Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models. - Esther Alberts; Markus Rempfler; Georgina Alber; Thomas Huber; Jan Kirschke; Claus Zimmer; Bjoern H. Menze (ISBI, 2016)

Attention-Driven Deep Learning for Pathological Spine Segmentation. - Anjany Sekuboyina; Jan Kukacka; Jan S. Kirschke; Bjoern H. Menze; Alexander Valentinitsch (MSKI@MICCAI, 2017)

A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets. - Anjany Sekuboyina; Alexander Valentinitsch; Jan S. Kirschke; Bjoern H. Menze (CoRR, 2017)

Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. - Hongwei Li 004; Jianguo Zhang 001; Mark Mühlau; Jan Kirschke; Bjoern H. Menze (BrainLes@MICCAI (1), 2018)

Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. - Anjany Sekuboyina; Markus Rempfler; Jan Kukacka; Giles Tetteh; Alexander Valentinitsch; Jan S. Kirschke; Bjoern H. Menze (MICCAI (4), 2018)

DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes. - Giles Tetteh; Velizar Efremov; Nils D. Forkert; Matthias Schneider 002; Jan Kirschke; Bruno Weber; Claus Zimmer; Marie Piraud; Bjoern H. Menze (CoRR, 2018)

Robust and parallel scalable iterative solutions for large-scale finite cell analyses. - John N. Jomo; Frits de Prenter; Mohamed Elhaddad; Davide D'Angella; Clemens Verhoosel; Stefan Kollmannsberger; Jan S. Kirschke; Vera Nübel; Harald van Brummelen; Ernst Rank (CoRR, 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

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)

A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. - Ezequiel de la Rosa; Diana Maria Sima; Thijs Vande Vyvere; Jan S. Kirschke; Björn H. Menze (ISBI, 2019)

Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape. - Amirhossein Bayat; Anjany Sekuboyina; Felix Hofmann; Malek El Husseini; Jan S. Kirschke; Bjoern H. Menze (CSI@MICCAI, 2019)

Conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures. - Malek El Husseini; Anjany Sekuboyina; Amirhossein Bayat; Bjoern H. Menze; Maximilian Löffler; Jan S. Kirschke (CSI@MICCAI, 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)

Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. - Anjany Sekuboyina; Markus Rempfler; Alexander Valentinitsch; Maximilian Löffler; Jan S. Kirschke; Bjoern H. Menze (MICCAI (6), 2019)

Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations. - Anjany Sekuboyina; Markus Rempfler; Alexander Valentinitsch; Jan S. Kirschke; Bjoern H. Menze (CoRR, 2019)

Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement. - Amirhossein Bayat; Suprosanna Shit; Adrian Kilian; Jürgen T. Liechtenstein; Jan S. Kirschke; Bjoern H. Menze (AutoImplant@MICCAI, 2020)

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)

Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection. - Malek El Husseini; Anjany Sekuboyina; Maximilian Löffler; Fernando Navarro; Bjoern H. Menze; Jan S. Kirschke (MICCAI (6), 2020)

Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns. - Maximilian Möller; Matthias Kohl; Stefan Braunewell; Florian Kofler; Benedikt Wiestler; Jan S. Kirschke; Björn H. Menze; Marie Piraud (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging. - Hanwool Park; Amirhossein Bayat; Mohammad Sabokrou; Jan S. Kirschke; Bjoern H. Menze (PRIME@MICCAI, 2020)

Differentiable Deconvolution for Improved Stroke Perfusion Analysis. - Ezequiel de la Rosa; David Robben; Diana Maria Sima; Jan S. Kirschke; Bjoern H. Menze (MICCAI (7), 2020)

Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment. - Diana Waldmannstetter; Fernando Navarro; Benedikt Wiestler; Jan S. Kirschke; Anjany Sekuboyina; Ester Molero; Bjoern H. Menze (WBIR, 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)

Patient-Specific Virtual Spine Straightening and Vertebra Inpainting: An Automatic Framework for Osteoplasty Planning. - Christina Bukas; Bailiang Jian; Luis F. Rodriguez Venegas; Francesca De Benetti; Sebastian Ruehling; Anjany Sekuboyina; Jens Gempt; Jan S. Kirschke; Marie Piraud; Johannes Oberreuter; Nassir Navab; Thomas Wendler 001 (MICCAI (4), 2021)

Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. - Hongwei Li 004; Sunita Gopal; Anjany Sekuboyina; Jianguo Zhang 001; Chen Niu; Carolin M. Pirkl; Jan Kirschke; Benedikt Wiestler; Bjoern H. Menze (UNSURE/PIPPI@MICCAI, 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)

A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data. - Hans Liebl; David Schinz; Anjany Sekuboyina; Luca Malagutti; Maximilian T. Löffler; Amirhossein Bayat; Malek El Husseini; Giles Tetteh; Katharina Grau; Eva Niederreiter; Thomas Baum; Benedikt Wiestler; et al. (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)

AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning. - Ezequiel de la Rosa; Diana Maria Sima; Bjoern H. Menze; Jan S. Kirschke; David Robben (Medical Image Anal., 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)

