default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKlaus H. Maier-Hein
Klaus Maier-Hein – Klaus Hermann Maier-Hein – Klaus H. Fritzsche
Person information
- affiliation: German Cancer Research Center, Heidelberg, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
showing all ?? records
2020 – today
- 2026
[j60]Vladyslav Zalevskyi
, Thomas Sanchez, Misha P. T. Kaandorp, Margaux Roulet, Diego Fajardo-Rojas, Liu Li, Jana Hutter, Hongwei Bran Li, Matthew J. Barkovich, Hui Ji, Luca Wilhelmi, Aline Dändliker, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Ziga Spiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A. Niederer, András Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra:
Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge. Medical Image Anal. 109: 103941 (2026)- [j59]Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Tom Weidong Cai, Jacqueline Spurway, Yubo Tang, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasim, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xia, Hongxing Li, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana I. L. Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M. Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li:
Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos. Medical Image Anal. 111: 104043 (2026) - [j58]Federico Bolelli, Luca Lumetti, Niels van Nistelrooij, Shankeeth Vinayahalingam, Mattia Di Bartolomeo, Kevin Marchesini, Arrigo Pellacani, Ettore Candeloro, Gabriele Rosati, Tong Xi, Fabian Isensee, Yannick Kirchhoff, Lars Krämer, Maximilian Rokuss, Constantin Ulrich, Klaus Maier-Hein, Yuxian Jiang, Yusheng Liu, Lisheng Wang, Haoshen Wang, Siyu Chen, Zhiming Cui, Pengcheng Shi, Zhaohong Pan, Xiaokun Liang, Qi Ma, Ender Konukoglu, Marek Wodzinski, Henning Müller, Haipeng Mai, Xiaobing Dang, Shrajan Bhandary, Radu Grosu, Stefaan Bergé, Alexandre Anesi, Costantino Grana:
Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge. Medical Image Anal. 112: 104095 (2026) - [j57]Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman, Teng Zhang, Amarjeet Kumar, Walker R. Ueland, Michael J. Fassler, Chang Wang, Jinlong Huang, Xiao Sun, Lisheng Wang, Pengcheng Shi, Maximilian Rokuss, Michael Baumgartner, Yannick Kirchhof, Klaus H. Maier-Hein, Fabian Isensee, Shuolin Liu, Bing Han, Bong Thanh Nguyen, Dong-jin Shin, Park Ji-Woo, Matthew Choi, Kwang-Hyun Uhm, Sung-Jea Ko, Chanwoong Lee, Jaehee Chun, Jin Sung Kim, Minghui Zhang, Hanxiao Zhang, Xin You, Yun Gu, Zhaohong Pan, Xuan Liu, Xiaokun Liang, Markus Tiefenthaler, Enrique Almar-Munoz, Matthias Schwab, Mikhail Kotyushev, Rostislav Epifanov, Marek Wodzinski, Henning Müller, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Zhiwei Wang, Kaixiang Yang, Jintao Ren, Stine Sofia Korreman, Yuchong Gao, Hongye Zeng, Haoyu Zheng, Rui Zheng, Jinghua Yue, Fugen Zhou, Bo Liu, Alexander Cosman, Muxuan Liang, Chang Zhao, Gilbert R. Upchurch Jr., Yuyin Zhou, Michol A. Cooper, Wei Shao:
Multi-class segmentation of aortic branches and zones in computed tomography angiography: The AortaSeg24 challenge. Medical Image Anal. 113: 104188 (2026) - [j56]Niels van Nistelrooij, Lars Krämer, Steven Kempers, Michel Beyer, Federico Bolelli, Tong Xi, Stefaan Bergé, Max Heiland, Klaus H. Maier-Hein, Shankeeth Vinayahalingam, Fabian Isensee:
ToothSeg: Robust Tooth Instance Segmentation and Numbering in CBCT Using Deep Learning and Self-Correction. IEEE J. Biomed. Health Informatics 30(8): 6801-6812 (2026) - [j55]Yudi Sang, Yanzhen Liu, Sutuke Yibulayimu, Yunning Wang, Benjamin D. Killeen, Mingxu Liu, Ping-Cheng Ku, Ole Johannsen, Karol Gotkowski, Maximilian Zenk, Klaus Maier-Hein, Fabian Isensee, Peiyan Yue, Yi Wang, Haidong Yu, Zhaohong Pan, Yutong He, Xiaokun Liang, Daiqi Liu, Fuxin Fan, Artur Jurgas, Andrzej Skalski, Yuxi Ma, Jing Yang, Szymon Plotka, Rafal Litka, Gang Zhu, Yingchun Song, Mathias Unberath, Mehran Armand, Dan Ruan, S. Kevin Zhou, Qiyong Cao, Chunpeng Zhao, Xinbao Wu, Yu Wang:
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-Ray: Summary of the PENGWIN 2024 Challenge. IEEE Trans. Medical Imaging 45(5): 2212-2228 (2026) - [j54]Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Klaus H. Maier-Hein, Fabian Isensee:
Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging. Trans. Mach. Learn. Res. 2026 (2026) - [j53]Tassilo Wald, Saikat Roy, Fabian Isensee, Constantin Ulrich, Sebastian Ziegler, Dasha Trofimova, Raphael Stock, Michael Baumgartner, Gregor Köhler, Klaus Maier-Hein:
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation. Trans. Mach. Learn. Res. 2026 (2026) - [c168]Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal, Balint Kovacs, Saikat Roy, Constantin Ulrich, Tassilo Wald, Lukas T. Rotkopf, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Abstract: LesionLocator - Zero-shot Universal Tumor Segmentation and Tracking in 3D Whole-body Imaging. Bildverarbeitung für die Medizin 2026: 83 - [c167]Constantin Ulrich, Tassilo Wald, Jonathan Suprijadi, Sebastian Ziegler, Michal Nohel, Robin Peretzke, Gregor Köhler, Klaus H. Maier-Hein:
Abstract: An OpenMind for 3D Medical Vision Self-supervised Learning. Bildverarbeitung für die Medizin 2026: 109 - [c166]Robin Peretzke, Marlin Hanstein, Maximilian Fischer, Lars Wessel, Obada Alhalabi, Sebastian Regnery, Andreas Kudak, Maximilian Deng, Tanja Eichkorn, Philipp Hoegen-Saßmannshausen, Fabian Allmendinger, Jan-Hendrik Bolten, Philipp Schröter, Christine Jungk, Jürgen Debus, Peter Neher, Laila König, Klaus H. Maier-Hein:
Multimodal Classification of Radiation-induced Contrast Enhancement and Tumor Recurrence using Deep Learning. Bildverarbeitung für die Medizin 2026: 118-123 - [c165]Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus H. Maier-Hein:
Abstract: Unlocking the Potential of Digital Pathology - Novel Baselines for Compression. Bildverarbeitung für die Medizin 2026: 194 - [c164]Balint Kovacs, Goran Stanic, Fabian Weykamp, Florian Ebert, Dimitrios Bounias, Bouchra Tawk, Martin Niklas, Jakob Liermann, Oliver Jäkel, Klaus H. Maier-Hein, Ralf Floca, Kristina Giske:
Abstract: Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy. Bildverarbeitung für die Medizin 2026: 269 - [c163]Nilesh P. Rijhwani, Titus J. Brinker, Peter Neher, Marco Nolden, Klaus H. Maier-Hein, Christoph Wies, Maximilian Fischer:
Bridging Radiology and Pathology - A DICOM-based Framework for Multimodal Mapping and Integrated Visualization. Bildverarbeitung für die Medizin 2026: 315-320 - [c162]Katharina Eckstein, Constantin Ulrich, Michael Baumgartner, Jessica Kächele, Dimitrios Bounias, Tassilo Wald, Ralf Floca, Klaus H. Maier-Hein:
Abstract: The Missing Piece - A Case for Pre-training in 3D Medical Object Detection. Bildverarbeitung für die Medizin 2026: 435 - [c161]Jessica Kächele, Markus Wennmann, Arvin von Salomon, Peter Neher, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Abstract: Automated Detection of Focal Bone Marrow Lesions from MRI - A Multi-center Feasibility Study in Patients with Monoclonal Plasma Cell Disorders. Bildverarbeitung für die Medizin 2026: 464 - [c160]Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel:
Abstract: Enhancing Deep Learning Methods for Brain Metastasis Detection Through Cross-technique Annotations on SPACE MRI. Bildverarbeitung für die Medizin 2026: 466 - [c159]Vanessa Emanuela Guarino, Claudia Winklmayr, Jannik Franzen, Josef Lorenz Rumberger, Manuel Pfeuffer, Sonja Greven, Klaus Maier-Hein, Dagmar Kainmueller, Christoph Karg, Carsten T. Lüth:
Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance. CVPR 2026: 13145-13156 - [c158]Maximilian Rokuss, Moritz Langenberg, Yannick Kirchhoff, Fabian Isensee, Benjamin Hamm, Constantin Ulrich, Sebastian Regnery, Lukas Bauer, Efthimios Katsigiannopulos, Tobias Norajitra, Klaus Maier-Hein:
VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation. CVPR 2026: 37538-37557 - [c157]Tassilo Wald, Ibrahim Ethem Hamamci, Yuan Gao, Sam Bond-Taylor, Harshita Sharma, Maximilian Ilse, Cynthia Lo, Olesya Melnichenko, Anton Schwaighofer, Noel C. F. Codella, Maria Teodora Wetscherek, Klaus H. Maier-Hein, Panagiotis Korfiatis, Valentina Salvatelli, Javier Alvarez-Valle, Fernando Pérez-García:
Comprehensive Language-Image Pre-training for 3D Medical Image Understanding. ECCV (28) 2026: 388-406 - [c156]Nico Disch, Saikat Roy, Constantin Ulrich, Yannick Kirchhoff, Maximilian Rokuss, Robin Peretzke, David Zimmerer, Klaus Maier-Hein:
CRONOS: Continuous time reconstruction for 4D medical longitudinal series. ICLR 2026 - [c155]Yannick Kirchhoff, Maximilian Rokuss, Daniel Philipp Mertens, David Füller, Benjamin Hamm, Andreas Schreyer, Oliver Ritter, Klaus Maier-Hein:
Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking. MICCAI (10) 2026: 259-269 - [c154]Benjamin Hamm, Yannick Kirchhoff, Maximilian Rokuss, Moritz Langenberg, Constantin Ulrich, Tassilo Wald, Jeremias Traub, Karol Gotkowski, Klaus Maier-Hein:
Feature Space Guidance for Breast Cancer Classification in DCE-MRI. MICCAI (8) 2026: 275-285 - [e10]Heinz Handels, Katharina Breininger, Thomas M. Deserno, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15 - 17, 2026. Informatik Aktuell, Springer 2026, ISBN 978-3-658-51099-2 [contents] - [i143]Nilesh P. Rijhwani, Titus J. Brinker, Peter Neher, Marco Nolden, Klaus H. Maier-Hein, Maximilian Fischer, Christoph Wies:
Bridging Radiology and Pathology: A DICOM-Based Framework for Multimodal Mapping and Integrated Visualization. CoRR abs/2601.11558 (2026) - [i142]Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jäger, Klaus H. Maier-Hein, Fabian Isensee:
Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging. CoRR abs/2601.13677 (2026) - [i141]Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Weidong Cai, Jacqueline Spurway, Yubo Tang, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasim, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xian, Hongxing Lin, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana I. L. Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M. Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li:
Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos. CoRR abs/2602.12922 (2026) - [i140]Robin Peretzke, Marlin Hanstein, Maximilian Fischer, Lars Wessel, Obada Alhalabi, Sebastian Regnery, Andreas Kudak, Maximilian Deng, Tanja Eichkorn, Philipp Hoegen-Saßmannshausen, Fabian Allmendinger, Jan-Hendrik Bolten, Philipp Schröter, Christine Jungk, Jürgen Debus, Peter Neher, Laila König, Klaus H. Maier-Hein:
Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning. CoRR abs/2603.11827 (2026) - [i139]Vanessa Emanuela Guarino, Claudia Winklmayr, Jannik Franzen, Josef Lorenz Rumberger, Manuel Pfeuffer, Sonja Greven, Klaus H. Maier-Hein, Carsten T. Lüth, Christoph Karg, Dagmar Kainmueller:
Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance. CoRR abs/2603.29941 (2026) - [i138]Asbjørn Munk, Stefano Cerri, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora-García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotár, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlák, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony J. Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour-Ghazi, Akshay Pai, Espen Jimenez-Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen:
