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ORCIDBildverarbeitung für die Medizin 2025: Regensburg, Germany
- 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 - Ivana Isgum:
Keynote: AI for Analysis of Coronary Artery Disease. 1 - David Hawkes:
Keynote: Fifty Years of Medical Image Computing and my Small Part. 2-3 - Dirk Wilhelm:
Keynote: Autonomous Surgery from a Surgeon's Perspective. 4 - Pia F. Schulz, Andra Oltmann, Johannes Bostelmann, Ole Gildemeister, Franz Wegner, Jan Lellmann, Philipp Rostalski, Jan Modersitzki:
Image Registration for a Dynamic Breathing Model. 5-11 - Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Abstract: ConvexAdam - Self-configuring Framework for Dual-Optimisation-based 3D Multitask Medical Image Registration. 12 - Jan Boysen, Hristina Uzunova, Jan Ehrhardt, Heinz Handels:
Surrogate-based Respiratory Motion Estimation using Physics-enhanced Implicit Neural Representations. 13-18 - Ole Felber, Louis Bellmann, Philipp Breitfeld, Martin Petzoldt, Felix Rindt, René Werner, Maximilian Nielsen:
Comparison of Framewise Video Classification in Laryngoscopies. 19-24 - Thomas Eixelberger, Karl Weingärtner, Philipp Maisch, Christian Bolenz, Thomas Wittenberg:
Real-time Fiberscopic Image Improvement for Automated Lesion Detection in the Urinary Bladder. 25-30 - Nafie El Amrani, Dongliang Cao, Florian Bernard:
Abstract: Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning. 31 - Christoph Großbröhmer, Fenja Falta, Ron Keuth, Timo Kepp, Mattias P. Heinrich:
Robust Statistical Shape Modelling with Implicit Neural Representations. 32-37 - Maximilian Weiherer, Antonia von Riedheim, Vanessa Brébant, Bernhard Egger, Christoph Palm:
iRBSM - A Deep Implicit 3D Breast Shape Model. 38-43 - Mona Irsfeld, Heinz Handels, Hristina Uzunova:
Diffusion Models for Conditional Brain Tumor MRI Generation with Tumor-induced Deformations. 44-49 - Jasmin Arjomandi, Luisa Neubig, Andreas M. Kist:
LLM-driven Baselines for Medical Image Segmentation - A Systematic Analysis. 50-56 - Zeineb Haouari, Jonas Weidner, Ivan Ezhov, Aswathi Varma, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler:
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models. 57-62 - Jonathan Ganz, Jonas Ammeling, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Is Self-supervision Enough? - Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification. 63-68 - Mattias P. Heinrich:
Look, No Convs! Permutation- and Rotation-invariance for MetaFormers. 69-74 - Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz:
Abstract: Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model. 75 - Bjarne C. Hiller, Sebastian Bader, Devesh Singh, Thomas Kirste, Martin Becker, Martin Dyrba:
Evaluating the Fidelity of Explanations for Convolutional Neural Networks in Alzheimer's Disease Detection. 76-81 - A. Emre Kavur, Lena Maier-Hein, Annika Reinke:
Abstract: Metrics Reloaded - Recommendations and Online Toolkit for Image Analysis Validation. 82 - Lennart Meyling, Christoph Großbröhmer, Jürgen Lichtenstein, Mattias P. Heinrich, Lasse Hansen:
Real-time Landmark Guidance for Radial Head Localization in Ultrasound Imaging. 83-88 - Pauline Heine, Luise Robra, Jan Komposch, Janis Börsig, Jonas Bornmann, Andreas Leiniger, Rainer Brucher, Alfred M. Franz:
Ultrasound-based 3D Reconstruction of Residual Limbs using Electromagnetic Tracking. 89-94 - Wiebke Heyer, Christian Weihsbach, Christoph Otte, Jürgen Lichtenstein, Sebastian Lippross, Mattias P. Heinrich, Lasse Hansen:
Autocalibration for 3D Ultrasound Reconstruction in Infant Hip Dysplasia Screening. 95-100 - Olivier Morelle, Justus Bisten, Maximilian W. M. Wintergerst, Robert Patrick Finger, Thomas Schultz:
Weakly Supervised Segmentation of Hyper-reflective Foci with Compact Convolutional Transformers and SAM 2. 101-106 - Timo Kepp, Julia Andresen, Fenja Falta, Heinz Handels:
Bridging Gaps in Retinal Imaging - Fusing OCT and SLO Information with Implicit Neural Representations for Improved Interpolation and Segmentation. 107-112 - Christof A. Bertram, Viktoria Weiss, Taryn A. Donovan, Sweta Banerjee, Thomas Conrad, Jonas Ammeling, Robert Klopfleisch, Christopher C. Kaltenecker, Marc Aubreville:
Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br). 113-118 - Boqiang Huang, Wissem Benjeddou, Nadine S. Schaadt, Johannes Lotz, Friedrich Feuerhake, Dorit Merhof:
Preservation of Image Content in Stain-to-stain Translation for Digital Pathology. 119-128 - Emely Rosbach, Jonathan Ganz, Jonas Ammeling, Andreas Riener, Marc Aubreville:
Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology. 129-134 - Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville:
Abstract: Re-identification from Histopathology Images. 135 - Chang Liu, Fuxin Fan, Annette Schwarz, Andreas K. Maier:
Anatomy-aware Data Augmentation for Multi-organ Segmentation in CT - AnatoMix. 136-141 - Janine Hürtgen, Sylvia Saalfeld, Robert Kreher, Mathias Becker, Georg Rose, Georg Hille:
Segmentation of Spinal Necrosis Zones in MRI. 142-147 - Michael Schwimmbeck, Christopher Auer, Johannes Schmidt, Stefanie Remmele:
Augmented Reality Prompts for Foundation Model-based Semantic Segmentation. 148-153 - 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. 154 - Jonathan Ganz, Christian Marzahl, Jonas Ammeling, Emely Rosbach, Taryn A. Donovan, Samir Jabari, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Abstract: Information Mismatch in PHH3-assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis. 155 - Luis Carlos Rivera Monroy, Leonhard Rist, Frauke Wilm, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas K. Maier:
Abstract: Multi-level Cancer Profiling through Joint Cell-graph Representations. 156 - Joshua Niemeijer, Jan Ehrhardt, Hristina Uzunova, Heinz Handels:
Abstract: TSynD Targeted Synthetic Data Generation for Enhanced Medical Image Classification - Leveraging Epistemic Uncertainty to Improve Model Performance. 157 - Leyi Tang, Merlin A. Nau, Andreas K. Maier:
End-to-end Encoders Stabilize Quantum Convolutional Neural Networks for Medical Image Classification. 158-163 - Serouj Khajarian, Oliver Amft, Stefanie Remmele:
Data Augmentation for Liver Tumor Segmentation using Structure, Texture, and Contrast. 164-169 - Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich:
Abstract: IM-MoCo - Self-supervised MRI Motion Correction using Motion-guided Implicit Neural Representations. 170-171 - Marc S. Seibel, Timo Kepp, Hristina Uzunova, Jan Ehrhardt, Heinz Handels:
Assessing Spatial Bias in Medical Imaging - An Empirical Study of PatchGAN Discriminator Effectiveness. 172-177 - Lisa K. Fischer, Johanna P. Müller, Christian Schröder, Anja Hanser, Michela Cuomo, Thomas G. Day, Cheng Ouyang, Oliver Dewald, Oliver Rompel, Sven Dittrich, Thomas Küstner, Bernhard Kainz:
Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion. 178-184 - Simon Göppel, Jürgen Frikel, Markus Haltmeier:
Data-proximal Neural Networks for Limited-view CT. 185-190 - Sheethal Bhat, Adarsh Bhandary Panambur, Awais Mansoor, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier:
Towards Robust Zero-shot Chest X-ray Classification - Exploring Data Distribution Bias in Chest X-ray Datasets. 191-196 - 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. 197-202 - Ron Keuth, Maren Balks, Sebastian Tschauner, Ludger Tüshaus, Mattias P. Heinrich:
Systematic Analysis of Input Modalities for Fracture Classification of the Paediatric Wrist. 203-208 - Johannes Schuiki, Andreas Uhl:
Intrinsic Correspondence of Classification Ground Truth and Image Content on the Example of Endoscopic Images. 209-214 - 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. 215 - Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Xiaofeng Liu, Fangxu Xing, Maureen Stone, Jiachen Zhuo, Jerry L. Prince, Maria Schuster, Elmar Nöth, Jonghye Woo, Andreas K. Maier:
Abstract: Contrastive Learning Approach for Assessment of Speech in Patients with Tongue Cancer using MRI Data. 216 - Shuo Zhao, Yu Zhou, Jianxu Chen:
Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention. 217-222 - Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr:
Improving Segmentation by Combining Preoperative CT and Intraoperative CBCT using Synthetic Data. 223-228 - Moritz A. Mau, Marius Krusen, Floris Ernst:
Automatic Thyroid Scintigram Segmentation using U-Net. 229-234 - Robin Gayet, Alaa Abd El Al, Alexander Meyer, Anja Hennemuth, Matthias Ivantsits, Antonia Popp:
Coronary Tree Segmentation and Labelling in X-ray Angiography Images Using Graph Deep Learning. 235-240 - 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. 241 - 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. 242-247 - Maryam Parvin, Maximilian Rohleder, Andreas K. Maier, Holger Kunze:
Automatic Detection of Bronchoscopes on X-ray Images. 248-253 - Prajol Shrestha, Mikhail Kulyabin, Aline Sindel, Hilde R. Pedersen, Stuart J. Gilson, Rigmor C. Baraas, Andreas K. Maier:
Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging. 254-259 - Sweta Banerjee, Christof A. Bertram, Jonas Ammeling, Viktoria Weiss, Thomas Conrad, Robert Klopfleisch, Christopher C. Kaltenecker, Katharina Breininger, Marc Aubreville:
Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma. 260-265 - Nick Lemke, Mirko Konstantin, Henry John Krumb, John Kalkhof, Anirban Mukhopadhyay:
Abstract: Neural Cellular Automata Learn and Predict on Low-Power Devices. 266 - Andreas Haghofer, Eda Parlak, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Pompei Bolfa, Michael J. Dark, Andrea Fuchs-Baumgartinger, Andrea Klang, Kathrin Jäger, Robert Klopfleisch, Sophie Merz, Barbara Richter, F. Yvonne Schulman, Hannah Janout, Jonathan Ganz, Josef Scharinger, Marc Aubreville, Stephan M. Winkler, Matti Kiupel, Christof A. Bertram:
Abstract: Nuclear Pleomorphism in Canine Cutaneous Mast Cell Tumors. 267 - Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger:
Abstract: Leveraging Image Captions for Selective Whole Slide Image Annotation. 268 - Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher J. Pal, Marc Aubreville:
Abstract: Würstchen - An Efficient Architecture for Large-scale Text-to-image Diffusion Models. 269 - Prakhar Bhardwaj, Sheethal Bhat, Andreas K. Maier:
Enhancing Zero-shot Learning in Chest X-ray Diagnostics using BioBERT for Textual Representation. 270-275 - Noah Maul, Annette Birkhold, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Philipp Berg, Markus Kowarschik, Andreas K. Maier:
Abstract: Simulation-informed Learning for Time-resolved Angiographic Contrast Agent Concentration Reconstruction. 276 - Aju George, Hannes Schreiter, Julian Hossbach, Tri-Thien Nguyen, Ihor Horishnyi, Chris Ehring, Shirin Heidarikahkesh, Lorenz A. Kapsner, Frederik B. Laun, Michael Uder, Sabine Ohlmeyer, Sebastian Bickelhaupt, Andrzej Liebert:
U-Net and GAN for Virtual Contrast in Breast MRI - How Do They Compare to Real Contrast Images? 277-282 - 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. 283 - Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski:
Abstract: Selective Reduction of CT Data for Self-supervised Pre-training Improves Downstream Classification Performance. 284 - Junaid R. Rajput, Simon Weinmueller, Jonathan Endres, Peter Dawood, Florian Knoll, Andreas K. Maier, Moritz Zaiss:
Abstract: Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions. 285 - Tim Selig, Patrick Bauer, Jürgen Frikel, Thomas März, Martin Storath, Andreas Weinmann:
Two-stage Approach for Low-dose and Sparse-angle CT Reconstruction using Backprojection. 286-291 - Chengze Ye, Linda-Sophie Schneider, Yipeng Sun, Mareike Thies, Andreas K. Maier:
Learned Shift-variant CBCT Reconstruction Weights for Non-continuous Trajectories. 292-297 - Danilo Weber Nunes, David Rauber, Christoph Palm:
Self-supervised 3D Vision Transformer Pre-training for Robust Brain Tumor Classification. 298-303 - Luisa Neubig, Andreas M. Kist:
Abstract: Evolutionary Normalization Optimization Boosts Semantic Segmentation Network Performance. 304 - DeShin Hwa, Tobias Holmes, Klaus Drechsler:
Integration of Key-value Attention into Pure and Hybrid Transformers for Semantic Segmentation. 305-310 - Daiqi Liu, Fuxin Fan, Andreas K. Maier:
Category-fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images. 311-316 - Sadat H. Chowdhury, Mohamed Yaseen Jabarulla, Hinrich B. Winther, Steffen Oeltze-Jafra:
DualPath-FFNet - Dynamic Fusion of Pre-trained Features with Sigmoid-gated Attention for Improved Medical Image Segmentation. 317-322 - 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. 323 - Eytan Kats, Kai Geißler, Jochen G. Hirsch, Stefan Heldmann, Mattias P. Heinrich:
Internal Organ Localization using Depth Images - A Framework for Automated MRI Patient Positioning. 324-329 - Lukas Förner, Kartikay Tehlan, Constantin Bauer, Josua A. Decker, Thomas Wendler:
Leveraging Multiple Total Body Segmentators and Anatomy-informed Post-processing for Segmenting Bones in Lung CTs. 330-335 - Leonie Schüßler, Anna-Sophia Hertlein, Alexander K. Schuster, Stefan Wesarg:
Evaluation of TransUNet for the Segmentation of Retinal Structures in OCT-A. 336-341 - Sonja Wichelmann, Roman Leonov, Claudia Rittmüller, Torben Pätz:
Camera-based Guide Wire Tracking for a Hybrid Neurovascular Intervention Training System. 342-347 - 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. 348-349
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