Interpretable Vertebral Fracture Diagnosis. - Paul Engstler; Matthias Keicher; David Schinz; Kristina Mach; Alexandra S. Gersing; Sarah C. Foreman; Sophia S. Goller; Juergen Weissinger; Jon Rischewski; Anna-Sophia Dietrich; Benedikt Wiestler; Jan S. Kirschke; et al. (iMIMIC@MICCAI, 2022)

Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine. - Bailiang Jian; Mohammad Farid Azampour; Francesca De Benetti; Johannes Oberreuter; Christina Bukas; Alexandra S. Gersing; Sarah C. Foreman; Anna-Sophia Dietrich; Jon Rischewski; Jan S. Kirschke; Nassir Navab; Thomas Wendler 001 (MICCAI (6), 2022)

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. - Moritz Roman Hernandez Petzsche; Ezequiel de la Rosa; Uta Hanning; Roland Wiest; Waldo Enrique Valenzuela Pinilla; Mauricio Reyes 001; Maria Inês Meyer; Sook-Lei Liew; Florian Kofler; Ivan Ezhov; David Robben; Alexandre Hutton; et al. (CoRR, 2022)

CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN. - Matan Atad; Vitalii Dmytrenko; Yitong Li; Xinyue Zhang; Matthias Keicher; Jan Kirschke; Benedikt Wiestler; Ashkan Khakzar; Nassir Navab (CoRR, 2022)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. - Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Daniel Rueckert; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; et al. (BrainLes/SWITCH@MICCAI, 2023)

blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation. - Florian Kofler; Suprosanna Shit; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Rami Al-Maskari; Hongwei Bran Li; Harsharan Bhatia; Timo Loehr; Marie Piraud; Ali Ertürk; Jan Kirschke; et al. (IPMI, 2023)

Approaching Peak Ground Truth. - Florian Kofler; Johannes Wahle; Ivan Ezhov; Sophia J. Wagner; Rami Al-Maskari; Emilia Gryska; Mihail I. Todorov; Christina Bukas; Felix Meissen; Tingying Peng; Ali Ertürk; Daniel Rueckert; et al. (ISBI, 2023)

Pushing the Limits of an FCN and A CRF Towards Near-Ideal Vertebrae Labelling. - Anjany Sekuboyina; Jannik Irmai; Suprosanna Shit; Jan Kirschke; Bjoern Andres; Bjoern H. Menze (ISBI, 2023)

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. - Alina F. Dima; Veronika A. Zimmer; Martin J. Menten; Hongwei Bran Li; Markus Graf; Tristan Lemke; Philipp Raffler; Robert Graf; Jan S. Kirschke; Rickmer Braren; Daniel Rueckert (MICCAI (1), 2023)

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. - Julian McGinnis; Suprosanna Shit; Hongwei Bran Li; Vasiliki Sideri-Lampretsa; Robert Graf; Maik Dannecker; Jiazhen Pan; Nil Stolt Ansó; Mark Mühlau; Jan S. Kirschke; Daniel Rueckert; Benedikt Wiestler (MICCAI (8), 2023)

Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading. - Matthias Keicher; Matan Atad; David Schinz; Alexandra S. Gersing; Sarah C. Foreman; Sophia S. Goller; Juergen Weissinger; Jon Rischewski; Anna-Sophia Dietrich; Benedikt Wiestler; Jan S. Kirschke; Nassir Navab (CoRR, 2023)

Multi-contrast MRI Super-resolution via Implicit Neural Representations. - Julian McGinnis; Suprosanna Shit; Hongwei Bran Li; Vasiliki Sideri-Lampretsa; Robert Graf; Maik Dannecker; Jiazhen Pan; Nil Stolt Ansó; Mark Mühlau; Jan S. Kirschke; Daniel Rueckert; Benedikt Wiestler (CoRR, 2023)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. - Diana Waldmannstetter; Florian Kofler; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Daniel Rueckert; Jan S. Kirschke; Marie Piraud; Bjoern H. Menze (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks. - Qingqiao Hu; Hao Wang 005; Jing Luo; Yunhao Luo 001; Zhiheng Zhang; Jan S. Kirschke; Benedikt Wiestler; Bjoern H. Menze; Jianguo Zhang 001; Hongwei Bran Li (CoRR, 2023)

Framing image registration as a landmark detection problem for better representation of clinical relevance. - Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; Florian Kofler; et al. (CoRR, 2023)

Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations. - Robert Graf; Joachim Schmitt; Sarah Schlaeger; Hendrik Kristian Möller; Vasiliki Sideri-Lampretsa; Anjany Sekuboyina; Sandro Manuel Krieg; Benedikt Wiestler; Bjoern H. Menze; Daniel Rueckert; Jan Stefan Kirschke (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

Panoptica - instance-wise evaluation of 3D semantic and instance segmentation maps. - Florian Kofler; Hendrik Kristian Möller; Josef A. Buchner; Ezequiel de la Rosa; Ivan Ezhov; Marcel Rosier; Isra Mekki; Suprosanna Shit; Moritz Negwer; Rami Al-Maskari; Ali Ertürk; Shankeeth Vinayahalingam; 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)

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)

Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis. - Lukas Buess; Marijn F. Stollenga; David Schinz; Benedikt Wiestler; Jan Kirschke; Andreas K. Maier; Nassir Navab; Matthias Keicher (MIDL, 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)

Numerical simulation of endovascular treatment options for cerebral aneurysms. - Martin Frank; Fabian Holzberger; Medeea Horvat; Jan Kirschke; Matthias Mayr; Markus Muhr; Natalia Nebulishvili; Alexander Popp; Julian Schwarting; Barbara I. Wohlmuth (CoRR, 2024)

SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation. - Hendrik Kristian Möller; Robert Graf; Joachim Schmitt; Benjamin Keinert; Matan Atad; Anjany Sekuboyina; Felix Streckenbach; Hanna Schön; Florian Kofler; Thomas Kröncke; Stefanie Bette; Stefan Willich; et al. (CoRR, 2024)

Numerical simulation of individual coil placement - A proof-of-concept study for the prediction of recurrence after aneurysm coiling. - Julian Schwarting; Fabian Holzberger; Markus Muhr; Martin Renz; Tobias Boeckh-Behrens; Barbara I. Wohlmuth; Jan Kirschke (CoRR, 2024)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)

Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes. - Poulami Sinhamahapatra; Suprosanna Shit; Anjany Sekuboyina; Malek El Husseini; David Schinz; Nicolas Lenhart; Bjoern H. Menze; Jan Kirschke; Karsten Roscher; Stephan Günnemann (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)

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder. - Matan Atad; David Schinz; Hendrik Kristian Möller; Robert Graf; Benedikt Wiestler; Daniel Rueckert; Nassir Navab; Jan S. Kirschke; Matthias Keicher (CoRR, 2024)

Don't You (Project Around Discs)? Neural Network Surrogate and Projected Gradient Descent for Calibrating an Intervertebral Disc Finite Element Model. - Matan Atad; Gabriel Gruber; Marx Ribeiro; Luis Fernando Nicolini; Robert Graf; Hendrik Kristian Möller; Kati Nispel; Ivan Ezhov; Daniel Rueckert; Jan S. Kirschke (CoRR, 2024)

ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data. - Ezequiel de la Rosa; Ruisheng Su; Mauricio Reyes 001; Roland Wiest; Evamaria Olga Riedel; Florian Kofler; Kaiyuan Yang 003; Hakim Baazaoui; David Robben; Susanne Wegener; Jan S. Kirschke; Benedikt Wiestler; et al. (CoRR, 2024)

ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke. - Evamaria Olga Riedel; Ezequiel de la Rosa; The Anh Baran; Moritz Roman Hernandez Petzsche; Hakim Baazaoui; Kaiyuan Yang 003; David Robben; Joaquin Oscar Seia; Roland Wiest; Mauricio Reyes 001; Ruisheng Su; Claus Zimmer; et al. (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning. - Aleksandra M. Paciorek; Claudio E. von Schacky; Sarah C. Foreman; Felix G. Gassert; Florian T. Gassert; Jan S. Kirschke; Karl-Ludwig Laugwitz; Tobias Geith; Martin Hadamitzky; Jonathan Nadjiri (BMC Medical Imaging, 2024)

Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: A case study on an intervertebral disc. - Matan Atad; Gabriel Gruber; Marx Ribeiro; Luis Fernando Nicolini; Robert Graf; Hendrik Kristian Möller; Kati Nispel; Ivan Ezhov; Daniel Rueckert; Jan S. Kirschke (Comput. Biol. Medicine, 2025)

Towards quantitative intensity analysis of conventional T1-weighted images in multiple sclerosis. - Tun Wiltgen; Julian McGinnis; Ronja C. Berg; Cui Ci Voon; Oula Puonti; Katrin Giglhuber; Carl Ganter; Claus Zimmer; Bernhard Hemmer; Benedikt Wiestler; Jan Kirschke; Christine Preibisch; et al. (NeuroImage, 2025)

PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI. - Hendrik Kristian Möller; Lukas Krautschick; Matan Atad; Robert Graf; Chia-Jung Busch; Achim Beule; Christian Scharf; Lars Kaderali; Bjoern H. Menze; Daniel Rueckert; Jan Kirschke; Fabian Schwitzing (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)

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)

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Ujjwal Baid; Hendrik Kristian Möller; Josef A. Buchner; Felix Steinbauer; Eva Oswald; Ezequiel de la Rosa; Ivan Ezhov; Constantin von See; Jan Kirschke; et al. (CoRR, 2025)

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Hendrik Kristian Möller; Isra Mekki; Josef A. Buchner; Anton Schmick; Arianna Pfiffer; Eva Oswald; Lucas Zimmer; Ezequiel de la Rosa; Sarthak Pati; et al. (CoRR, 2025)

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography. - Murong Xu; Tamaz Amiranashvili; Fernando Navarro; Maksym Fritsak; Ibrahim Ethem Hamamci; Suprosanna Shit; Bastian Wittmann; Sezgin Er; Sebastian M. Christ; Ezequiel de la Rosa; Julian Deseoe; Robert Graf; et al. (CoRR, 2025)