A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information. - Florian Kofler; Johannes C. Paetzold; Ivan Ezhov; Suprosanna Shit; Daniel Krahulec; Jan S. Kirschke; Claus Zimmer; Benedikt Wiestler; Bjoern H. Menze (BrainLes@MICCAI (1), 2019)

DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. - Hongwei Li 004; Johannes C. Paetzold; Anjany Sekuboyina; Florian Kofler; Jianguo Zhang 001; Jan S. Kirschke; Benedikt Wiestler; Bjoern H. Menze (MICCAI (4), 2019)

Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. - Fernando Navarro; Suprosanna Shit; Ivan Ezhov; Johannes C. Paetzold; Andrei Gafita; Jan C. Peeken; Stephanie E. Combs; Bjoern H. Menze (MLMI@MICCAI, 2019)

Inferring the 3D Standing Spine Posture from 2D Radiographs. - Amirhossein Bayat; Anjany Sekuboyina; Johannes C. Paetzold; Christian Payer; Darko Stern; Martin Urschler; Jan S. Kirschke; Bjoern H. Menze (MICCAI (6), 2020)

A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images. - Stefan Gerl; Johannes C. Paetzold; Hailong He; Ivan Ezhov; Suprosanna Shit; Florian Kofler; Amirhossein Bayat; Giles Tetteh; Vasilis Ntziachristos; Bjoern H. Menze (MICCAI (6), 2020)

Aν-Net: Automatic Detection and Segmentation of Aneurysm. - Suprosanna Shit; Ivan Ezhov; Johannes C. Paetzold; Bjoern H. Menze (CADA@MICCAI, 2020)

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. - Ahmad Bin Qasim; Ivan Ezhov; Suprosanna Shit; Oliver Schoppe; Johannes C. Paetzold; Anjany Sekuboyina; Florian Kofler; Jana Lipková; Hongwei Li 004; Bjoern H. Menze (MIDL, 2020)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation. - Suprosanna Shit; Johannes C. Paetzold; Anjany Sekuboyina; Andrey Zhylka; Ivan Ezhov; Alexander Unger; Josien P. W. Pluim; Giles Tetteh; Bjoern H. Menze (CoRR, 2020)

Real-time Bayesian personalization via a learnable brain tumor growth model. - Ivan Ezhov; Tudor Mot; Suprosanna Shit; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Fernando Navarro; Marie Metz; Benedikt Wiestler; Björn H. Menze (CoRR, 2020)

A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset. - Kelly Payette; Priscille de Dumast; Hamza Kebiri; Ivan Ezhov; Johannes C. Paetzold; Suprosanna Shit; Asim Iqbal; Romesa Khan; Raimund Kottke; Patrice Grehten; Hui Ji; Levente Lanczi; et al. (CoRR, 2020)

Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge. - Lucas Fidon; Suprosanna Shit; Ivan Ezhov; Johannes C. Paetzold; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI (2), 2021)

FedCostWAvg: A New Averaging for Better Federated Learning. - Leon Mächler; Ivan Ezhov; Florian Kofler; Suprosanna Shit; Johannes C. Paetzold; Timo Loehr; Claus Zimmer; Benedikt Wiestler; Bjoern H. Menze (BrainLes@MICCAI (2), 2021)

clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. - Suprosanna Shit; Johannes C. Paetzold; Anjany Sekuboyina; Ivan Ezhov; Alexander Unger; Andrey Zhylka; Josien P. W. Pluim; Ulrich Bauer; Bjoern H. Menze (CVPR, 2021)

Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities. - Suprosanna Shit; Dhritiman Das; Ivan Ezhov; Johannes C. Paetzold; Augusto Fava-Sanches; Nils Thuerey; Bjoern H. Menze (IPMI, 2021)

Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging. - Alina Dima; Johannes C. Paetzold; Friederike Jungmann; Tristan Lemke; Philipp Raffler; Georgios Kaissis; Daniel Rueckert; Rickmer Braren (MLMI@MICCAI, 2021)

