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ORCIDJan Egger
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- affiliation: University Hospital Essen, Germany
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2020 – today
- 2024
[j33]Hanna Hoffmann
, Isabel Funke, Philipp Peters, Danush Kumar Venkatesh, Jan Egger, Dominik Rivoir, Rainer Röhrig, Frank Hölzle, Sebastian Bodenstedt, Marie-Christin Willemer, Stefanie Speidel, Behrus Puladi:
AIxSuture: vision-based assessment of open suturing skills. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1045-1052 (2024)- [j32]Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek:
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. Comput. Methods Programs Biomed. 243: 107912 (2024) - [j31]Jianning Li, Amin Dada, Behrus Puladi, Jens Kleesiek, Jan Egger:
ChatGPT in healthcare: A taxonomy and systematic review. Comput. Methods Programs Biomed. 245: 108013 (2024) - [j30]Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi:
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. Comput. Methods Programs Biomed. 252: 108215 (2024) - [j29]Lennart Johannes Gruber, Jan Egger, Andrea Bönsch, Joep Kraeima, Max Ulbrich, Vincent van den Bosch, Ila Motmaen, Caroline Wilpert, Mark Ooms, Peter Isfort, Frank Hölzle, Behrus Puladi:
Accuracy and Precision of Mandible Segmentation and Its Clinical Implications: Virtual Reality, Desktop Screen and Artificial Intelligence. Expert Syst. Appl. 239: 122275 (2024) - [j28]Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. J. Medical Syst. 48(1): 55 (2024) - [j27]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy. Medical Image Anal. 93: 103100 (2024) - [j26]Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek:
CellViT: Vision Transformers for precise cell segmentation and classification. Medical Image Anal. 94: 103143 (2024) - [j25]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. Medical Image Anal. 95: 103199 (2024) - [j24]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)]. Medical Image Anal. 96: 103174 (2024) - [c68]Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen:
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. 3DV 2024: 750-760 - [c67]Fabian Hörst, Sajad H. Schaheer, Giulia Baldini, Fin Hendrik Bahnsen, Jan Egger, Jens Kleesiek:
Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline. Bildverarbeitung für die Medizin 2024: 356-361 - [c66]Lukas Heine, Fabian Hörst, Enrico Nasca, Jens Siveke, Jan Egger, Moon S. Kim, Fin Hendrik Bahnsen, Jens Kleesiek:
Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting. HICSS 2024: 3235-3244 - [c65]André Ferreira, Gijs Luijten, Behrus Puladi, Jens Kleesiek, Victor Alves, Jan Egger:
Generalisation of Segmentation Using Generative Adversarial Networks. ISBI 2024: 1-4 - [c64]Timo Van Meegdenburg, Gijs Luijten, Jens Kleesiek, Behrus Puladi, André Ferreira, Jan Egger, Christina Gsaxner:
A Baseline Solution for the ISBI 2024 Dreaming Challenge. ISBI 2024: 1-3 - [c63]Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner:
Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery. ISBI 2024: 1-5 - [e5]Antonio Pepe, Gian Marco Melito, Jan Egger:
Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition - First Challenge, SEG.A. 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14539, Springer 2024, ISBN 978-3-031-53240-5 [contents] - [i83]Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi:
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. CoRR abs/2401.15638 (2024) - [i82]Ana Carolina Alves, André Ferreira, Gijs Luijten, Jens Kleesiek, Behrus Puladi, Jan Egger, Victor Alves:
Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review. CoRR abs/2402.04301 (2024) - [i81]André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves, Jan Egger:
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation. CoRR abs/2402.17317 (2024) - [i80]Malik Sallam, Jan Egger, Rainer Röhrig, Behrus Puladi:
Navigating the Peril of Generated Alternative Facts: A ChatGPT-4 Fabricated Omega Variant Case as a Cautionary Tale in Medical Misinformation. CoRR abs/2403.09674 (2024) - [i79]Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Dieter Schmalstieg, Jan Egger:
Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling. CoRR abs/2403.11790 (2024) - [i78]Michael Lackner, Behrus Puladi, Jens Kleesiek, Jan Egger, Jianning Li:
A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction. CoRR abs/2404.15287 (2024) - [i77]Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner:
Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery. CoRR abs/2405.03314 (2024) - [i76]Ana Carolina Alves, André Ferreira, Behrus Puladi, Jan Egger, Victor Alves:
Deep Dive into MRI: Exploring Deep Learning Applications in 0.55T and 7T MRI. CoRR abs/2407.01318 (2024) - [i75]Moritz Rempe, Fabian Hörst, Constantin Seibold, Boris Hadaschik, Marc Schlimbach, Jan Egger, Kevin Kröninger, Felix Breuer, Martin Blaimer, Jens Kleesiek:
Tumor likelihood estimation on MRI prostate data by utilizing k-Space information. CoRR abs/2407.06165 (2024) - [i74]Yuan Jin, Gege Ma, Geng Chen, Tianling Lyu, Jan Egger, Junhui Lyu, Shaoting Zhang, Wentao Zhu:
CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images. CoRR abs/2407.13092 (2024) - 2023
- [j23]Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek:
"A net for everyone": fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. BMC Medical Imaging 23(1): 174 (2023) - [j22]Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Dieter Schmalstieg, Gabriel Mistelbauer, Dominik Fleischmann:
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. Comput. Biol. Medicine 165: 107365 (2023) - [j21]Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek:
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology. Comput. Medical Imaging Graph. 107: 102238 (2023) - [j20]Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger:
