| P01: Information Mismatch in PHH3-Assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis Jonathan Ganz et al. Technische Hochschule Ingolstadt |
| P02: Multi-level Cancer Profiling through Joint Cell-graph Representations Luis Rivera Monroy et al. FAU Erlangen-Nürnberg |
| P03: TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification Joshua Niemeijer et al. German Aerospace Center (DLR) |
| P04: End-to-End Encoders Stabilize Quantum Convolutional Neural Networks for Medical Image Classification Leyi Tang et al. FAU Erlangen-Nürnberg |
| P05: A Novel Data Augmentation Method for Liver Tumor Segmentation Using Joint Synthesis of Structure, Texture and Contrast Serouj Khajarian et al. University of Applied Sciences Landshut |
| P06: IM-MoCo Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations Ziad Al-Haj Hemidi et al. University of Lübeck |
| P07: Assessing Spatial Bias in Medical Imaging: An Empirical Study of PatchGAN Discriminator Effectiveness Marc Seibel et al. University of Lübeck |
| P08: Unsupervised Single-Source Domain Generalization for Robust Quantification of Lymphatic Perfusion Lisa K. Fischer et al. FAU Erlangen-Nürnberg |
| P09: Data-proximal neural networks for limited-view CT Simon Göppel et al. IABG, Ottobrunn |
| P10: Towards robust zero-shot chest X-ray classification: Exploring data distribution bias in chest X-ray datasets Sheethal Bhat et al. FAU Erlangen-Nürnberg |
| P11: Precision ICU Resource Planning: A Multimodal Model for Brain Surgery Outcomes Robin Peretzke et al. German Cancer Research Center (DKFZ) |
| P12: A Systematic Analysis of Input Modalities for Fracture Classification of the Paediatric Wrist Ron Keuth et al. University of Lübeck |
| P13: Intrinsic Correspondence of Classification Ground Truth and Image Content on the Example of Endoscopic Images Johannes Schuiki et al. University of Salzburg |
| P14: Real-world Federated Learning in Radiology: Hurdles to overcome and Benefits to gain Markus Bujotzek et al. German Cancer Research Center (DKFZ) |
| P15: Contrastive Learning Approach for Assessment of Speech in Patients with Tongue Cancer Using MRI Data Tomas Arias-Vergara et al. FAU Erlangen-Nürnberg |
| P16: An Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention Shuo Zhao et al. Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund |
| P17: Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data Maximilian Tschuchnig et al. Salzburg University of Applied Sciences and University of Salzburg |
| P18: Automatic Thyroid Scintigram Segmentation using U-Net Marius Krusen et al. University of Lübeck |
| P19: Coronary Tree Segmentation and Labelling in X-Ray Angiography Images Using Graph Deep Learning Robin Gayet et al. Charité - Universitätsmedizin Berlin |
| P20: Skeleton Recall Loss Yannick Kirchhoff et al. German Cancer Research Center (DKFZ) |
| P21: A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data Michal Nohel et al. German Cancer Research Center (DKFZ) |
| P22: Automatic Detection of Bronchoscopes on X-ray Images Maryam Parvin et al. FAU Erlangen-Nürnberg |
| P23: Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging Prajol Shrestha et al. FAU Erlangen-Nürnberg |
| P24: A Comprehensive Dataset of Coarse Tumor Annotations for TCGA-BRCA: A Resource for Breast Cancer Research Sweta Banerjee et al. Flensburg University of Applied Sciences |
| S01: Abstract: Neural Cellular Automata Learn and Predict on Low-Power Devices Nick Lemke et al. Darmstadt University of Technology |
| P25: Nuclear pleomorphism in canine cutaneous mast cell tumors Christof Bertram et al. University of Veterinary Medicine Vienna |
| P26: Leveraging Image Captions for Selective Whole Slide Image Annotation Jingna Qiu et al. FAU Erlangen-Nürnberg |
| P27: Würstchen: An efficient architecture for large-scale text-to-image diffusion models Marc Aubreville et al. Flensburg University of Applied Sciences |
| P28: Enhancing Zero-Shot Learning in Chest X-ray Diagnostics using BioBERT for Textual Representation Prakhar Bhardwaj et al. FAU Erlangen-Nürnberg |
| P29: Simulation-informed learning for time-resolved angiographic contrast agent concentration reconstruction Noah Maul et al. FAU Erlangen-Nürnberg |
| P30: U-Net and GAN for Virtual Contrast in Breast MRI: How Do They Compare to Real Contrast Images? Aju George et al. FAU Erlangen-Nürnberg |
| P31: Client Security Alone Fails in Federated Learning: 2D and 3D Attack Insights Santhosh Parampottupadam et al. University of Heidelberg |
| P32: Selective Reduction of CT Data for Self-Supervised Pre-Training Improves Downstream Classification Performance Daniel Wolf et al. Ulm University Medical Center |
| P33: Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions Junaid Rasool Rajput et al. University Hospital Erlangen |
| P34: Two-Stage Approach for Low-Dose and Sparse-Angle CT Image Reconstruction Using Backprojection Tim Selig Hochschule Darmstadt |
| P35: Learned shift-variant CBCT reconstruction weights for non-continuous trajectories Chengze Ye et al. FAU Erlangen-Nürnberg |
| P36: Self-Supervised 3D Vision Transformer Pre-Training for Robust Brain Tumor Classification Danilo Weber Nunes et al. OTH Regensburg |
| P37: Evolutionary normalization optimization boosts semantic segmentation network performance Luisa Neubig et al. FAU Erlangen-Nürnberg |
| P38: Exploring the Integration of Key-Value Attention Into Pure and Hybrid Transformers for Semantic Segmentation Tobias Holmes et al. Aachen University of Applied Sciences |
| P39: A Category-Fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images Daiqi Liu et al. FAU Erlangen-Nürnberg |
| P40: DualPath-FFNet: Dynamic Fusion of Pre-trained Features with Sigmoid-Gated Attention for Improved Medical Image Segmentation Sadat Hasan Chowdhury et al. Hannover Medical School |
| P41: Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting Yannick Kirchhoff et al. German Cancer Research Center (DKFZ) |
| P42: Internal Organ Localization Using Depth Images Eytan Kats et al. University of Lübeck |
| P43: Leveraging multiple total body segmentators and anatomy-informed post-processing for segmenting bones in Lung CTs Lukas Förner et al. University Hospital Augsburg |
| P44: Evaluation of TransUNet for the Segmentation of Retinal Structures in OCT-A Leonie Schüßler et al. Fraunhofer Institute for Computer Graphics Research IGD |
| P45: Camera-based guide wire tracking for a hybrid neurovascular intervention training system Sonja Wichelmann et al. Fraunhofer MEVIS |
| P46: Challenges of Sparse and Irregular Medical Image Time Series Nico Disch et al. University of Heidelberg |
| P47: Accurate Device Tracking in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features Saahil Islam et al. FAU Erlangen-Nürnberg |
| S02: Abstract: Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution Maximilian Fischer et al. German Cancer Research Center (DKFZ) Heidelberg |
| V23: Preservation of Image Content in Stain-to-Stain Translation for Digital Pathology Boqiang Huang et al. University of Regensburg |