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience. - Johannes C. Paetzold; Julian McGinnis; Suprosanna Shit; Ivan Ezhov; Paul Büschl; Chinmay Prabhakar; Anjany Sekuboyina; Mihail I. Todorov; Georgios Kaissis; Ali Ertürk; Stephan Günnemann; Bjoern H. Menze (NeurIPS Datasets and Benchmarks, 2021)

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference. - Fabian Balsiger; Alain Jungo; Naren Akash R. J; Jianan Chen 001; Ivan Ezhov; Shengnan Liu; Jun Ma 016; Johannes C. Paetzold; Vishva Saravanan R; Anjany Sekuboyina; Suprosanna Shit; Yannick Suter; et al. (CoRR, 2021)

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient. - Florian Kofler; Ivan Ezhov; Fabian Isensee; Fabian Balsiger; Christoph Berger; Maximilian Koerner; Johannes C. Paetzold; Hongwei Li 004; Suprosanna Shit; Richard McKinley; Spyridon Bakas; Claus Zimmer; et al. (CoRR, 2021)

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph). - Johannes C. Paetzold; Julian McGinnis; Suprosanna Shit; Ivan Ezhov; Paul Büschl; Chinmay Prabhakar; Mihail I. Todorov; Anjany Sekuboyina; Georgios Kaissis; Ali Ertürk; Stephan Günnemann; Bjoern H. Menze (CoRR, 2021)

Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations. - Suprosanna Shit; Ivan Ezhov; Leon Mächler; Abinav R.; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Marie Piraud; Bjoern H. Menze (CoRR, 2021)

A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images. - Giles Tetteh; Fernando Navarro; Johannes C. Paetzold; Jan Kirschke; Claus Zimmer; Bjoern H. Menze (CoRR, 2021)

FedCostWAvg: A new averaging for better Federated Learning. - Leon Mächler; Ivan Ezhov; Florian Kofler; Suprosanna Shit; Johannes C. Paetzold; Timo Loehr; Benedikt Wiestler; Bjoern H. Menze (CoRR, 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. - Florian Kofler; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Ezequiel de la Rosa; John LaMaster; Hongwei Li 004; Tom Finck; Suprosanna Shit; Johannes C. Paetzold; Spyridon Bakas; Marie Piraud; et al. (BrainLes@MICCAI, 2022)

FedPIDAvg: A PID Controller Inspired Aggregation Method for Federated Learning. - Leon Mächler; Ivan Ezhov; Suprosanna Shit; Johannes C. Paetzold (BrainLes@MICCAI (2), 2022)

Unsupervised Anomaly Localization with Structural Feature-Autoencoders. - Felix Meissen; Johannes C. Paetzold; Georgios Kaissis; Daniel Rueckert (BrainLes@MICCAI, 2022)

Relationformer: A Unified Framework for Image-to-Graph Generation. - Suprosanna Shit; Rajat Koner; Bastian Wittmann; Johannes C. Paetzold; Ivan Ezhov; Hongwei Li 004; Jiazhen Pan; Sahand Sharifzadeh; Georgios Kaissis; Volker Tresp; Bjoern H. Menze (ECCV (37), 2022)

Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs. - Chinmay Prabhakar; Anjany Sekuboyina; Hongwei Bran Li; Johannes C. Paetzold; Suprosanna Shit; Tamaz Amiranashvili; Jens Kleesiek; Bjoern H. Menze (GeoMedIA, 2022)

Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias. - Linus Kreitner; Ivan Ezhov; Daniel Rueckert; Johannes C. Paetzold; Martin J. Menten (MIDOG/DRAC@MICCAI, 2022)

Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs. - Martin J. Menten; Johannes C. Paetzold; Alina Dima; Bjoern H. Menze; Benjamin Knier; Daniel Rueckert (MICCAI (8), 2022)

Can Collaborative Learning Be Private, Robust and Scalable? - Dmitrii Usynin; Helena Klause; Johannes C. Paetzold; Daniel Rueckert; Georgios Kaissis (DeCaF/FAIR@MICCAI, 2022)

