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ORCIDBildverarbeitung für die Medizin 2023: Braunschweig, Germany
- 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 - Bernhard Kainz:
Keynote: Beyond Supervised Learning - Exploring Novel Machine Learning Approaches for Robust Medical Image Analysis. 1 - Hinrich B. Winther, Sabine Maschke, Lena Becker, Cornelia Dewald, Marcel Eicke, Bernhard C. Meyer:
Keynote: Fully Automated Bone Removal in CBCT of the Lower Body Stem. 2 - Moritz Wallrodt, Maximilian Schulz-Alsen, Hanno Ehlken, Thomas Rösch, Rüdiger Schmitz, René Werner:
Extending Tempcyclegan for Virtual Augmentation of Gastrointestinal Endoscopy Training Simulators. 3-8 - Fuxin Fan, Björn W. Kreher, Holger Keil, Andreas K. Maier, Yixing Huang:
Abstract: Fiducial Marker Recovery and Detection From Severely Truncated Data in Navigation-assisted Spine Surgery. 9 - 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. 10 - Timo Kepp, Julia Andresen, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Heinz Handels:
Abstract: Shape-based Segmentation of Retinal Layers and Fluids in OCT Image Data. 11 - Fabian Isensee, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein:
Extending nnU-Net Is All You Need. 12-17 - Annika Gerken, Grzegorz Chlebus, Hans Meine, Felix Thielke, Farina Kock, Tobias Paulus, Nasreddin Abolmaali, Andrea Schenk:
Abstract: Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net. 18 - Orgest Xhelili, Miruna Gafencu, Francesca De Benetti, Nassir Navab, Thomas Wendler:
Automatic Vertebrae Segmentation in MR Volumes - A Comparison of Different Deep Learning-based Approaches. 19-24 - Constantin Jehn, Johanna P. Müller, Bernhard Kainz:
Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging. 25-31 - Aline Sindel, Andreas K. Maier, Vincent Christlein:
A Vesselsegmentation-based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis. 32-37 - Francesca De Benetti, Robin Frasch, Luis F. Rodriguez Venegas, Kuangyu Shi, Nassir Navab, Thomas Wendler:
Enhancing Medical Image Segmentation with Anatomy-aware Label Dependency. 38-44 - Gurbandurdy Dovletov, Stefan Lörcks, Josef Pauli, Marcel Gratz, Harald H. Quick:
Double Grad-CAM Guidance for Improved MRI-based Pseudo-CT Synthesis. 45-50 - Ayman Ahmed, Alfred M. Franz, Hans-Ulrich Kauczor, Philippe L. Pereira, Christof M. Sommer:
Planning of Spherical Volumes for Treating Renal Tumors by Thermal Ablation with Tissue Shrinkage Estimation. 51-56 - Jonas Schauer, Florian Thamm, Oliver Taubmann, Andreas K. Maier:
Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods. 57-62 - Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas K. Maier:
Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. 63 - Marc Balle Sánchez, Maria Ávila González, Francesca De Benetti, Aldana Lizarraga, Igor Yakushev, Nassir Navab, Thomas Wendler:
Improved Tractography by Means of DL-based DWI Image Enhancement. 64-69 - Marcel Ganß, Francesca De Benetti, Julia Brosch-Lenz, Carlos Uribe, Kuangyu Shi, Matthias Eiber, Nassir Navab, Thomas Wendler:
Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT - Streamlining Personalized Internal Dosimetry. 70-75 - Adarsh Raghunath, Fabian Wagner, Mareike Thies, Mingxuan Gu, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Georg Schett, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier:
Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model. 76-81 - Jonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy. 82-87 - Rebecca Preßler, Monique Meuschke, Henrik Voigt, Kai Lawonn:
WEB-ANEULYSIS - A Web-based Application for the Analysis of Aneurysm Data. 88-94 - Timo Baumgärtner, Benjamin Johannes Mittmann, Till Malzacher, Johannes Roßkopf, Michael Braun, Bernd Schmitz, Alfred M. Franz:
Towards Clinical Translation of Deep Learning-based Classification of DSA Image Sequences for Stroke Treatment. 95-101 - Christoph Großbröhmer, Luisa Bartram, Corinna Rheinbay, Mattias P. Heinrich, Ludger Tüshaus:
Leveraging Semantic Information for Sonographic Wrist Fracture Assessment Within Children. 102-107 - Christian Schmidt, Heinrich M. Overhoff:
Applicability of BI-RADS Criteria for Deep Learning-based Classification of Suspicious Masses in Sonograms. 108-113 - Niklas Holzwarth, Melanie Schellenberg, Janek Gröhl, Kris Dreher, Jan-Hinrich Nölke, Alexander Seitel, Minu Dietlinde Tizabi, Beat P. Müller-Stich, Lena Maier-Hein:
Abstract: Tattoo-Tomographie - Freihand-3D-Photoakustik und multimodale Bildfusion. 114 - Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Mitko Veta, Katharina Breininger:
Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images. 115 - Ludwig M. Lausser, Christof A. Bertram, Robert Klopfleisch, Marc Aubreville:
Limits of Human Expert Ensembles in Mitosis Multi-expert Ground Truth Generation. 116-121 - Linda Vorberg, Florian Thamm, Hendrik Ditt, Marius Horger, Florian Hagen, Andreas K. Maier:
Detection of Pulmonary Embolisms in NCCT Data Using nnDetection. 122-127 - Robert Mendel, David Rauber, Christoph Palm:
Exploring the Effects of Contrastive Learning on Homogeneous Medical Image Data. 128-133 - Luisa Neubig, Andreas M. Kist:
Dataset Pruning using Evolutionary Optimization. 134-139 - Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein:
Abstract: Towards Real-world Federated Learning in Medical Image Analysis using Kaapana. 140 - Yipeng Sun, Andreas M. Kist:
Compact Convolutional Transformers on Edge TPUs. 141-146 - Alexandra Ertl, Philipp Maas, Wiebke Rudolph, Johanna Rümenapp, Eren Bora Yilmaz, Claus-Christian Glüer, Olav Jansen, Michael Müller:
Automated Thrombus Segmentation in Stroke NCCT Incorporating Clinical Data. 147-152 - Robert Kreher, Annika Niemann, Libin Kutty, Viju Sudhi, Bernhard Preim, Daniel Behme, Sylvia Saalfeld:
Geometric Deep Learning Vascular Domain Segmentation. 153-158 - Ani Ambroladze, Horst K. Hahn, Heba Amer, Michael Ingrisch, Annika Gerken, Markus T. Wenzel, Michael Püsken, Andreas Mittermeier, Christoph Engel, Rita Schmutzler, Eva M. Fallenberg:
CNN-based Whole Breast Segmentation in Longitudinal High-risk MRI Study - Initial Findings on Quality vs. Quantity of Training Annotations. 159-164 - Pavan Tummala, Georg Hille, Sylvia Saalfeld:
Automatic Lung Nodule Segmentation in CT Imaging using an Improved 3D-Res2Unet. 165-170 - Nicolai R. Krekiehn, Eren Bora Yilmaz, Hannes C. Kruse, Carsten Meyer, Claus-Christian Glüer:
Automated Deep-learning-based Vertebral Body Localization and Instance Segmentation for Osteoporosis Assessment using CT. 171-176 - Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas K. Maier, Alexander Mühlberg:
Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images DeepTechnome. 177-182 - Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein:
Taming Detection Transformers for Medical Object Detection. 183-188 - Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram:
Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector. 189-195 - 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. 196 - Ivanna Kramer, Sabine Bauer, Dietrich Paulus:
Abstract: Determination of Unknown Biomechanical Parameters of a Screw-vertebra MBS Model. 197 - Annika Reinke, Georg Grab, Lena Maier-Hein:
Challenge Results are not Reproducible. 198-203 - Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas K. Maier:
Abstract: Is Medical Chest X-ray Data Anonymous? - Deep Learning-based Patient Re-identification is Able to Exploit the Biometric Nature of Medical Chest X-ray Data. 204 - Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset. 205 - Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. 206-211 - Abin Jose, Rijo Roy, Johannes Stegmaier:
Weakly-supervised Temporal Segmentation of Cell-cycle Stages with Center-cell Focus using Recurrent Neural Networks. 212-219 - Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville:
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. 220-225 - Jonathan Ganz, Karoline Lipnik, Jonas Ammeling, Barbara Richter, Chloé Puget, Eda Parlak, Laura Diehl, Robert Klopfleisch, Taryn A. Donovan, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images. 226-231 - Marcel Reimann, Jungeun Won, Hiroyuki Takahashi, Antonio Yaghy, Yunchan Hwang, Stefan B. Ploner, Junhong Lin, Jessica Girgis, Kenneth Lam, Siyu Chen, Nadia K. Waheed, Andreas K. Maier, James G. Fujimoto:
Unsupervised detection of Small Hyperreflective Features in Ultrahigh Resolution Optical Coherence Tomography. 232-237 - Devesh Singh, Martin Dyrba:
Comparison of CNN Architectures for Detecting Alzheimer's Disease using Relevance Maps. 238-243 - Florian Kordon, Andreas K. Maier, Benedict Swartman, Maxim Privalov, Jan Siad El Barbari, Holger Kunze:
Abstract: Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning. 244 - 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. 245 - Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
Contrastive Representations for Unsupervised Anomaly Detection and Localization. 246-252 - Dominik Müller, Dennis Hartmann, Iñaki Soto Rey, Frank Kramer:
Abstract: AUCMEDI - Von der Insellösung zur einheitlichen und automatischen Klassifizierung von Medizinischen Bildern. 253 - Mingxuan Gu, Mareike Thies, Fabian Wagner, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Zhaoya Pan, Jonas Utz, Georg Schett, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier:
Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae. 254-259 - Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas K. Maier:
Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT. 260 - Hümeyra Husseini, Maximilian Nielsen, Klaus Pantel, Harriet Wikman, Sabine Riethdorf, René Werner:
Label Efficient Classification in Liquid Biopsy Data by Self-supervision. 261-266 - Dragalina Dulea, Isabel Wank, Claudiu Ivan, Tanja Niedermair, Susanne Grässel, Andreas K. Maier, Andreas Hess:
Motif Analysis of Resting-state and Stimulus-driven fMRI Networks with Special Focus on Neurotransmitter-specific Subnetworks 2023. 267-272 - Tri-Thien Nguyen, Lukas Folle, Thomas Bayer, Andreas K. Maier:
Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning. 273-278 - Lena Stevanovic, Ramona Bodanowitz, Benjamin Johannes Mittmann, Ann-Kathrin Greiner-Perth, Eva Marschall, Tobias Kannberg, Timo Baumgärtner, Michael Braun, Bernd Schmitz, Alfred M. Franz:
Localizable Instruments for Navigated Treatment of Ischemic Stroke. 279-284 - Gino Gulamhussene, Arnab Das, Jonathan Spiegel, Daniel Punzet, Marko Rak, Christian Hansen:
Needle Tip Tracking During CT-guided Interventions using Fuzzy Segmentation. 285-291 - Gino Gulamhussene, Jonathan Spiegel, Arnab Das, Marko Rak, Christian Hansen:
Deep Learning-based Marker-less Pose Estimation of Interventional Tools using Surrogate Keypoints. 292-298 - Dominik Horstmann, Karen Meyer zu Hartlage, Daniel L. Reimert, Joaquin J. Löning Caballero, Othmar Belker, Frank K. Wacker, Bennet Hensen, Marcel Gutberlet:
Abstract: Implementation of a Real-time 3D-thermometry Pipeline in Gadgetron for Easy Clinical Integration. 299 - Juri Welz, Matthias Ivantsits, Isaac Wamala, Jörg Kempfert, Simon H. Sündermann, Volkmar Falk, Anja Hennemuth:
Matching Endoscopic 3D Image Data with 4D Echocardiographic Data for Extended Reality Support in Mitral Valve Repair Surgery. 300-305 - Wai Yan Ryana Fok, Andreas Fieselmann, Magdalena Herbst, Ludwig Ritschl, Marcel Beister, Steffen Kappler, Sylvia Saalfeld:
Cross-modality Training Approach for CT Super-resolution Network. 306-311 - 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. 312
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