The HoloLens in medicine: A systematic review and taxonomy. Medical Image Anal. 85: 102757 (2023) - [j19]Jianning Li, David G. Ellis, Oldrich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88: 102865 (2023) - [j18]Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger:
Open-source skull reconstruction with MONAI. SoftwareX 23: 101432 (2023) - [c62]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, Q. 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, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c61]Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) 2023: 13801-13813 - [c60]Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li, Jan Egger:
Multicenter aortic vessel tree extraction using deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c59]Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger:
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. ShapeMI@MICCAI 2023: 1-14 - [c58]Gian Marco Melito, Antonio Pepe, Alireza Jafarinia, Thomas Krispel, Jan Egger:
Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis. SEG.A@MICCAI 2023: 110-126 - [c57]Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. TAG-ML 2023: 37-49 - [e4]Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13823, Springer 2023, ISBN 978-3-031-25045-3 [contents] - [e3]Christian Wachinger, Beatriz Paniagua, Shireen Y. Elhabian, Jianning Li, Jan Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14350, Springer 2023, ISBN 978-3-031-46913-8 [contents] - [i73]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, Ali 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, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i72]Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek:
CellViT: Vision Transformers for Precise Cell Segmentation and Classification. CoRR abs/2306.15350 (2023) - [i71]Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek:
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. CoRR abs/2306.17555 (2023) - [i70]Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. CoRR abs/2307.02337 (2023) - [i69]Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi:
Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision. CoRR abs/2308.04313 (2023) - [i68]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. CoRR abs/2308.04663 (2023) - [i67]Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger:
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. CoRR abs/2309.04956 (2023) - [i66]Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. CoRR abs/2310.07321 (2023) - [i65]Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen:
Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine. CoRR abs/2311.03986 (2023) - [i64]Zdravko Marinov, Paul F. Jäger, Jan Egger, Jens Kleesiek, Rainer Stiefelhagen:
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy. CoRR abs/2311.13964 (2023) - [i63]Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen:
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. CoRR abs/2312.00532 (2023) - 2022
- [j17]Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek:
Medical deep learning - A systematic meta-review. Comput. Methods Programs Biomed. 221: 106874 (2022) - [j16]Jan Egger, Daniel Wild, Maximilian Weber, Christopher A. Ramirez Bedoya, Florian Karner, Alexander Prutsch, Michael Schmied, Christina Dionysio, Dominik Krobath, Yuan Jin, Christina Gsaxner, Jianning Li, Antonio Pepe:
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform. J. Digit. Imaging 35(2): 340-355 (2022) - [c56]Harsh Sulakhe, Jianning Li, Jan Egger, Poonam Goyal:
CranGAN: Adversarial Point Cloud Reconstruction for patient-specific Cranial Implant Design. EMBC 2022: 603-608 - [c55]Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger, Vitoantonio Bevilacqua:
Enhancement of aortic dissections in CT angiography: are common filters robust enough? Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c54]Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI 2022: 3-11 - [c53]Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger:
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. MAD@MICCAI 2022: 70-92 - [i62]Sascha Ranftl, Malte Rolf-Pissarczyk, Gloria Wolkerstorfer, Antonio Pepe, Jan Egger, Wolfgang von der Linden, Gerhard A. Holzapfel:
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate. CoRR abs/2202.10244 (2022) - [i61]Jana Fragemann, Lynton Ardizzone, Jan Egger, Jens Kleesiek:
Review of Disentanglement Approaches for Medical Applications - Towards Solving the Gordian Knot of Generative Models in Healthcare. CoRR abs/2203.11132 (2022) - [i60]Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. CoRR abs/2204.05703 (2022) - [i59]Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek:
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. CoRR abs/2205.09706 (2022) - [i58]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
GAN-based generation of realistic 3D data: A systematic review and taxonomy. CoRR abs/2207.01390 (2022) - [i57]Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger:
The HoloLens in Medicine: A systematic Review and Taxonomy. CoRR abs/2209.03245 (2022) - [i56]Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger:
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. CoRR abs/2209.14783 (2022) - [i55]Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek:
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology. CoRR abs/2210.11822 (2022) - [i54]Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek:
'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. CoRR abs/2210.14228 (2022) - [i53]Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger:
Open-Source Skull Reconstruction with MONAI. CoRR abs/2211.14051 (2022) - [i52]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j15]Christina Gsaxner, Antonio Pepe, Jianning Li, Una Ibrahimpasic, Jürgen Wallner, Dieter Schmalstieg, Jan Egger:
Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach. Comput. Methods Programs Biomed. 200: 105854 (2021) - [j14]Jianning Li, Gord von Campe, Antonio Pepe, Christina Gsaxner, Enpeng Wang, Xiaojun Chen, Ulrike Zefferer, Martin Tödtling, Marcell Krall, Hannes Deutschmann, Ute Schäfer, Dieter Schmalstieg, Jan Egger:
Automatic skull defect restoration and cranial implant generation for cranioplasty. Medical Image Anal. 73: 102171 (2021) - [j13]Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern:
Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ Comput. Sci. 7: e773 (2021) - [j12]Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Haochen Shi, Xiaojun Chen, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, Yuan Jin, David G. Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu, Matthias Eder, Antonio Pepe, Christina Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern H. Menze, Ben Glocker, Jan Egger:
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40(9): 2329-2342 (2021) - [c52]Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Jan Egger:
Deep learning and particle filter-based aortic dissection vessel tree segmentation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c51]Michael Schmied, Antonio Pepe, Jan Egger:
A patch-based-approach for aortic landmarking. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c50]Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger:
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. AutoImplant@MICCAI 2021: 45-62 - [c49]Artem Kroviakov, Jianning Li, Jan Egger:
Sparse Convolutional Neural Network for Skull Reconstruction. AutoImplant@MICCAI 2021: 80-94 - [c48]Lei Yu, Jianning Li, Jan Egger:
PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis. AutoImplant@MICCAI 2021: 105-115 - [c47]Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger:
An online platform for automatic skull defect restoration and cranial implant design. Medical Imaging: Image-Guided Procedures 2021 - [c46]Christina Gsaxner, Jianning Li, Antonio Pepe, Dieter Schmalstieg, Jan Egger:
Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality. VRST 2021: 4:1-4:11 - [e2]Jianning Li, Jan Egger:
Towards the Automatization of Cranial Implant Design in Cranioplasty II - Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13123, Springer 2021, ISBN 978-3-030-92651-9 [contents] - [i51]Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger:
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. CoRR abs/2108.02998 (2021) - [i50]Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger:
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation. CoRR abs/2108.05269 (2021) - [i49]Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann:
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. CoRR abs/2111.11269 (2021) - [i48]Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek:
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation. CoRR abs/2112.00661 (2021) - 2020
- [j11]Antonio Pepe, Jianning Li, Malte Rolf-Pissarczyk, Christina Gsaxner, Xiaojun Chen, Gerhard A. Holzapfel, Jan Egger:
Detection, segmentation, simulation and visualization of aortic dissections: A review. Medical Image Anal. 65: 101773 (2020) - [c45]Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Xiaojun Chen, Thomas-Peter Fries, Jan Egger:
IRIS: interactive real-time feedback image segmentation with deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170R - [c44]Jianning Li, Jan Egger:
Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge. AutoImplant@MICCAI 2020: 10-15 - [c43]Florian Karner, Christina Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck, Clemens Arth, Jürgen Wallner, Jan Egger:
Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality. ML-CDS/CLIP@MICCAI 2020: 64-74 - [c42]Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger:
A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge. ML-CDS/CLIP@MICCAI 2020: 75-84 - [c41]Yuan Jin, Jianning Li, Jan Egger:
High-Resolution Cranial Implant Prediction via Patch-Wise Training. AutoImplant@MICCAI 2020: 94-103 - [c40]Matthias Eder, Jianning Li, Jan Egger:
Learning Volumetric Shape Super-Resolution for Cranial Implant Design. AutoImplant@MICCAI 2020: 104-113 - [c39]Antonio Pepe, Gabriel Mistelbauer, Christina Gsaxner, Jianning Li, Dominik Fleischmann, Dieter Schmalstieg, Jan Egger:
Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. TIA@MICCAI 2020: 130-140 - [c38]Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito, Christina Gsaxner, Jianning Li, Katrin Ellermann, Xiaojun Chen:
A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data. Medical Imaging: Image-Guided Procedures 2020: 1131531 - [e1]Jianning Li, Jan Egger:
Towards the Automatization of Cranial Implant Design in Cranioplasty - First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12439, Springer 2020, ISBN 978-3-030-64326-3 [contents] - [i47]Alexander Prutsch, Antonio Pepe, Jan Egger:
Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images. CoRR abs/2005.02760 (2020) - [i46]Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger:
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design. CoRR abs/2006.00980 (2020) - [i45]Jianning Li, Antonio Pepe, Christina Gsaxner, Gord von Campe, Jan Egger:
A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge. CoRR abs/2006.12449 (2020) - [i44]Jan Egger, Christina Gsaxner, Antonio Pepe, Jianning Li:
Medical Deep Learning - A systematic Meta-Review. CoRR abs/2010.14881 (2020) - [i43]Jan Egger, Antonio Pepe, Christina Gsaxner, Jianning Li:
Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact. CoRR abs/2011.08184 (2020)
2010 – 2019
- 2019
- [j10]Jürgen Wallner, Michael Schwaiger, Kerstin Hochegger, Christina Gsaxner, Wolfgang Zemann, Jan Egger:
A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery. Comput. Methods Programs Biomed. 182 (2019) - [j9]