A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling. - Ivan Ezhov; Marcel Rosier; Lucas Zimmer; Florian Kofler; Suprosanna Shit; Johannes C. Paetzold; Kevin Scibilia; Felix Steinbauer; Leon Mächler; Katharina Franitza; Tamaz Amiranashvili; Martin J. Menten; et al. (ML4H@NeurIPS, 2022)

METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. - Izabela Horvath; Johannes C. Paetzold; Oliver Schoppe; Rami Al-Maskari; Ivan Ezhov; Suprosanna Shit; Hongwei Li 004; Ali Ertürk; Bjoern H. Menze (WACV, 2022)

Differentially Private Graph Classification with GNNs. - Tamara T. Mueller; Johannes C. Paetzold; Chinmay Prabhakar; Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

SoK: Differential Privacy on Graph-Structured Data. - Tamara T. Mueller; Dmitrii Usynin; Johannes C. Paetzold; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

Casting the inverse problem as a database query. The case of personalized tumor growth modeling. - Ivan Ezhov; Marcel Rosier; Lucas Zimmer; Florian Kofler; Suprosanna Shit; Johannes C. Paetzold; Kevin Scibilia; Leon Mächler; Katharina Franitza; Tamaz Amiranashvili; Marie Metz; Sailesh Conjeti; et al. (CoRR, 2022)

A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images. - Hongwei Bran Li; Chinmay Prabhakar; Suprosanna Shit; Johannes C. Paetzold; Tamaz Amiranashvili; Jianguo Zhang 001; Daniel Rueckert; Juan Eugenio Iglesias; Benedikt Wiestler; Bjoern H. Menze (CoRR, 2022)

SRflow: Deep learning based super-resolution of 4D-flow MRI data. - Suprosanna Shit; Judith Zimmermann; Ivan Ezhov; Johannes C. Paetzold; Augusto Fava-Sanches; Carolin M. Pirkl; Bjoern H. Menze (Frontiers Artif. Intell., 2022)

Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. - Ivan Ezhov; Tudor Mot; Suprosanna Shit; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Chantal Pellegrini; Marcel Kollovieh; Fernando Navarro; Hongwei Li 004; Marie Metz; Benedikt Wiestler; et al. (IEEE Trans. Medical Imaging, 2022)

A skeletonization algorithm for gradient-based optimization. - Martin J. Menten; Johannes C. Paetzold; Veronika A. Zimmer; Suprosanna Shit; Ivan Ezhov; Robbie Holland; Monika Probst; Julia A. Schnabel; Daniel Rueckert (ICCV, 2023)

Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes. - Nico Stucki; Johannes C. Paetzold; Suprosanna Shit; Bjoern H. Menze; Ulrich Bauer (ICML, 2023)

Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration. - Robbie Holland; Oliver Leingang; Christopher Holmes; Philipp Anders; Rebecca Kaye; Sophie Riedl; Johannes C. Paetzold; Ivan Ezhov; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Hendrik P. N. Scholl; Sobha Sivaprasad; et al. (MICCAI (7), 2023)

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. - Chinmay Prabhakar; Hongwei Bran Li; Johannes C. Paetzold; Timo Loehr; Chen Niu; Mark Mühlau; Daniel Rueckert; Benedikt Wiestler; Bjoern H. Menze (MICCAI (8), 2023)

Vesselformer: Towards Complete 3D Vessel Graph Generation from Images. - Chinmay Prabhakar; Suprosanna Shit; Johannes C. Paetzold; Ivan Ezhov; Rajat Koner; Hongwei Li 004; Florian Sebastian Kofler; Bjoern H. Menze (MIDL, 2023)

Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration. - Robbie Holland; Oliver Leingang; Christopher Holmes; Philipp Anders; Johannes C. Paetzold; Rebecca Kaye; Sophie Riedl; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Lars Fritsche; Hendrik P. N. Scholl; Sobha Sivaprasad; et al. (CoRR, 2023)

Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs. - Linus Kreitner; Johannes C. Paetzold; Nikolaus Rauch; Chen Chen 042; Ahmed M. Hagag; Alaa E. Fayed; Sobha Sivaprasad; Sebastian Rausch; Julian Weichsel; Bjoern H. Menze; Matthias Harders; Benjamin Knier; et al. (CoRR, 2023)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; et al. (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling. - Ivan Ezhov; Kevin Scibilia; Katharina Franitza; Felix Steinbauer; Suprosanna Shit; Lucas Zimmer; Jana Lipková; Florian Kofler; Johannes C. Paetzold; Luca Canalini; Diana Waldmannstetter; Martin J. Menten; et al. (Medical Image Anal., 2023)

Whole Brain Vasculature Analysis Using Advanced Learning Models (Fortgeschrittene Machine Learning Konzepte für die Analyse der Blutgefäße des Hirns) - Johannes C. Paetzold (2023)

Differentially Private Graph Neural Networks for Whole-Graph Classification. - Tamara T. Mueller; Johannes C. Paetzold; Chinmay Prabhakar; Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Supervised Contrastive Learning for Image-to-Graph Transformers. - Anna Banaszak; Alexander H. Berger; Laurin Lux; Suprosanna Shit; Daniel Rueckert; Johannes C. Paetzold (GRAIL@MICCAI, 2024)

Topologically Faithful Multi-class Segmentation in Medical Images. - Alexander H. Berger; Laurin Lux; Nico Stucki; Vincent Bürgin; Suprosanna Shit; Anna Banaszak; Daniel Rueckert; Ulrich Bauer; Johannes C. Paetzold (MICCAI (8), 2024)

Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data. - Robert Graf; Florian Hunecke; Soeren Pohl; Matan Atad; Hendrik Kristian Möller; Sophie Starck; Thomas Kröncke; Stefanie Bette; Fabian Bamberg; Tobias Pischon; Thoralf Niendorf; Carsten Oliver Schmidt; et al. (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Exploring Graphs as Data Representation for Disease Classification in Ophthalmology. - Laurin Lux; Alexander H. Berger; Maria Romeo Tricas; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (GRAIL@MICCAI, 2024)

3D Vessel Graph Generation Using Denoising Diffusion. - Chinmay Prabhakar; Suprosanna Shit; Fabio Musio; Kaiyuan Yang 003; Tamaz Amiranashvili; Johannes C. Paetzold; Hongwei Bran Li; Bjoern H. Menze (MICCAI (11), 2024)

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images. - Bastian Wittmann; Lukas Glandorf; Johannes C. Paetzold; Tamaz Amiranashvili; Thomas Wälchli; Daniel Razansky; Bjoern H. Menze (MICCAI (8), 2024)

Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation. - Robert Graf; Hendrik Kristian Möller; Julian McGinnis; Sebastian Rühling; Maren Weihrauch; Matan Atad; Suprosanna Shit; Bjoern H. Menze; Mark Mühlau; Johannes C. Paetzold; Daniel Rueckert; Jan Kirschke (MIDL, 2024)

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization. - Michal Balcerak; Tamaz Amiranashvili; Andreas Wagner; Jonas Weidner; Petr Karnakov; Johannes C. Paetzold; Ivan Ezhov; Petros Koumoutsakos; Benedikt Wiestler; Bjoern H. Menze (NeurIPS, 2024)

Link Prediction for Flow-Driven Spatial Networks. - Bastian Wittmann; Johannes C. Paetzold; Chinmay Prabhakar; Daniel Rueckert; Bjoern H. Menze (WACV, 2024)

Surface Normal Estimation with Transformers. - Barry Shichen Hu; Siyun Liang; Johannes C. Paetzold; Huy H. Nguyen; Isao Echizen; Jiapeng Tang (CoRR, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images. - Robert Graf; Paul-Sören Platzek; Evamaria Olga Riedel; Constanze Ramschütz; Sophie Starck; Hendrik Kristian Möller; Matan Atad; Henry Völzke; Robin Bülow; Carsten Oliver Schmidt; Julia Rüdebusch; Matthias Jung 005; et al. (CoRR, 2024)

