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)

Neural Parameters Estimation for Brain Tumor Growth Modeling. - Ivan Ezhov; Jana Lipková; Suprosanna Shit; Florian Kofler; Nora Collomb; Benjamin Lemasson; Emmanuel Luc Barbier; Bjoern H. Menze (MICCAI (2), 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 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)

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)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 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)

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)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (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 ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; et al. (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)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). - Maruf Adewole; Jeffrey D. Rudie; Anu Gbadamosi; Oluyemisi Toyobo; Raymond Confidence; Dong Zhang 009; Olubukola Omidiji; Rachel Akinola; Mohammad Abba Suwaid; Adaobi Emegoakor; Nancy Ojo; Kenneth Aguh; et al. (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)

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)

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)

Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. - Alicia Durrer; Julia Wolleb; Florentin Bieder; Paul Friedrich 002; Lester Melie-García; Mario Ocampo-Pineda; Cosmin I. Bercea; Ibrahim Ethem Hamamci; Benedikt Wiestler; Marie Piraud; Özgür Yaldizli; Cristina Granziera; et al. (DGM4MICCAI@MICCAI, 2024)

MultiOrg: A Multi-rater Organoid-detection Dataset. - Christina Bukas; Harshavardhan Subramanian; Fenja See; Carina Steinchen; Ivan Ezhov; Gowtham Boosarpu; Sara Asgharpour; Gerald Burgstaller; Mareike Lehmann; Florian Kofler; Marie Piraud (NeurIPS, 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)

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)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Deep Gandhi; Xinyang Liu; Zhifan Jiang; Syed Muhammed Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2024)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (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)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (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)

Improving the Precision of CNNs for Magnetic Resonance Spectral Modeling. - John LaMaster; Dhritiman Das; Florian Kofler; Jason C. Crane; Yan Li; Tobias Lasser; Bjoern H. Menze (CoRR, 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. - Lucas Fidon; Michael Aertsen; Florian Kofler; Andrea Bink; Anna L. David; Thomas Deprest; Doaa Emam; Frédéric Guffens; András Jakab; Gregor Kasprian; Patric Kienast; Andrew Melbourne; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Brain Tumor Sequence Registration (BraTS-Reg) Challenge Dataset. - Bhakti Baheti; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; Brandon K. K. Fields; et al. (Zenodo, 2025)

A Learnable Prior Improves Inverse Tumor Growth Modeling. - Jonas Weidner; Ivan Ezhov; Michal Balcerak; Marie-Christin Metz; Sergey Litvinov; Sebastian Kaltenbach; Leonhard F. Feiner; Laurin Lux; Florian Kofler; Jana Lipková; Jonas Latz; Daniel Rueckert; et al. (IEEE Trans. Medical Imaging, 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)

fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting. - Alicia Durrer; Florentin Bieder; Paul Friedrich 002; Bjoern H. Menze; Philippe C. Cattin; Florian Kofler (CoRR, 2025)

Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset. - Arianna Piffer; Josef A. Buchner; Gennari Antonio Giulio; Patrice Grehten; S. Sirin; E. Ross; Ivan Ezhov; Marcel Rosier; Jan Peeken; Marie Piraud; Bjoern H. Menze; A. Guerreiro Stücklin; et al. (CoRR, 2025)