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge. CoRR abs/2604.11679 (2026) - [i137]Tristan Kirscher, Alexandra Ertl, Klaus Maier-Hein, Xavier Coubez, Philippe Meyer, Sylvain Faisan:
TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation. CoRR abs/2604.15950 (2026) - [i136]Jakob Dexl, Katharina Jeblick, Andreas Mittermeier, Balthasar Schachtner, Anna Theresa Stüber, Johanna Topalis, Maximilian Rokuss, Fabian Isensee, Klaus H. Maier-Hein, Hamza Kalisch, Jens Kleesiek, Constantin Marc Seibold, Hussain Alasmawi, Lap Yan Lennon Chan, Yixuan Yuan, Alexander Jaus, Rainer Stiefelhagen, Pauline Ornela Megne Choudja, Konstantin Nikolaou, Christian la Fougère, Sergios Gatidis, Matthias Fabritius, Maurice Heimer, Gizem Abaci, Lalith Kumar Shiyam Sundar, Rudolf A. Werner, Jens Ricke, Clemens C. Cyran, Thomas Küstner, Michael Ingrisch:
The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT - Multitracer Multicenter Generalization. CoRR abs/2605.05775 (2026) - [i135]Marawan Elbatel, Mohamed Ghonim, Jiaji Mao, Zhuosheng Lin, Katharina Eckstein, Andrés Martínez Mora, Jonathan Deissler, Maximilian Rokuss, Constantin Ulrich, Zdravko Marinov, Wenhui Deng, Baoxun Li, Huijun Hu, Jun Shen, Mohanad Ghonim, Khadiga Omar Nassar, Hazem M. El-Bakry, Menna Dyab, Amr Muhammad Abdo-Salem, Nouran Elghitany, Noha Elghitany, Yi Qin, Xuanqi Huang, Haonan Wang, Shao-Woo Yen, Ahmed Elghamry Saba, Salma Ahmad, Xinyan Fang, Jiahao Zhang, Xiaodi Wang, Xinghua Ma, Gongning Luo, Jessica C. Delmoral, João Manuel R. S. Tavares, Ankan Deria, Adinath Madhavrao Dukre, Yutong Xie, Imran Razzak, Dongwook Kim, Matthew Choi, Hanxiao Zhang, Minghui Zhang, Xin You, Abdul Qayyum, Steven A. Niederer, Moona Mazher, Rachika E. Hamadache, Ricardo Montoya-del-Angel, Robert Martí, Xavier Lladó, Toufiq Musah, Livingstone Eli Ayivor, Enrique Almar-Munoz, Agnes Mayr, Kaouther Mouheb, Esther E. Bron, Stefan Klein, Ahmed Abouelhoda, Amira Adel, Susan Adil Ali, Rainer Stiefelhagen, Klaus H. Maier-Hein, Fabian Isensee, Aya Yassin, Xiaomeng Li:
TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT. CoRR abs/2605.16572 (2026) - [i134]Tristan Kirscher, Markus Bujotzek, Yannick Kirchhoff, Maximilian Rokuss, Fabian Isensee, Kim-Celine Kahl, Balint Kovacs, Klaus Maier-Hein:
Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation. CoRR abs/2605.18329 (2026) - [i133]Yannick Kirchhoff, Maximilian Rokuss, Daniel Philipp Mertens, David Füller, Benjamin Hamm, Andreas Schreyer, Oliver Ritter, Klaus Maier-Hein:
Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking. CoRR abs/2605.23118 (2026) - [i132]Markus Bujotzek, Jonas Scherer, Stefan Denner, Peter Neher, Benjamin Hamm, Lorenz Feineis, Ünal Akünal, Andreas Bucher, Tobias Penzkofer, Klaus Maier-Hein:
An Open-Source Monitoring Framework for Data Exploration and Progress Tracking in Multi-Center Radiology Studies. CoRR abs/2606.16861 (2026) - [i131]Markus Bujotzek, Dimitrios Bounias, Stefan Denner, Ralf Floca, Maximilian Fischer, Peter Neher, Klaus Maier-Hein:
Federated Medical Image Segmentation under Real-World Label Noise: A Benchmark Suite for Noisy Label Learning Method Selection. CoRR abs/2606.16868 (2026) - [i130]Tristan Kirscher, Kim-Celine Kahl, Balint Kovacs, Maximilian Rokuss, Klaus Maier-Hein, Xavier Coubez, Philippe Meyer, Sylvain Faisan:
Rethinking Post-Hoc Calibration in Semantic Segmentation. CoRR abs/2607.01902 (2026) - [i129]Maksym Fritsak, Maximilian Rokuss, Hubert S. Gabrys, Yannick Kirchhoff, Benjamin Hamm, Sebastian M. Christ, Nicolas Martz, Isabelle Opitz, Rolf Stahel, Martin Hüllner, Matthias Guckenberger, Klaus Maier-Hein, Stephanie Tanadini-Lang:
GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for 18F-FDG-PET/CT. CoRR abs/2607.03931 (2026) - [i128]Santhosh Parampottupadam, Andres Martinez, Dimitrios Bounias, Sinem Sav, Klaus Maier-Hein, Ralf Floca:
Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks. CoRR abs/2607.14205 (2026) - [i127]Jonathan Suprijadi, Raphael Stock, Moritz Langenberg, David Zimmerer, Kim-Celine Kahl, Stefan Denner, Yannick Kirchhoff, Karol Gotkowski, Maximilian Rokuss, Jeremias Traub, Tassilo Wald, Constantin Ulrich, Klaus Maier-Hein:
Resolution Meets Reduction: Efficient Visual Context for 3D Radiology Report Generation. CoRR abs/2608.08713 (2026) - 2025
- [j52]Stefan Denner, David Zimmerer, Dimitrios Bounias, Markus Bujotzek, Shuhan Xiao, Raphael Stock, Lisa Kausch, Philipp Schader, Tobias Penzkofer, Paul F. Jäger, Klaus H. Maier-Hein:
Leveraging foundation models for content-based image retrieval in radiology. Comput. Biol. Medicine 196: 110640 (2025) - [j51]Dimitrios Bounias, Michael Baumgartner, Peter Neher, Balint Kovacs, Ralf Floca, Lorenz A. Kapsner, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Paul F. Jaeger, Michael Uder, Klaus H. Maier-Hein, Sebastian Bickelhaupt:
Risk-adjusted training and evaluation for breast cancer detection. Comput. Biol. Medicine 198: 111277 (2025) - [j50]Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Andreas Bucher, Rickmer Braren:
Real-world federated learning in radiology: hurdles to overcome and benefits to gain. J. Am. Medical Informatics Assoc. 32(1): 193-205 (2025) - [j49]Dimitrios Bounias, Lina Simons, Michael Baumgartner, Chris Ehring, Peter Neher, Lorenz A. Kapsner, Balint Kovacs, Ralf Floca, Paul F. Jaeger, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Lena Maier-Hein, Michael Uder, Evelyn Wenkel, Klaus H. Maier-Hein, Sebastian Bickelhaupt:
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload. J. Am. Medical Informatics Assoc. 32(12): 1908-1915 (2025) - [j48]Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. Medical Image Anal. 99: 103353 (2025) - [j47]Maximilian Zenk, David Zimmerer, Fabian Isensee, Jeremias Traub, Tobias Norajitra, Paul F. Jäger, Klaus H. Maier-Hein:
Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregation. Medical Image Anal. 101: 103392 (2025) - [j46]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. Medical Image Anal. 101: 103447 (2025) - [j45]Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353]. Medical Image Anal. 104: 103651 (2025) - [j44]Fergus Imrie, Stefan Denner, Lucas S. Brunschwig, Klaus H. Maier-Hein, Mihaela van der Schaar:
Automated Ensemble Multimodal Machine Learning for Healthcare. IEEE J. Biomed. Health Informatics 29(6): 4213-4226 (2025) - [j43]Federico Bolelli, Luca Lumetti, Shankeeth Vinayahalingam, Mattia Di Bartolomeo, Arrigo Pellacani, Kevin Marchesini, Niels van Nistelrooij, Pieter van Lierop, Tong Xi, Yusheng Liu, Rui Xin, Tao Yang, Lisheng Wang, Haoshen Wang, Chenfan Xu, Zhiming Cui, Marek Wodzinski, Henning Müller, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Jae-Hwan Han, Wan Kim, Hong-Gi Ahn, Tomasz Szczepanski, Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Vicent Caselles Costa, Xavier Paolo Burgos-Artizzu, Ferran Prados Carrasco, Stefaan Bergé, Bram van Ginneken, Alexandre Anesi, Costantino Grana:
Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge. IEEE Trans. Medical Imaging 44(4): 1890-1906 (2025) - [j42]Kim-Celine Kahl, Selen Erkan, Jeremias Traub, Carsten T. Lüth, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger:
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks. Trans. Mach. Learn. Res. 2025 (2025) - [j41]Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation. Trans. Mach. Learn. Res. 2025 (2025) - [c153]Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger:
Abstract: nnU-Net Revisited - Call for Rigorous Validation in 3D Medical Image Segmentation. Bildverarbeitung für die Medizin 2025: 154 - [c152]Maximilian Fischer, Florian M. Hauptmann, Robin Peretzke, Paul Naser, Peter Neher, Jan-Oliver Neumann, Klaus H. Maier-Hein:
Precision ICU Resource Planning - A Multimodal Model for Brain Surgery Outcomes. Bildverarbeitung für die Medizin 2025: 197-202 - [c151]Markus Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Klaus H. Maier-Hein, Andreas Bucher, Rickmer Braren:
Abstract: Real-world Federated Learning in Radiology - Hurdles to Overcome and Benefits to Gain. Bildverarbeitung für die Medizin 2025: 215 - [c150]Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein:
Abstract: Skeleton Recall Loss - Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. Bildverarbeitung für die Medizin 2025: 241 - [c149]Michal Nohel, Constantin Ulrich, Jonathan Suprijadi, Tassilo Wald, Klaus H. Maier-Hein:
Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data. Bildverarbeitung für die Medizin 2025: 242-247 - [c148]Santhosh Parampottupadam, Ralf Floca, Dimitrios Bounias, Benjamin Hamm, Saikat Roy, Sinem Sav, Maximilian Zenk, Klaus H. Maier-Hein:
Abstract: Client Security Alone Fails in Federated Learning - 2D and 3D Attack Insights. Bildverarbeitung für die Medizin 2025: 283 - [c147]Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein:
Abstract: Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting. Bildverarbeitung für die Medizin 2025: 323 - [c146]Maximilian Fischer, Peter Neher, Tassilo Wald, Constantin Ulrich, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Abstract: Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. Bildverarbeitung für die Medizin 2025: 348-349 - [c145]Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko, Andrei Goncharov, Alberto Paderno, Maximilian Miller, Leander Maerkisch, Paul F. Jaeger, Klaus H. Maier-Hein:
Revisiting MAE Pre-training for 3D Medical Image Segmentation. CVPR 2025: 5186-5196 - [c144]Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal, Balint Kovacs, Saikat Roy, Constantin Ulrich, Tassilo Wald, Lukas T. Rotkopf, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging. CVPR 2025: 30872-30885 - [c143]Tassilo Wald, Constantin Ulrich, Jonathan Suprijadi, Sebastian Ziegler, Michal Nohel, Robin Peretzke, Gregor Köhler, Klaus Maier-Hein:
An OpenMind for 3D Medical Vision Self-supervised Learning. ICCV 2025: 23839-23879 - [c142]Max Klabunde, Tassilo Wald, Tobias Schumacher, Klaus H. Maier-Hein, Markus Strohmaier, Florian Lemmerich:
ReSi: A Comprehensive Benchmark for Representational Similarity Measures. ICLR 2025 - [c141]Balint Kovacs, Goran Stanic, Fabian Weykamp, Florian Ebert, Dimitrios Bounias, Bouchra Tawk, Martin Niklas, Jakob Liermann, Oliver Jäkel, Klaus H. Maier-Hein, Ralf Floca, Kristina Giske:
Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy. MICCAI (6) 2025: 121-130 - [c140]Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, Klaus H. Maier-Hein:
On Tackling Domain Shift in Breast MRI Using Only Publicly-Available Data: Reproducible Breast Cancer Segmentation and pCR Prediction. Deep-Breath@MICCAI 2025: 310-319 - [c139]Karol Gotkowski, Klaus H. Maier-Hein, Fabian Isensee:
Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation. MICCAI (8) 2025: 436-446 - [c138]Katharina Eckstein, Constantin Ulrich, Michael Baumgartner, Jessica Kächele, Dimitrios Bounias, Tassilo Wald, Ralf Floca, Klaus H. Maier-Hein:
The Missing Piece: A Case for Pre-training in 3D Medical Object Detection. MICCAI (4) 2025: 615-626 - [c137]Stefan Dvoretskii, Michele Bortolomeazzi, Christian Schmidt, Josh Moore, Klaus H. Maier-Hein, Marco Nolden:
OMExcavator: a tool for exporting and connecting domain-specific metadata in a wider knowledge graph. SWAT4HCLS 2025: 230-232 - [c136]Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein:
Enhancing Predictive Imaging Biomarker Discovery Through Treatment Effect Analysis. WACV 2025: 4512-4522 - [e9]Christoph Palm, Katharina Breininger, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2025 - Proceedings, German Conference on Medical Image Computing, Regensburg, March 09-11, 2025. Informatik Aktuell, Springer 2025, ISBN 978-3-658-47421-8 [contents] - [i126]Wenxuan Li, Pedro R. A. S. Bassi, Tianyu Lin, Yu-Cheng Chou, Xinze Zhou, Yucheng Tang, Fabian Isensee, Kang Wang, Qi Chen, Xiaowei Xu, Xiaoxi Chen, Lizhou Wu, Qilong Wu, Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Yuxuan Zhao, Dexin Yu, Kai Ding, Constantin Ulrich, Klaus H. Maier-Hein, Yang Yang, Alan L. Yuille, Zongwei Zhou:
ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models. CoRR abs/2501.03410 (2025) - [i125]Michal Nohel, Constantin Ulrich, Jonathan Suprijadi, Tassilo Wald, Klaus H. Maier-Hein:
A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data. CoRR abs/2501.04361 (2025) - [i124]Gongning Luo, Mingwang Xu, Hongyu Chen, Xinjie Liang, Xing Tao, Dong Ni, Hyunsu Jeong, Chulhong Kim, Raphael Stock, Michael Baumgartner, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Zhikai Yang, Tianyu Fan, Nicolas Boutry, Dmitry Tereshchenko, Arthur Moine, Maximilien Charmetant, Jan Sauer, Hao Du, Xiang-Hui Bai, Vipul Pai Raikar, Ricardo Montoya-del-Angel, Robert Marti, Miguel Luna, Dongmin Lee, Abdul Qayyum, Moona Mazher, Qihui Guo, Changyan Wang, Navchetan Awasthi, Qiaochu Zhao, Wei Wang, Kuanquan Wang, Qiucheng Wang, Suyu Dong:
Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge. CoRR abs/2501.15588 (2025) - [i123]Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman, Teng Zhang, Amarjeet Kumar, Walker R. Ueland, Michael J. Fassler, Jinlong Huang, Xiao Sun, Lisheng Wang, Pengcheng Shi, Maximilian Rokuss, Michael Baumgartner, Yannick Kirchhoff, Klaus H. Maier-Hein, Fabian Isensee, Shuolin Liu, Bing Han, Bong Thanh Nguyen, Dong-jin Shin, Park Ji-Woo, Mathew Choi, Kwang-Hyun Uhm, Sung-Jea Ko, Chanwoong Lee, Jaehee Chun, Jin Sung Kim, Minghui Zhang, Hanxiao Zhang, Xin You, Yun Gu, Zhaohong Pan, Xuan Liu, Xiaokun Liang, Markus Tiefenthaler, Enrique Almar-Munoz, Matthias Schwab, Mikhail Kotyushev, Rostislav Epifanov, Marek Wodzinski, Henning Müller, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Zhiwei Wang, Kaixiang Yang, Jintao Ren, Stine Sofia Korreman, Yuchong Gao, Hongye Zeng, Haoyu Zheng, Rui Zheng, Jinghua Yue, Fugen Zhou, Bo Liu, Alexander Cosman, Muxuan Liang, Chang Zhao, Gilbert R. Upchurch Jr., Jun Ma, Yuyin Zhou, Michol A. Cooper, Wei Shao:
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. CoRR abs/2502.05330 (2025) - [i122]Tim Rädsch, Leon D. Mayer, Simon Pavicic, A. Emre Kavur, Marcel Knopp, Baris Öztürk, Klaus H. Maier-Hein, Paul F. Jaeger, Fabian Isensee, Annika Reinke, Lena Maier-Hein:
Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation. CoRR abs/2502.15563 (2025) - [i121]Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal, Balint Kovacs, Saikat Roy, Constantin Ulrich, Tassilo Wald, Lukas T. Rotkopf, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging. CoRR abs/2502.20985 (2025) - [i120]Tassilo Wald, Saikat Roy, Fabian Isensee, Constantin Ulrich, Sebastian Ziegler, Dasha Trofimova, Raphael Stock, Michael Baumgartner, Gregor Köhler, Klaus H. Maier-Hein:
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation. CoRR abs/2503.01835 (2025) - [i119]Fabian Isensee, Maximilian Rokuss, Lars Krämer, Stefan Dinkelacker, Ashis Ravindran, Florian Stritzke, Benjamin Hamm, Tassilo Wald, Moritz Langenberg, Constantin Ulrich, Jonathan Deissler, Ralf Floca, Klaus H. Maier-Hein:
nnInteractive: Redefining 3D Promptable Segmentation. CoRR abs/2503.08373 (2025) - [i118]Yudi Sang, Yanzhen Liu, Sutuke Yibulayimu, Yunning Wang, Benjamin D. Killeen, Mingxu Liu, Ping-Cheng Ku, Ole Johannsen, Karol Gotkowski, Maximilian Zenk, Klaus H. Maier-Hein, Fabian Isensee, Peiyan Yue, Yi Wang, Haidong Yu, Zhaohong Pan, Yutong He, Xiaokun Liang, Daiqi Liu, Fuxin Fan, Artur Jurgas, Andrzej Skalski, Yuxi Ma, Jing Yang, Szymon Plotka, Rafal Litka, Gang Zhu, Yingchun Song, Mathias Unberath, Mehran Armand, Dan Ruan, S. Kevin Zhou, Qiyong Cao, Chunpeng Zhao, Xinbao Wu, Yu Wang:
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge. CoRR abs/2504.02382 (2025) - [i117]Constantin Ulrich, Tassilo Wald, Fabian Isensee, Klaus H. Maier-Hein:
Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation. CoRR abs/2504.06741 (2025) - [i116]Alexandra Ertl, Shuhan Xiao, Stefan Denner, Robin Peretzke, David Zimmerer, Peter Neher, Fabian Isensee, Klaus H. Maier-Hein:
nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection. CoRR abs/2504.06742 (2025) - [i115]Vladyslav Zalevskyi, Thomas Sanchez, Misha P. T. Kaandorp, Margaux Roulet, Diego Fajardo-Rojas, Liu Li, Jana Hutter, Hongwei Bran Li, Matthew J. Barkovich, Hui Ji, Luca Wilhelmi, Aline Dändliker, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Ziga Spiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A. Niederer, András Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra:
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. CoRR abs/2505.02784 (2025) - [i114]Santhosh Parampottupadam, Melih Cosgun, Sarthak Pati, Maximilian Zenk, Saikat Roy, Dimitrios Bounias, Benjamin Hamm, Sinem Sav, Ralf Floca, Klaus H. Maier-Hein:
Inclusive, Differentially Private Federated Learning for Clinical Data. CoRR abs/2505.22108 (2025) - [i113]Maximilian Rokuss, Benjamin Hamm, Yannick Kirchhoff, Klaus H. Maier-Hein:
Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation. CoRR abs/2507.13830 (2025) - [i112]Linmin Pei, Sutton Granger, Michael W. Rutherford, Ulrike Wagner, Tracy S. Nolan, Kirk E. Smith, Phillip Farmer, Peter Gu, Ambar Rana, Kailing Chen, Thomas Ferleman, Brian Park, Ye Wu, Jordan Kojouharov, Gargi Singh, Jon Lemon, Tyler Willis, Milos Vukadinovic, Grant Duffy, Bryan He, David Ouyang, Marco Pereanez, Daniel D. Samber, Derek A. Smith, Christopher Cannistraci, Zahi Fayad, David S. Mendelson, Michele Bufano, Elmar Kotter, Hamideh Haghiri, Rajesh Baidya, Stefan Dvoretskii, Klaus H. Maier-Hein, Marco Nolden, Christopher Ablett, Silvia Siggillino, Sandeep Kaushik, Hongzhu Jiang, Sihan Xie, Zhiyu Wan, Alex Michie, Simon J. Doran, Angeline Aurelia Waly, Felix A. Nathaniel Liang, Humam Arshad Mustagfirin, Michelle Grace Felicia, Kuo Po Chih, Rahul Krish, Ghulam Rasool, Nidhal Bouaynaya, Nikolas Koutsoubis, Kyle Naddeo, Kartik Pandit, Tony O'Sullivan, Raj Krish, Qinyan Pan, Scott Gustafson, Benjamin Kopchick, Laura Opsahl-Ong, Andrea Olvera-Morales, Jonathan Pinney, Kathryn Johnson, Theresa Do, Juergen Klenk, Maria Diaz, Arti Singh, Rong Chai, David A. Clunie, Fred W. Prior, Keyvan Farahani:
Medical Image De-Identification Benchmark Challenge. CoRR abs/2507.23608 (2025) - [i111]Nico Disch, Yannick Kirchhoff, Robin Peretzke, Maximilian Rokuss, Saikat Roy, Constantin Ulrich, David Zimmerer, Klaus H. Maier-Hein:
Temporal Flow Matching for Learning Spatio-Temporal Trajectories in 4D Longitudinal Medical Imaging. CoRR abs/2508.21580 (2025) - [i110]Maximilian Rokuss, Yannick Kirchhoff, Fabian Isensee, Klaus H. Maier-Hein:
Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models. CoRR abs/2508.21680 (2025) - [i109]Omer Faruk Durugol, Maximilian Rokuss, Yannick Kirchhoff, Klaus H. Maier-Hein:
A Multi-Stage Fine-Tuning and Ensembling Strategy for Pancreatic Tumor Segmentation in Diagnostic and Therapeutic MRI. CoRR abs/2508.21775 (2025) - [i108]Hamideh Haghiri, Rajesh Baidya, Stefan Dvoretskii, Klaus H. Maier-Hein, Marco Nolden:
A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge. CoRR abs/2509.00437 (2025) - [i107]Yannick Kirchhoff, Maximilian Rokuss, Fabian Isensee, Klaus H. Maier-Hein:
Promptable Longitudinal Lesion Segmentation in Whole-Body CT. CoRR abs/2509.00613 (2025) - [i106]Katharina Eckstein, Constantin Ulrich, Michael Baumgartner, Jessica Kächele, Dimitrios Bounias, Tassilo Wald, Ralf Floca, Klaus H. Maier-Hein:
The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection. CoRR abs/2509.15947 (2025) - [i105]Tassilo Wald, Ibrahim Ethem Hamamci, Yuan Gao, Sam Bond-Taylor, Harshita Sharma, Maximilian Ilse, Cynthia Lo, Olesya Melnichenko, Noel C. F. Codella, Maria Teodora Wetscherek, Klaus H. Maier-Hein, Korfiatis Panagiotis, Valentina Salvatelli, Javier Alvarez-Valle, Fernando Pérez-García:
Comprehensive language-image pre-training for 3D medical image understanding. CoRR abs/2510.15042 (2025) - [i104]Benjamin Hamm, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein:
MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI. CoRR abs/2510.27326 (2025) - [i103]Maximilian Rokuss, Moritz Langenberg, Yannick Kirchhoff, Fabian Isensee, Benjamin Hamm, Constantin Ulrich, Sebastian Regnery, Lukas Bauer, Efthimios Katsigiannopulos, Tobias Norajitra, Klaus H. Maier-Hein:
VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation. CoRR abs/2511.11450 (2025) - [i102]Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation. CoRR abs/2511.19183 (2025) - [i101]Ünal Akünal, Markus Bujotzek, Stefan Denner, Benjamin Hamm, Klaus Kades, Philipp Schader, Jonas Scherer, Marco Nolden, Peter Neher, Ralf Floca, Klaus H. Maier-Hein:
Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments. CoRR abs/2512.09644 (2025) - [i100]Lena Giebeler, Deepa Krishnaswamy, David Clunie, Jakob Wasserthal, Lalith Kumar Shiyam Sundar, Andres Diaz-Pinto, Klaus H. Maier-Hein, Murong Xu, Bjoern H. Menze, Steven D. Pieper, Ron Kikinis, Andrey Fedorov:
In search of truth: Evaluating concordance of AI-based anatomy segmentation models. CoRR abs/2512.15921 (2025) - [i99]Nico Disch, Saikat Roy, Constantin Ulrich, Yannick Kirchhoff, Maximilian Rokuss, Robin Peretzke, David Zimmerer, Klaus H. Maier-Hein:
CRONOS: Continuous Time Reconstruction for 4D Medical Longitudinal Series. CoRR abs/2512.16577 (2025) - [i98]Saikat Roy, Yannick Kirchhoff, Constantin Ulrich, Maximillian Rokuss, Tassilo Wald, Fabian Isensee, Klaus H. Maier-Hein:
MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation. CoRR abs/2512.17774 (2025) - 2024
- [j40]Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. 95: 103206 (2024) - [c135]Gianluca Brugnara, Michael Baumgartner, Edwin D. Scholze, Katerina Deike-Hofmann, Klaus Kades, Jonas Scherer, Stefan Denner, Hagen Meredig, Aditya Rastogi, Mustafa A. Mahmutoglu, Christian Ulfert, Ulf Neuberger, Silvia Schönenberger, Kai Schlamp, Zeynep Bendella, Thomas Pinetz, Carsten Schmeel, Wolfgang Wick, Peter A. Ringleb, Ralf Floca, Markus Möhlenbruch, Alexander Radbruch, Martin Bendszus, Klaus H. Maier-Hein, Philipp Vollmuth:
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke. Bildverarbeitung für die Medizin 2024: 9 - [c134]Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
Abstract: Multi-dataset Approach to Medical Image Segmentation - MultiTalent. Bildverarbeitung für die Medizin 2024: 78 - [c133]Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein:
Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt. Bildverarbeitung für die Medizin 2024: 79 - [c132]Lucas Kulla, Philipp Schader, Klaus H. Maier-Hein, Marco Nolden:
Harmonized Import of Clinical Research Data for the Open Source Image Analysis Platform Kaapana. Bildverarbeitung für die Medizin 2024: 102-107 - [c131]Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jäger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Görtz, Viktoria Schütz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein:
Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. Bildverarbeitung für die Medizin 2024: 114 - [c130]Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein:
Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD. Bildverarbeitung für die Medizin 2024: 115 - [c129]Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heußel, Tobias Norajitra:
Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance. Bildverarbeitung für die Medizin 2024: 129 - [c128]Maximilian Fischer, Peter Neher, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. Bildverarbeitung für die Medizin 2024: 158 - [c127]Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein:
Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement. Bildverarbeitung für die Medizin 2024: 219 - [c126]Dimitrios Bounias, Michael Baumgartner, Peter Neher, Balint Kovacs, Ralf Floca, Paul F. Jaeger, Lorenz A. Kapsner, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Klaus H. Maier-Hein, Sebastian Bickelhaupt:
Abstract: Object Detection for Breast Diffusion-weighted Imaging. Bildverarbeitung für die Medizin 2024: 334 - [c125]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive. Bildverarbeitung für die Medizin 2024: 335 - [c124]Raphael Stock, Yannick Kirchhoff, Maximilian Rokuss, Ashis Ravindran, Klaus H. Maier-Hein:
Segment Anything in Medical Images with nnUNet. MedSAM@CVPR 2024: 167-179 - [c123]Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein:
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. ECCV (77) 2024: 218-234 - [c122]Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger:
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation. ICLR 2024 - [c121]Fabian Isensee, Yannick Kirchhoff, Lars Krämer, Maximilian Rokuss, Constantin Ulrich, Klaus H. Maier-Hein:
Scaling nnU-Net for CBCT Segmentation. ToothFairy/3DTeethLand/STS@MICCAI 2024: 13-20 - [c120]Nico Disch, Robin Peretzke, Saikat Roy, Constantin Ulrich, David Zimmerer, Rainer Stiefelhagen, Jens Kleesiek, Klaus H. Maier-Hein:
Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI 2024: 15-25 - [c119]Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee:
Efficient Pan-Cancer Lesion Segmentation from Partially Labeled Data with nnU-Net. FLARE@MICCAI 2024: 43-53 - [c118]Jessica Kächele, Maximilian Zenk, Maximilian Rokuss, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein:
Enhanced nnU-Net Architectures for Automated MRI Segmentation of Head and Neck Tumors in Adaptive Radiation Therapy. HNTS-MRG@MICCAI 2024: 50-64 - [c117]Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein:
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI 2024: 64-74 - [c116]Yannick Kirchhoff, Ashis Ravindran, Maximilian Rokuss, Benjamin Hamm, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee:
Optimizing nnU-Net with OpenVINO for Fast CPU Inference in Abdominal Organ Segmentation. FLARE@MICCAI 2024: 96-105 - [c115]Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter J. Schüffler, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution. MOVI@MICCAI 2024: 97-107 - [c114]David Zimmerer, Klaus H. Maier-Hein:
Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images. UNSURE@MICCAI 2024: 138-148 - [c113]Jessica Kächele, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Marlin Hanstein, Florian M. Hauptmann, Dimitrios Bounias, Marco Nolden, Peter Neher, Klaus H. Maier-Hein:
Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification. DIAMOND/MARIO@MICCAI 2024: 192-200 - [c112]Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee:
Efficient Cross-Modality Abdominal Organ Segmentation Using nnU-Net and MIND Descriptors. FLARE@MICCAI 2024: 243-253 - [c111]Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger:
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. MICCAI (9) 2024: 488-498 - [c110]Constantin Ulrich, Catherine Knobloch, Julius C. Holzschuh, Tassilo Wald, Maximilian Rokuss, Maximilian Zenk, Maximilian Fischer, Michael Baumgartner, Fabian Isensee, Klaus H. Maier-Hein:
Mitigating False Predictions in Unreasonable Body Regions. MLMI@MICCAI (2) 2024: 22-31 - [c109]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 - [c108]Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger:
Overcoming Common Flaws in the Evaluation of Selective Classification Systems. NeurIPS 2024 - [c107]Tassilo Wald, Constantin Ulrich, Priyank Jaini, Gregor Köhler, David Zimmerer, Stefan Denner, Fabian Isensee, Michael Baumgartner, Klaus H. Maier-Hein:
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. NeurIPS 2024 - [c106]Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein:
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. WACV 2024: 799-807 - [e8]Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024. Informatik Aktuell, Springer 2024, ISBN 978-3-658-44036-7 [contents] - [i97]Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger:
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation. CoRR abs/2401.08501 (2024) - [i96]Stefan Denner, David Zimmerer, Dimitrios Bounias, Markus Bujotzek, Shuhan Xiao, Lisa Kausch, Philipp Schader, Tobias Penzkofer, Paul F. Jäger, Klaus H. Maier-Hein:
Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology. CoRR abs/2403.06567 (2024) - [i95]Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein:
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. CoRR abs/2403.07428 (2024) - [i94]Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein:
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. CoRR abs/2403.07434 (2024) - [i93]Katerina Deike-Hofmann, Dorottya Dancs, Daniel Paech, Heinz-Peter Schlemmer, Klaus H. Maier-Hein, Philipp Bäumer, Alexander Radbruch, Michael Götz:
Pre-examinations Improve Automated Metastases Detection on Cranial MRI. CoRR abs/2403.08280 (2024) - [i92]Karol Gotkowski, Carsten T. Lüth, Paul F. Jäger, Sebastian Ziegler, Lars Krämer, Stefan Denner, Shuhan Xiao, Nico Disch, Klaus H. Maier-Hein, Fabian Isensee:
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation. CoRR abs/2403.12834 (2024) - [i91]Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein:
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. CoRR abs/2404.03010 (2024) - [i90]Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger:
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. CoRR abs/2404.09556 (2024) - [i89]Deepa Krishnaswamy, Balint Kovacs, Stefan Denner, Steven D. Pieper, David Clunie, Christopher P. Bridge, Tina Kapur, Klaus H. Maier-Hein, Andrey Fedorov:
Automatic classification of prostate MR series type using image content and metadata. CoRR abs/2404.10892 (2024) - [i88]Constantin Ulrich, Catherine Knobloch, Julius C. Holzschuh, Tassilo Wald, Maximilian Rokuss, Maximilian Zenk, Maximilian Fischer, Michael Baumgartner, Fabian Isensee, Klaus H. Maier-Hein:
Mitigating False Predictions In Unreasonable Body Regions. CoRR abs/2404.15718 (2024) - [i87]Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Rickmer Braren, Andreas Bucher:
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain. CoRR abs/2405.09409 (2024) - [i86]Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR abs/2405.14900 (2024) - [i85]Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein:
Enhancing predictive imaging biomarker discovery through treatment effect analysis. CoRR abs/2406.02534 (2024) - [i84]Maximilian Zenk, David Zimmerer, Fabian Isensee, Jeremias Traub, Tobias Norajitra, Paul F. Jäger, Klaus H. Maier-Hein:
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation. CoRR abs/2406.03323 (2024) - [i83]Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter J. Schüffler, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. CoRR abs/2406.12623 (2024) - [i82]Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger:
Overcoming Common Flaws in the Evaluation of Selective Classification Systems. CoRR abs/2407.01032 (2024) - [i81]Fergus Imrie, Stefan Denner, Lucas S. Brunschwig, Klaus H. Maier-Hein, Mihaela van der Schaar:
Automated Ensemble Multimodal Machine Learning for Healthcare. CoRR abs/2407.18227 (2024) - [i80]Max Klabunde, Tassilo Wald, Tobias Schumacher, Klaus H. Maier-Hein, Markus Strohmaier, Florian Lemmerich:
ReSi: A Comprehensive Benchmark for Representational Similarity Measures. CoRR abs/2408.00531 (2024) - [i79]Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann S. LaCasce, Jonathan Deissler, Jan Ehrhardt, Sofija Engelson, Stefan M. Fischer, Yun Gu, Heinz Handels, Satoshi Kasai, Satoshi Kondo, Klaus H. Maier-Hein, Julia A. Schnabel, Guotai Wang, Litingyu Wang, Tassilo Wald, Guang-Zhong Yang, Hanxiao Zhang, Minghui Zhang, Steven D. Pieper, Gordon J. Harris, Ron Kikinis, Tina Kapur:
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification. CoRR abs/2408.10069 (2024) - [i78]Stefan Denner, Markus Bujotzek, Dimitrios Bounias, David Zimmerer, Raphael Stock, Paul F. Jäger, Klaus H. Maier-Hein:
Visual Prompt Engineering for Medical Vision Language Models in Radiology. CoRR abs/2408.15802 (2024) - [i77]Maximilian Rokuss, Balint Kovacs, Yannick Kirchhoff, Shuhan Xiao, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee:
From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging. CoRR abs/2409.09478 (2024) - [i76]Balint Kovacs, Shuhan Xiao, Maximilian Rokuss, Constantin Ulrich, Fabian Isensee, Klaus H. Maier-Hein:
Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge. CoRR abs/2409.10120 (2024) - [i75]Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images. CoRR abs/2409.10980 (2024) - [i74]Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein:
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting. CoRR abs/2409.13416 (2024) - [i73]Tassilo Wald, Constantin Ulrich, Gregor Köhler, David Zimmerer, Stefan Denner, Michael Baumgartner, Fabian Isensee, Priyank Jaini, Klaus H. Maier-Hein:
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. CoRR abs/2410.23107 (2024) - [i72]Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko, Andrei Goncharov, Alberto Paderno, Leander Maerkisch, Paul F. Jäger, Klaus H. Maier-Hein:
Revisiting MAE pre-training for 3D medical image segmentation. CoRR abs/2410.23132 (2024) - [i71]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR abs/2411.03670 (2024) - [i70]Constantin Ulrich, Tassilo Wald, Emily Tempus, Maximilian Rokuss, Paul F. Jaeger, Klaus H. Maier-Hein:
RadioActive: 3D Radiological Interactive Segmentation Benchmark. CoRR abs/2411.07885 (2024) - [i69]Fabian Isensee, Yannick Kirchhoff, Lars Krämer, Maximilian Rokuss, Constantin Ulrich, Klaus H. Maier-Hein:
Scaling nnU-Net for CBCT Segmentation. CoRR abs/2411.17213 (2024) - [i68]Kim-Celine Kahl, Selen Erkan, Jeremias Traub, Carsten T. Lüth, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger:
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks. CoRR abs/2411.19688 (2024) - [i67]Maximilian Fischer, Peter Neher, Peter J. Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus H. Maier-Hein:
Unlocking the Potential of Digital Pathology: Novel Baselines for Compression. CoRR abs/2412.13137 (2024) - [i66]Maximilian Fischer, Florian M. Hauptmann, Robin Peretzke, Paul Naser, Peter Neher, Jan-Oliver Neumann, Klaus H. Maier-Hein:
Precision ICU Resource Planning: A Multimodal Model for Brain Surgery Outcomes. CoRR abs/2412.15818 (2024) - [i65]Tassilo Wald, Constantin Ulrich, Jonathan Suprijadi, Michal Nohel, Robin Peretzke, Klaus H. Maier-Hein:
An OpenMind for 3D medical vision self-supervised learning. CoRR abs/2412.17041 (2024) - 2023
- [j39]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [c105]Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Leonardo Ayala, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: C-arm Positioning for Standard Projections During Spinal Implant Placement. Bildverarbeitung für die Medizin 2023: 10 - [c104]Fabian Isensee, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein:
Extending nnU-Net Is All You Need. Bildverarbeitung für die Medizin 2023: 12-17 - [c103]Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein:
Abstract: Towards Real-world Federated Learning in Medical Image Analysis using Kaapana. Bildverarbeitung für die Medizin 2023: 140 - [c102]Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein:
Taming Detection Transformers for Medical Object Detection. Bildverarbeitung für die Medizin 2023: 183-188 - [c101]Irada Pflüger, Tassilo Wald, Fabian Isensee, Marianne Schell, Hagen Meredig, Kai Schlamp, Denise Bernhardt, Gianluca Brugnara, Claus Peter Heußel, Juergen Debus, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein, Philipp Vollmuth:
Abstract: Automated Detection and Quantification of Brain Metastases on Clinical MRI Data using CNNs. Bildverarbeitung für die Medizin 2023: 196 - [c100]Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter J. Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models. Bildverarbeitung für die Medizin 2023: 245 - [c99]Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
Contrastive Representations for Unsupervised Anomaly Detection and Localization. Bildverarbeitung für die Medizin 2023: 246-252 - [c98]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c97]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c96]Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein:
cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations. MICCAI (5) 2023: 33-43 - [c95]Stefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch, Markus Bujotzek, Andreas Michael Bucher, Tobias Penzkofer, Klaus H. Maier-Hein:
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications. DEMI@MICCAI 2023: 46-55 - [c94]Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heussel, Tobias Norajitra:
RPTK: The Role of Feature Computation on Prediction Performance. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 113-122 - [c93]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning. MICCAI (8) 2023: 237-246 - [c92]Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. MICCAI (4) 2023: 405-415 - [c91]Lisa Kausch, Sarina Thomas, Holger Kunze, Jan Siad El Barbari, Klaus H. Maier-Hein:
Shape-Based Pose Estimation for Automatic Standard Views of the Knee. MICCAI (7) 2023: 476-486 - [c90]Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jäger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Goertz, Viktoria Schuetz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein:
Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection. MICCAI (7) 2023: 531-540 - [c89]Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
MultiTalent: A Multi-dataset Approach to Medical Image Segmentation. MICCAI (3) 2023: 648-658 - [c88]Maximilian Fischer, Peter Neher, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. MLMI@MICCAI (2) 2023: 427-436 - [e7]Thomas M. Deserno, Heinz Handels, Andreas K. Maier, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2023 - Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023. Informatik Aktuell, Springer 2023, ISBN 978-3-658-41656-0 [contents] - [i64]Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein:
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization. CoRR abs/2301.02126 (2023) - [i63]Karol Gotkowski, Shuvam Gupta, Jose R. A. Godinho, Camila G. S. Tochtrop, Klaus H. Maier-Hein, Fabian Isensee:
[Work in progress] Scalable, out-of-the box segmentation of individual particles from mineral samples acquired with micro CT. CoRR abs/2301.13319 (2023) - [i62]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i61]Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein:
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation. CoRR abs/2303.09975 (2023) - [i60]Michael Baumgartner, Peter M. Full, Klaus H. Maier-Hein:
Accurate Detection of Mediastinal Lesions with nnDetection. CoRR abs/2303.11214 (2023) - [i59]Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation. CoRR abs/2303.14444 (2023) - [i58]Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein:
Transformer Utilization in Medical Image Segmentation Networks. CoRR abs/2304.04225 (2023) - [i57]Saikat Roy, Tassilo Wald, Gregor Köhler, Maximilian Rokuss, Nico Disch, Julius C. Holzschuh, David Zimmerer, Klaus H. Maier-Hein:
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model. CoRR abs/2304.05396 (2023) - [i56]Lisa Kausch, Sarina Thomas, Holger Kunze, Jan Siad El Barbari, Klaus H. Maier-Hein:
Shape-based pose estimation for automatic standard views of the knee. CoRR abs/2305.16717 (2023) - [i55]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
atTRACTive: Semi-automatic white matter tract segmentation using active learning. CoRR abs/2305.18905 (2023) - [i54]Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein:
Taming Detection Transformers for Medical Object Detection. CoRR abs/2306.15472 (2023) - [i53]Tassilo Wald, Constantin Ulrich, Fabian Isensee, David Zimmerer, Gregor Köhler, Michael Baumgartner, Klaus H. Maier-Hein:
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency. CoRR abs/2307.02516 (2023) - [i52]Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jaeger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein:
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations. CoRR abs/2307.07254 (2023) - [i51]Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jaeger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Goertz, Viktoria Schuetz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein:
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. CoRR abs/2309.03652 (2023) - [i50]Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein:
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. CoRR abs/2309.07513 (2023) - [i49]Fabian Isensee, Klaus H. Maier-Hein:
Look Ma, no code: fine tuning nnU-Net for the AutoPET II challenge by only adjusting its JSON plans. CoRR abs/2309.13747 (2023) - [i48]Stefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch, Markus Bujotzek, Andreas Michael Bucher, Tobias Penzkofer, Klaus H. Maier-Hein:
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications. CoRR abs/2309.17285 (2023) - [i47]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. CoRR abs/2312.09576 (2023) - 2022
- [j38]Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Leonardo Ayala, Jan Siad El Barbari, Eric Mandelka, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
C-arm positioning for standard projections during spinal implant placement. Medical Image Anal. 81: 102557 (2022) - [j37]Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru:
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82: 102605 (2022) - [j36]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [c87]David Zimmerer, Daniel Paech, Carsten T. Lüth, Jens Petersen, Gregor Köhler, Klaus H. Maier-Hein:
Unsupervised Anomaly Detection in the Wild. Bildverarbeitung für die Medizin 2022: 26-31 - [c86]Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein:
Abstract: nnDetection - A Self-configuring Method for Medical Object Detection. Bildverarbeitung für die Medizin 2022: 50 - [c85]Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: C-arm Positioning for Spinal Standard Projections in Different Intra-operative Settings. Bildverarbeitung für die Medizin 2022: 127 - [c84]Maximilian Fischer, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter J. Schüffler, Jens Kleesiek, Jonas Scherer, Klaus Kades, Klaus H. Maier-Hein, Marco Nolden:
DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform. Bildverarbeitung für die Medizin 2022: 273-278 - [c83]Klaus Kades, Jonas Scherer, Jan Scholtyssek, Tobias Penzkofer, Marco Nolden, Klaus H. Maier-Hein:
Efficient DICOM Image Tagging and Cohort Curation Within Kaapana. Bildverarbeitung für die Medizin 2022: 279-284 - [c82]Maximilian Zenk, David Zimmerer, Fabian Isensee, Paul F. Jäger, Jakob Wasserthal, Klaus H. Maier-Hein:
Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks. Bildverarbeitung für die Medizin 2022: 291-296 - [c81]Constantin Marc Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. BMVC 2022: 58 - [c80]Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter J. Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. MOVI@MICCAI 2022: 73-83 - [c79]Michael Baumgartner, Peter M. Full, Klaus H. Maier-Hein:
Accurate Detection of Mediastinal Lesions with nnDetection. CuRIOUS/KiPA/MELA@MICCAI 2022: 79-85 - [c78]Gregor Köhler, Fabian Isensee, Klaus H. Maier-Hein:
A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation. FLARE@MICCAI 2022: 128-138 - [c77]Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein:
Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana. DeCaF/FAIR@MICCAI 2022: 130-140 - [e6]Klaus H. Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022. Informatik Aktuell, Springer 2022, ISBN 978-3-658-36931-6 [contents] - [i46]Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah J. Sheller, Hans Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus H. Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier E. Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew E. Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, et al.:
Federated Learning Enables Big Data for Rare Cancer Boundary Detection. CoRR abs/2204.10836 (2022) - [i45]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i44]Fabian Isensee, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein:
Extending nnU-Net is all you need. CoRR abs/2208.10791 (2022) - [i43]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. CoRR abs/2210.03416 (2022) - [i42]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [j35]Sarina Thomas, Lisa Kausch, Holger Kunze, Maxim Privalov, André Klein, Jan Siad El Barbari, Celia Martín Vicario, Jochen Franke, Klaus H. Maier-Hein:
Computer-assisted contralateral side comparison of the ankle joint using flat panel technology. Int. J. Comput. Assist. Radiol. Surg. 16(5): 767-777 (2021) - [j34]Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Yves Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Correction to: Toward automatic C‑arm positioning for standard projections in orthopedic surgery. Int. J. Comput. Assist. Radiol. Surg. 16(9): 1637 (2021) - [j33]Andreas K. Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
IJCARS: BVM 2021 special issue. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2067-2068 (2021) - [j32]Bjoern H. Menze, Fabian Isensee, Roland Wiest, Benedikt Wiestler, Klaus H. Maier-Hein, Mauricio Reyes, Spyridon Bakas:
Analyzing magnetic resonance imaging data from glioma patients using deep learning. Comput. Medical Imaging Graph. 88: 101828 (2021) - [j31]Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Christopher J. Weight:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Anal. 67: 101821 (2021) - [j30]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - [j29]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein:
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. 70: 101920 (2021) - [j28]Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf:
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage 238: 118216 (2021) - [j27]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [c76]Jonas Scherer, Marco Nolden, Jens Kleesiek, Jasmin Metzger, Klaus Kades, Verena Schneider, Hanno Gao, Peter Neher, Ralf Floca, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Abstract: Joint Imaging Platform for Federated Clinical Data Analytics. Bildverarbeitung für die Medizin 2021: 127 - [c75]Michael Götz, Klaus H. Maier-Hein:
Abstract: Data Augmentation for Information Transfer - Why Controlling for Confounding Effects in Radiomic Studies is Important and How to do it. Bildverarbeitung für die Medizin 2021: 140 - [c74]Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Yves Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: Towards Automatic C-arm Positioning for Standard Projections in Orthopedic Surgery. Bildverarbeitung für die Medizin 2021: 171 - [c73]Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
Abstract: Studying Robustness of Semantic Segmentation under Domain Shift in Cardiac MRI. Bildverarbeitung für die Medizin 2021: 269 - [c72]Jens Petersen, Fabian Isensee, Gregor Köhler, Paul F. Jäger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Vollmuth, Klaus H. Maier-Hein:
Continuous-Time Deep Glioma Growth Models. MICCAI (3) 2021: 83-92 - [c71]Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
C-Arm Positioning for Spinal Standard Projections in Different Intra-operative Settings. MICCAI (4) 2021: 352-362 - [c70]Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein:
nnDetection: A Self-configuring Method for Medical Object Detection. MICCAI (5) 2021: 530-539 - [c69]Lisa Kausch, Moritz Scherer, Sarina Thomas, André Klein, Fabian Isensee, Klaus H. Maier-Hein:
Automatic image-based pedicle screw planning. Image-Guided Procedures 2021 - [c68]Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data. UAI 2021: 939-949 - [e5]Christoph Palm, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Informatik Aktuell, Springer 2021, ISBN 978-3-658-33197-9 [contents] - [i41]Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein:
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i40]Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas:
The Federated Tumor Segmentation (FeTS) Challenge. CoRR abs/2105.05874 (2021) - [i39]Michael Baumgartner, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
nnDetection: A Self-configuring Method for Medical Object Detection. CoRR abs/2106.00817 (2021) - [i38]Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data. CoRR abs/2106.04967 (2021) - [i37]Jens Petersen, Fabian Isensee, Gregor Köhler, Paul F. Jäger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Vollmuth, Klaus H. Maier-Hein:
Continuous-Time Deep Glioma Growth Models. CoRR abs/2106.12917 (2021) - 2020
- [j26]Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Yves Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Toward automatic C-arm positioning for standard projections in orthopedic surgery. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1095-1105 (2020) - [j25]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The future of digital health with federated learning. npj Digit. Medicine 3 (2020) - [c67]Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden, Ralf Floca:
Abstract: MITK-ModelFit. Bildverarbeitung für die Medizin 2020: 81 - [c66]David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders. Bildverarbeitung für die Medizin 2020: 199 - [c65]Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein:
Abstract: Deep Probabilistic Modeling of Glioma Growth. Bildverarbeitung für die Medizin 2020: 215 - [c64]Fabian Isensee, Paul F. Jäger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein:
nnU-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 118-132 - [c63]Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI 2020: 238-249 - [e4]Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas K. Maier, Klaus H. Maier-Hein, Christoph Palm:
Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2020 in Berlin. Informatik Aktuell, Springer 2020, ISBN 978-3-658-29266-9 [contents] - [i36]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - [i35]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The Future of Digital Health with Federated Learning. CoRR abs/2003.08119 (2020) - [i34]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. CoRR abs/2003.10299 (2020) - [i33]Fabian Isensee, Klaus H. Maier-Hein:
OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images. CoRR abs/2004.12668 (2020) - [i32]Fabian Isensee, Paul F. Jaeger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein:
nnU-Net for Brain Tumor Segmentation. CoRR abs/2011.00848 (2020) - [i31]Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI. CoRR abs/2011.07592 (2020) - [i30]Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus H. Maier-Hein, Ullrich Köthe, Carsten Rother, Lena Maier-Hein:
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks. CoRR abs/2012.08195 (2020)
2010 – 2019
- 2019
- [j24]Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden:
MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI. BMC Bioinform. 20(1): 31:1-31:18 (2019) - [j23]Andreas K. Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Guest editorial of the IJCARS - BVM 2018 special issue. Int. J. Comput. Assist. Radiol. Surg. 14(1): 1-2 (2019) - [j22]André Klein, Jan Warszawski, Jens Hillengaß, Klaus H. Maier-Hein:
Automatic bone segmentation in whole-body CT images. Int. J. Comput. Assist. Radiol. Surg. 14(1): 21-29 (2019) - [j21]Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
IJCARS: BVM 2019 special issue. Int. J. Comput. Assist. Radiol. Surg. 14(11): 1823-1824 (2019) - [j20]Sarina Thomas, Fabian Isensee, Simon Kohl, Maxim Privalov, Nils Beisemann, Benedict Swartman, Holger Keil, Sven Yves Vetter, Jochen Franke, Paul Alfred Grützner, Lena Maier-Hein, Marco Nolden, Klaus H. Maier-Hein:
Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2211-2220 (2019) - [j19]Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein:
Combined tract segmentation and orientation mapping for bundle-specific tractography. Medical Image Anal. 58 (2019) - [j18]Francois Rheault, Etienne St-Onge, Jasmeen Sidhu, Klaus H. Maier-Hein, Nathalie Tzourio-Mazoyer, Laurent Petit, Maxime Descoteaux:
Bundle-specific tractography with incorporated anatomical and orientational priors. NeuroImage 186: 382-398 (2019) - [c62]Peter F. Neher, Bram Stieltjes, Klaus H. Maier-Hein:
Abstract: Anchor-Constrained Plausibility - A Novel Concept for Assessing Tractography and Reducing False-Positives. Bildverarbeitung für die Medizin 2019: 1 - [c61]Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein:
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. Bildverarbeitung für die Medizin 2019: 22 - [c60]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Abstract: Tract Orientation Mapping for Bundle-Specific Tractography. Bildverarbeitung für die Medizin 2019: 30 - [c59]Tobias Stein, Jasmin Metzger, Jonas Scherer, Fabian Isensee, Tobias Norajitra, Jens Kleesiek, Klaus H. Maier-Hein, Marco Nolden:
Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images. Bildverarbeitung für die Medizin 2019: 158-163 - [c58]Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein:
Reg R-CNN: Lesion Detection and Grading Under Noisy Labels. UNSURE/CLIP@MICCAI 2019: 33-41 - [c57]David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Unsupervised Anomaly Localization Using Variational Auto-Encoders. MICCAI (4) 2019: 289-297 - [c56]Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein:
Deep Probabilistic Modeling of Glioma Growth. MICCAI (2) 2019: 806-814 - [c55]Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. ML4H@NeurIPS 2019: 171-183 - [e3]Heinz Handels, Thomas M. Deserno, Andreas K. Maier, Klaus Hermann Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck. Informatik Aktuell, Springer Vieweg 2019, ISBN 978-3-658-25325-7 [contents] - [d2]Peter F. Neher, Klaus H. Maier-Hein:
Simulated dMRI images and ground truth of random fiber phantoms in various configurations. Zenodo, 2019
- [i29]Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein:
Combined tract segmentation and orientation mapping for bundle-specific tractography. CoRR abs/1901.10271 (2019) - [i28]Fabian Isensee, Marianne Schell, Irada Tursunova, Gianluca Brugnara, David Bonekamp, Ulf Neuberger, Antje Wick, Heinz-Peter Schlemmer, Sabine Heiland, Wolfgang Wick, Martin Bendszus, Klaus Hermann Maier-Hein, Philipp Kickingereder:
Automated brain extraction of multi-sequence MRI using artificial neural networks. CoRR abs/1901.11341 (2019) - [i27]Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. Maier-Hein:
nnU-Net: Breaking the Spell on Successful Medical Image Segmentation. CoRR abs/1904.08128 (2019) - [i26]Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger:
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. CoRR abs/1905.13077 (2019) - [i25]David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Unsupervised Anomaly Localization using Variational Auto-Encoders. CoRR abs/1907.02796 (2019) - [i24]Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein:
Deep Probabilistic Modeling of Glioma Growth. CoRR abs/1907.04064 (2019) - [i23]Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein:
Reg R-CNN: Lesion Detection and Grading under Noisy Labels. CoRR abs/1907.12915 (2019) - [i22]Fabian Isensee, Klaus H. Maier-Hein:
An attempt at beating the 3D U-Net. CoRR abs/1908.02182 (2019) - [i21]David Zimmerer, Jens Petersen, Klaus H. Maier-Hein:
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection. CoRR abs/1911.12161 (2019) - [i20]Ahmed Hosny, Michael Schwier, Christoph Berger, Evin Pinar Örnek, Mehmet Turan, Phi V. Tran, Leon Weninger, Fabian Isensee, Klaus H. Maier-Hein, Richard McKinley, Michael T. Lu, Udo Hoffmann, Bjoern H. Menze, Spyridon Bakas, Andriy Fedorov, Hugo J. W. L. Aerts:
ModelHub.AI: Dissemination Platform for Deep Learning Models. CoRR abs/1911.13218 (2019) - [i19]David Zimmerer, Jens Petersen, Simon A. A. Kohl, Klaus H. Maier-Hein:
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients. CoRR abs/1912.00003 (2019) - [i18]Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zachary Edgerton, Ranveer Vasdev, Matthew Peterson, Seán McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher J. Weight, Nikolaos Papanikolopoulos:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. CoRR abs/1912.01054 (2019) - 2018
- [j17]Tobias Roß, David Zimmerer, Anant Suraj Vemuri, Fabian Isensee, Manuel Wiesenfarth, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Annette Kopp-Schneider, Klaus H. Maier-Hein, Lena Maier-Hein:
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. Int. J. Comput. Assist. Radiol. Surg. 13(6): 925-933 (2018) - [j16]Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein:
TractSeg - Fast and accurate white matter tract segmentation. NeuroImage 183: 239-253 (2018) - [j15]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [c54]Paul Jäger, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, Klaus Hermann Maier-Hein:
Advanced Deep Learning Methods. Bildverarbeitung für die Medizin 2018: 6 - [c53]Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Marco Nolden, Caspar J. Goch, Klaus Hermann Maier-Hein:
Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing. Bildverarbeitung für die Medizin 2018: 22 - [c52]Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer, Klaus Hermann Maier-Hein, Daniel S. Elson, Lena Maier-Hein:
Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed. Bildverarbeitung für die Medizin 2018: 36 - [c51]Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus Hermann Maier-Hein:
Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. Bildverarbeitung für die Medizin 2018: 73 - [c50]Dominik Waibel, Janek Gröhl, Fabian Isensee, Klaus Hermann Maier-Hein, Lena Maier-Hein:
Abstract: Rekonstruktion der initialen Druckverteilung photoakustischer Bilder mit limitiertem Blickwinkel durch maschinelle Lernverfahren. Bildverarbeitung für die Medizin 2018: 201 - [c49]André Klein, Jan Warszawski, Jens Hillengaß, Klaus Hermann Maier-Hein:
Towards Whole-body CT Bone Segmentation. Bildverarbeitung für die Medizin 2018: 204-209 - [c48]Caspar J. Goch, Jasmin Metzger, Martin Hettich, André Klein, Tobias Norajitra, Michael Götz, Jens Petersen, Klaus H. Maier-Hein, Marco Nolden:
Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data. Bildverarbeitung für die Medizin 2018: 315 - [c47]Peter F. Neher, Bram Stieltjes, Klaus H. Maier-Hein:
Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives. MICCAI (3) 2018: 20-27 - [c46]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Tract Orientation Mapping for Bundle-Specific Tractography. MICCAI (3) 2018: 36-44 - [c45]Jennifer Kamphenkel, Paul F. Jäger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Stefan Delorme, Heinz-Peter Schlemmer, Franziska König, Klaus H. Maier-Hein:
Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images. RAMBO+BIA+TIA@MICCAI 2018: 73-80 - [c44]Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
No New-Net. BrainLes@MICCAI (2) 2018: 234-244 - [c43]Simon Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger:
A Probabilistic U-Net for Segmentation of Ambiguous Images. NeurIPS 2018: 6965-6975 - [e2]Andreas K. Maier, Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen. Informatik Aktuell, Springer Vieweg 2018, ISBN 978-3-662-56536-0 [contents] - [i17]Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. CoRR abs/1802.10508 (2018) - [i16]André Klein, Jan Warszawski, Jens Hillengaß, Klaus H. Maier-Hein:
Towards whole-body CT Bone Segmentation. CoRR abs/1804.00908 (2018) - [i15]Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein:
TractSeg - Fast and accurate white matter tract segmentation. CoRR abs/1805.07103 (2018) - [i14]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i13]Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger:
A Probabilistic U-Net for Segmentation of Ambiguous Images. CoRR abs/1806.05034 (2018) - [i12]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Tract orientation mapping for bundle-specific tractography. CoRR abs/1806.05580 (2018) - [i11]Jennifer Kamphenkel, Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Koenig, Klaus H. Maier-Hein:
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images. CoRR abs/1807.06277 (2018) - [i10]Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
No New-Net. CoRR abs/1809.10483 (2018) - [i9]Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein:
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. CoRR abs/1809.10486 (2018) - [i8]Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. CoRR abs/1811.08661 (2018) - [i7]David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein:
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. CoRR abs/1812.05941 (2018) - 2017
- [j14]Franciszek Binczyk, Bram Stjelties, Christian Weber, Michael Götz, Klaus H. Maier-Hein, Hans-Peter Meinzer, Barbara Bobek-Billewicz, Rafal Tarnawski, Joanna Polanska:
MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps. Inf. Sci. 384: 235-248 (2017) - [j13]Peter F. Neher, Marc-Alexandre Côté, Jean-Christophe Houde, Maxime Descoteaux, Klaus H. Maier-Hein:
Fiber tractography using machine learning. NeuroImage 158: 417-429 (2017) - [j12]Tobias Norajitra, Klaus H. Maier-Hein:
3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark Detection. IEEE Trans. Medical Imaging 36(1): 155-168 (2017) - [c42]Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter Neher, Klaus H. Maier-Hein:
Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis. Bildverarbeitung für die Medizin 2017: 6-7 - [c41]Fabian Isensee, Philipp Kickingereder, David Bonekamp, Martin Bendszus, Wolfgang Wick, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Brain Tumor Segmentation Using Large Receptive Field Deep Convolutional Neural Networks. Bildverarbeitung für die Medizin 2017: 86-91 - [c40]Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Klaus H. Maier-Hein:
Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI. Bildverarbeitung für die Medizin 2017: 231-236 - [c39]Michael Götz, Klaus H. Maier-Hein:
Training mit positiven und unannotierten Daten für automatische Voxelklassifikation. Bildverarbeitung für die Medizin 2017: 237-242 - [c38]Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein:
Effective user guidance in online interactive semantic segmentation. Computer-Aided Diagnosis 2017: 101341V - [c37]Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein:
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. STACOM@MICCAI 2017: 120-129 - [c36]Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer, Klaus H. Maier-Hein, Daniel S. Elson, Lena Maier-Hein:
Physiological Parameter Estimation from Multispectral Images Unleashed. MICCAI (3) 2017: 134-141 - [c35]Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. BrainLes@MICCAI 2017: 287-297 - [c34]Philippe Poulin, Marc-Alexandre Côté, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, Maxime Descoteaux:
Learn to Track: Deep Learning for Tractography. MICCAI (1) 2017: 540-547 - [c33]Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein:
Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. MICCAI (1) 2017: 664-671 - [e1]Klaus Hermann Maier-Hein, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 12. bis 14. März 2017 in Heidelberg. Informatik Aktuell, Springer 2017, ISBN 978-3-662-54344-3 [contents] - [d1]Peter F. Neher, Jean-Christophe Houde, Maxime Descoteaux, Klaus H. Maier-Hein:
Tractography Challenge ISMRM 2015 b=3000s/mm² Data. Zenodo, 2017 - [i6]Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus H. Maier-Hein:
Adversarial Networks for the Detection of Aggressive Prostate Cancer. CoRR abs/1702.08014 (2017) - [i5]Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein:
Revealing Hidden Potentials of q-Space Imaging in Breast Cancer. CoRR abs/1702.08379 (2017) - [i4]Jakob Wasserthal, Peter F. Neher, Fabian Isensee, Klaus H. Maier-Hein:
Direct White Matter Bundle Segmentation using Stacked U-Nets. CoRR abs/1703.02036 (2017) - [i3]Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein:
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. CoRR abs/1707.00587 (2017) - [i2]Tobias Roß, David Zimmerer, Anant Suraj Vemuri, Fabian Isensee, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein, Lena Maier-Hein:
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. CoRR abs/1711.09726 (2017) - [i1]Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus H. Maier-Hein:
Adversarial Networks for Prostate Cancer Detection. CoRR abs/1711.10400 (2017) - 2016
- [j11]Jens Kleesiek, Gregor Urban, Alexander Hubert, Daniel Schwarz, Klaus H. Maier-Hein, Martin Bendszus, Armin Biller:
Deep MRI brain extraction: A 3D convolutional neural network for skull stripping. NeuroImage 129: 460-469 (2016) - [j10]Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein:
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. IEEE Trans. Medical Imaging 35(1): 184-196 (2016) - [j9]Jan Hering, Ivo Wolf, Klaus H. Maier-Hein:
Multi-Objective Memetic Search for Robust Motion and Distortion Correction in Diffusion MRI. IEEE Trans. Medical Imaging 35(10): 2280-2291 (2016) - [c32]Tobias Norajitra, Sandy Engelhardt, Thomas Held, Sameer Al-Maisary, Raffaele De Simone, Hans-Peter Meinzer, Klaus H. Maier-Hein:
Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung - Segmentierung per Abstimmung. Bildverarbeitung für die Medizin 2016: 56-61 - [c31]Michael Götz, Christoph Kolb, Christian Weber, Sebastian Regnery, Klaus H. Maier-Hein:
Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern. Bildverarbeitung für die Medizin 2016: 62-67 - [c30]Michael Götz, Stephan Skornitzke, Christian Weber, Franziska Fritz, Philipp Mayer, Marco Koell, Wolfram Stiller, Klaus H. Maier-Hein:
Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection. Computer-Aided Diagnosis 2016: 97851R - [c29]Lena Maier-Hein, Tobias Roß, Janek Gröhl, Ben Glocker, Sebastian Bodenstedt, Christian Stock, Eric Heim, Michael Götz, Sebastian J. Wirkert, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein:
Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence. MICCAI (2) 2016: 616-623 - [c28]Michael Götz, Eric Heim, Keno März, Tobias Norajitra, Mohammadreza Hafezi, Nassim Fard, Arianeb Mehrabi, Max Knoll, Christian Weber, Lena Maier-Hein, Klaus H. Maier-Hein:
A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data. Image Processing 2016: 97841I - 2015
- [j8]Peter F. Neher, Maxime Descoteaux, Jean-Christophe Houde, Bram Stieltjes, Klaus H. Maier-Hein:
Strengths and weaknesses of state of the art fiber tractography pipelines - A comprehensive in-vivo and phantom evaluation study using Tractometer. Medical Image Anal. 26(1): 287-305 (2015) - [c27]Jan Hering, Ivo Wolf, Tawfik Moher Alsady, Hans-Peter Meinzer, Klaus H. Maier-Hein:
A Memetic Search Scheme for Robust Registration of Diffusion-Weighted MR Images. Bildverarbeitung für die Medizin 2015: 113-118 - [c26]Patrick Philipp, Maria Maleshkova, Michael Götz, Christian Weber, Benedikt Kämpgen, Sascha Zelzer, Klaus H. Maier-Hein, Miriam Klauß, Achim Rettinger:
Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien. Bildverarbeitung für die Medizin 2015: 263-268 - [c25]Christian Weber, Michael Götz, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Überwachtes Lernen zur Prädiktion von Tumorwachstum. Bildverarbeitung für die Medizin 2015: 473-478 - [c24]Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis. Bildverarbeitung für die Medizin 2015: 486-491 - [c23]Eric Heim, Tobias Roß, Tobias Norajitra, Marco Nolden, Keno März, Daniel Kondermann, Stefanie Speidel, Klaus H. Maier-Hein, Lena Maier-Hein:
Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen. CURAC 2015: 37-42 - [c22]Tobias Norajitra, Hans-Peter Meinzer, Klaus H. Maier-Hein:
3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation. Computer-Aided Diagnosis 2015: 941406 - [c21]Peter F. Neher, Michael Götz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein:
A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. MICCAI (1) 2015: 45-52 - [c20]Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein:
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. Brainles@MICCAI 2015: 284-295 - 2014
- [j7]Caspar J. Goch, Bram Stieltjes, Romy Henze, Jan Hering, Luise Poustka, Hans-Peter Meinzer, Klaus H. Maier-Hein:
Quantification of changes in language-related brain areas in autism spectrum disorders using large-scale network analysis. Int. J. Comput. Assist. Radiol. Surg. 9(3): 357-365 (2014) - [j6]Michael Bach, Frederik B. Laun, Alexander Leemans, Chantal M. W. Tax, Geert Jan Biessels, Bram Stieltjes, Klaus H. Maier-Hein:
Methodological considerations on tract-based spatial statistics (TBSS). NeuroImage 100: 358-369 (2014) - [c19]Jan Hering, Peter F. Neher, Hans-Peter Meinzer, Klaus H. Maier-Hein:
Erzeugung von Referenzdaten für Kopfbewegungskorrektur in Diffusion-MRI. Bildverarbeitung für die Medizin 2014: 342-347 - [c18]Tobias Norajitra, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Active shape models incorporating isolated landmarks for medical image annotation. Computer-Aided Diagnosis 2014: 90353J - [c17]Philipp Gemmeke, Maria Maleshkova, Patrick Philipp, Michael Götz, Christian Weber, Benedikt Kämpgen, Marco Nolden, Klaus H. Maier-Hein, Achim Rettinger:
Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images. COLD 2014 - [p1]Ofer Pasternak, Klaus H. Maier-Hein, Christian F. Baumgartner, Martha Elizabeth Shenton, Yogesh Rathi, Carl-Fredrik Westin:
The Estimation of Free-Water Corrected Diffusion Tensors. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data 2014: 249-270 - 2013
- [j5]Marco Nolden, Sascha Zelzer, Alexander Seitel, Diana Wald, Michael Müller, Alfred M. Franz, Daniel Maleike, Markus Fangerau, Matthias Baumhauer, Lena Maier-Hein, Klaus H. Maier-Hein, Hans-Peter Meinzer, Ivo Wolf:
The Medical Imaging Interaction Toolkit: challenges and advances. Int. J. Comput. Assist. Radiol. Surg. 8(4): 607-620 (2013) - [c16]Caspar J. Goch, Bram Stieltjes, Romy Henze, Jan Hering, Hans-Peter Meinzer, Klaus H. Fritzsche:
Quantification of Changes in Language-Related Brain Areas in Autism Spectrum Disorders Using Large-Scale Network Analysis. Bildverarbeitung für die Medizin 2013: 51-56 - [c15]Alexandra Tobisch, Peter F. Neher, Matthew C. Rowe, Klaus H. Maier-Hein, Hui Zhang:
Model-Based Super-Resolution of Diffusion MRI. CDMRI/MMBC@MICCAI 2013: 25-34 - [c14]Jan Hering, Ivo Wolf, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging. CDMRI/MMBC@MICCAI 2013: 35-44 - [c13]Peter F. Neher, Frederik B. Laun, Bram Stieltjes, Klaus H. Maier-Hein:
Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms. CDMRI/MMBC@MICCAI 2013: 105-113 - [c12]Caspar J. Goch, Basak Oztan, Bram Stieltjes, Romy Henze, Jan Hering, Luise Poustka, Hans-Peter Meinzer, Bülent Yener, Klaus H. Maier-Hein:
Global Changes in the Connectome in Autism Spectrum Disorders. CDMRI/MMBC@MICCAI 2013: 239-247 - 2012
- [c11]Peter F. Neher, Bram Stieltjes, Marco Reisert, Ignaz Reicht, Hans-Peter Meinzer, Klaus H. Fritzsche:
Integration eines globalen Traktographieverfahrens in das Medical Imaging Interaction Toolkit. Bildverarbeitung für die Medizin 2012: 177-182 - [c10]Peter F. Neher, Bram Stieltjes, Marco Reisert, Ignaz Reicht, Hans-Peter Meinzer, Klaus H. Fritzsche:
MITK global tractography. Image Processing 2012: 83144D - 2011
- [c9]Thomas van Bruggen, Bram Stieltjes, Hans-Peter Meinzer, Klaus H. Fritzsche:
Tract-Based Spatial Statistics of the Corpus Callosum using Different Tensor-Derived Indices. Bildverarbeitung für die Medizin 2011: 244-248 - 2010
- [j4]Klaus H. Fritzsche, Bram Stieltjes, Sarah Schlindwein, Thomas van Bruggen, Marco Essig, Hans-Peter Meinzer:
Automated MR morphometry to predict Alzheimer's disease in mild cognitive impairment. Int. J. Comput. Assist. Radiol. Surg. 5(6): 623-632 (2010) - [j3]Daniel Stein, Klaus H. Fritzsche, Marco Nolden, Hans-Peter Meinzer, Ivo Wolf:
The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK). Comput. Methods Programs Biomed. 100(1): 79-86 (2010) - [j2]Klaus H. Fritzsche, Frederik B. Laun, Hans-Peter Meinzer, Bram Stieltjes:
Opportunities and pitfalls in the quantification of fiber integrity: What can we gain from Q-ball imaging? NeuroImage 51(1): 242-251 (2010) - [c8]Klaus H. Fritzsche, Hans-Peter Meinzer:
MITK-DI. Bildverarbeitung für die Medizin 2010: 246-250 - [c7]Matthias Baumhauer, Jochen Neuhaus, Klaus H. Fritzsche, Hans-Peter Meinzer:
The MITK image guided therapy toolkit and its application for augmented reality in laparoscopic prostate surgery. Image-Guided Procedures 2010: 76251G - [c6]Klaus H. Fritzsche, Frederik B. Laun, Bram Stieltjes, Hans-Peter Meinzer:
Directional assessment of fiber integrity in Q-ball imaging. Image Processing 2010: 76231G
2000 – 2009
- 2009
- [c5]Klaus H. Fritzsche, Sarah Schlindwein, Bram Stieltjes, Marco Essig, Hans-Peter Meinzer:
Vorhersage des Krankheitsverlaufes von leichten kognitiven Beeinträchtigungen durch automatisierte MRT Morphometrie. Bildverarbeitung für die Medizin 2009: 217-221 - 2008
- [j1]Klaus H. Fritzsche, Aldo von Wangenheim, Daniel Duarte Abdala, Hans-Peter Meinzer:
A computational method for the estimation of atrophic changes in Alzheimer's disease and mild cognitive impairment. Comput. Medical Imaging Graph. 32(4): 294-303 (2008) - [c4]Klaus H. Fritzsche, Frederik L. Giesel, Philipp A. Thomann, Horst K. Hahn, Marco Essig, Hans-Peter Meinzer:
Quantifizierung neurodegenerativer Veränderungen bei der Alzheimer Krankheit. Bildverarbeitung für die Medizin 2008: 363-367 - [c3]Klaus H. Fritzsche, Frederik L. Giesel, Tobias Heimann, Philipp A. Thomann, Horst K. Hahn, Johannes Pantel, Johannes Schröder, Marco Essig, Hans-Peter Meinzer:
Neurodegenerative changes in Alzheimer's disease: a comparative study of manual, semi-automated, and fully automated assessment using MRI. Computer-Aided Diagnosis 2008: 69151V - [c2]Stefan Dänzer, Klaus H. Fritzsche:
A simulator for surgery training: optimal sensory stimuli in a bone pinning simulation. Image-Guided Procedures 2008: 69181O - 2006
- [c1]Klaus H. Fritzsche, Aldo von Wangenheim, Rüdiger Dillmann, Roland Unterhinninghofen:
Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer's Disease. CBMS 2006: 191-196
Coauthor Index
[j60] [j57] [j53] [c165] [c162] [c160] [j51] [j49] [c153] [c138] [i124] [i123] [i120] [i115] [i106] [c135] [c134] [c133] [c131] [c126] [c111] [c110] [c109] [c108] [c107] [i90] [i88] [i82] [i73] [i71] [i67] [c102] [c92] [c90] [c89] [i62] [i61] [i60] [i59] [i58] [i54] [i53] [i51] [c86] [c79] [i45] [i42] [j28] [c70] [i39]
Markus Bujotzek
aka: Markus R. Bujotzek
aka: Markus R. Bujotzek
Jürgen Debus
aka: Juergen Debus
aka: Juergen Debus
Thomas M. Deserno
aka: Thomas Martin Deserno
aka: Thomas Martin Deserno
[j58] [j57] [j56] [j55] [j54] [j53] [c158] [i142] [i136] [i135] [i134] [j47] [j41] [c153] [c150] [c147] [c139] [i126] [i123] [i122] [i120] [i119] [i118] [i117] [i116] [i110] [i107] [i103] [i102] [i98] [c134] [c133] [c131] [c127] [c123] [c121] [c119] [c117] [c116] [c112] [c111] [c110] [c109] [c107] [c106] [i92] [i91] [i90] [i88] [i84] [i77] [i76] [i74] [i73] [i71] [i69] [j39] [c104] [c101] [c99] [c98] [c97] [c92] [c90] [c89] [i64] [i63] [i62] [i61] [i59] [i58] [i53] [i51] [i50] [i49] [j37] [j36] [c86] [c82] [c78] [i45] [i44] [j32] [j31] [j30] [j29] [c73] [c72] [c70] [c69] [c68] [i41] [i39] [i38] [i37] [c66] [c65] [c64] [c63] [i36] [i34] [i33] [i32] [i31] [j20] [c61] [c59] [c57] [c56] [c55] [i28] [i27] [i25] [i24] [i22] [i20] [i18] [j17] [j15] [c54] [c50] [c44] [i17] [i10] [i9] [i8] [i7] [c42] [c41] [c37] [c35] [i4] [i3] [i2]
[j54] [i142] [j52] [j51] [j49] [j47] [j42] [j41] [c153] [c145] [c136] [i122] [i102] [c133] [c131] [c130] [c127] [c126] [c122] [c111] [c109] [c108] [c106] [i97] [i96] [i92] [i90] [i85] [i84] [i82] [i78] [i72] [i71] [i70] [i68] [j39] [c99] [c98] [c97] [c96] [c92] [c90] [i64] [i62] [i61] [i52] [i51] [i50] [j36] [c86] [c82] [i45] [i42] [j28] [c73] [c72] [c70] [c68] [i41] [i39] [i38] [i37] [c65] [c64] [c63] [i32] [i31] [c61] [c58] [c56] [c55] [i27] [i24] [i23] [j15] [c54] [c51] [c45] [i11] [i9] [i8] [c37] [c33] [i5] [i3]
Simon Kohl
aka: Simon A. A. Kohl
aka: Simon A. A. Kohl
Frederik B. Laun
aka: Frederik Bernd Laun
aka: Frederik Bernd Laun
Bjoern Menze
aka: Bjoern H. Menze
aka: Bjoern H. Menze
Peter Neher
aka: Peter F. Neher
aka: Peter F. Neher
[c166] [c165] [c163] [c161] [i143] [i140] [i132] [i131] [j51] [j50] [j49] [c152] [c151] [c146] [i116] [i101] [c128] [c126] [c125] [c115] [c113] [i87] [i83] [i67] [i66] [c100] [c93] [c88] [i55] [c80] [c76] [j19] [c62] [c60] [d2] [i29] [j16] [c47] [c46] [i15] [i14] [i12] [j13] [c42] [c34] [d1] [i4] [j8] [c21] [c19] [c15] [c13] [c11] [c10]
[j58] [j57] [c168] [c158] [c156] [c155] [c154] [i136] [i135] [i134] [i133] [i130] [i129] [i127] [j43] [c150] [c147] [c144] [i126] [i124] [i123] [i121] [i119] [i113] [i111] [i110] [i109] [i107] [i104] [i103] [i99] [c124] [c123] [c121] [c119] [c118] [c117] [c116] [c112] [c110] [c109] [i91] [i88] [i77] [i76] [i74] [i71] [i70] [i69] [i57]
Peter J. Schüffler
aka: Peter Schüffler
aka: Peter Schüffler
[j58] [j53] [c168] [c167] [c165] [c162] [c160] [c158] [c156] [c154] [i138] [i135] [i127] [j46] [c153] [c150] [c149] [c147] [c146] [c145] [c144] [c143] [c138] [i126] [i125] [i121] [i120] [i119] [i117] [i111] [i106] [i103] [i99] [i98] [c134] [c133] [c128] [c127] [c123] [c121] [c120] [c119] [c118] [c117] [c116] [c112] [c111] [c110] [c109] [c107] [c106] [i91] [i90] [i88] [i77] [i76] [i74] [i73] [i72] [i71] [i70] [i69] [i67] [i65] [c104] [c92] [c89] [c88] [i61] [i59] [i58] [i53] [i50] [i47] [i44]
Philipp Vollmuth
aka: Philipp Kickingereder
aka: Philipp Kickingereder
[j53] [c168] [c167] [c162] [c160] [c157] [c154] [i127] [c153] [c150] [c149] [c147] [c146] [c145] [c144] [c143] [c142] [c138] [i125] [i121] [i120] [i119] [i117] [i106] [i105] [i98] [c134] [c130] [c127] [c123] [c118] [c117] [c115] [c111] [c110] [c109] [c107] [c106] [i91] [i90] [i88] [i83] [i80] [i79] [i74] [i73] [i72] [i71] [i70] [i65] [c104] [c102] [c101] [c96] [c89] [i59] [i57] [i54] [i53] [i52] [i50] [i44]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-10-15 01:56 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