Efficient Betti Matching Enables Topology-Aware 3D Segmentation via Persistent Homology. - Nico Stucki; Vincent Bürgin; Johannes C. Paetzold; Ulrich Bauer (CoRR, 2024)

FedPID: An Aggregation Method for Federated Learning. - Leon Mächler; Gustav Grimberg; Ivan Ezhov; Manuel Nickel; Suprosanna Shit; David Naccache; Johannes C. Paetzold (CoRR, 2024)

Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results. - Tamara T. Mueller; Dmitrii Usynin; Johannes C. Paetzold; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (J. Priv. Confidentiality, 2024)

Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers. - Hailong He; Johannes C. Paetzold; Nils Börner; Erik Riedel; Stefan Gerl; Simon Schneider; Chiara Fisher; Ivan Ezhov; Suprosanna Shit; Hongwei Li 004; Daniel Rückert; Juan Aguirre; et al. (IEEE Trans. Medical Imaging, 2024)

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations. - Linus Kreitner; Johannes C. Paetzold; Nikolaus Rauch; Chen Chen 042; Ahmed M. Hagag; Alaa E. Fayed; Sobha Sivaprasad; Sebastian Rausch; Julian Weichsel; Bjoern H. Menze; Matthias Harders; Benjamin Knier; et al. (IEEE Trans. Medical Imaging, 2024)

Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation. - Laurin Lux; Alexander H. Berger; Alexander Weers; Nico Stucki; Daniel Rueckert; Ulrich Bauer; Johannes C. Paetzold (ICLR, 2025)

Pitfalls of Topology-Aware Image Segmentation. - Alexander H. Berger; Laurin Lux; Alexander Weers; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (IPMI (1), 2025)

Skelite: Compact Neural Networks for Efficient Iterative Skeletonization. - Luis D. Reyes Vargas; Martin J. Menten; Johannes C. Paetzold; Nassir Navab; Mohammad Farid Azampour (IPMI (1), 2025)

Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers. - Alexander H. Berger; Laurin Lux; Suprosanna Shit; Ivan Ezhov; Georgios Kaissis; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (WACV, 2025)

SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation. - Ying Chen; Rami Al-Maskari; Izabela Horvath; Mayar Ali; Luciano Höher; Kaiyuan Yang 003; Zengming Lin; Zhiwei Zhai; Mengzhe Shen; Dejin Xun; Yi Wang; Tony Xu; et al. (CoRR, 2025)

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI. - Robert Graf; Hendrik Kristian Möller; Sophie Starck; Matan Atad; Philipp Braun; Jonathan K. Stelter; Annette Peters; Lilian Krist; Stefan Willich; Henry Völzke; Robin Bülow; Klaus Berger; et al. (CoRR, 2025)

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations. - Laurin Lux; Alexander H. Berger; Maria Romeo Tricas; Alaa E. Fayed; Sobha Sivaprasad; Linus Kreitner; Jonas Weidner; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (CoRR, 2025)

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis. - Chenjun Li; Laurin Lux; Alexander H. Berger; Martin J. Menten; Mert R. Sabuncu; Johannes C. Paetzold (CoRR, 2025)

From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis. - Alexander Weers; Alexander H. Berger; Laurin Lux; Peter Schüffler; Daniel Rueckert; Johannes C. Paetzold (CoRR, 2025)

Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohort. - Hendrik Kristian Möller; Hanna Schön; Alina Dima; Benjamin Keinert-Weth; Robert Graf; Matan Atad; Johannes C. Paetzold; Friederike Jungmann; Rickmer Braren; Florian Kofler; Bjoern H. Menze; Daniel Rueckert; et al. (CoRR, 2025)

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic. - Liu Li; Qiang Ma 004; Cheng Ouyang; Johannes C. Paetzold; Daniel Rueckert; Bernhard Kainz (CoRR, 2025)