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)

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)

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)

Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations. - David Lüdke; Tamaz Amiranashvili; Felix Ambellan; Ivan Ezhov; Bjoern H. Menze; Stefan Zachow (MICCAI (2), 2022)

Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions. - Tamaz Amiranashvili; David Lüdke; Hongwei Bran Li; Bjoern H. Menze; Stefan Zachow (MIDL, 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)

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)

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)

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)

Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere. - Hongwei Bran Li; Cheng Ouyang; Tamaz Amiranashvili; Matthew S. Rosen; Bjoern H. Menze; Juan Eugenio Iglesias (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)

Learning continuous shape priors from sparse data with neural implicit functions. - Tamaz Amiranashvili; David Lüdke; Hongwei Bran Li; Stefan Zachow; Bjoern H. Menze (Medical Image Anal., 2024)

vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation. - Bastian Wittmann; Yannick Wattenberg; Tamaz Amiranashvili; Suprosanna Shit; Bjoern H. Menze (CVPR, 2025)

Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling. - Michal Balcerak; Tamaz Amiranashvili; Suprosanna Shit; Antonio Terpin; Sebastian Kaltenbach; Petros Koumoutsakos; Bjoern H. Menze (CoRR, 2025)

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling. - Chinmay Prabhakar; Suprosanna Shit; Tamaz Amiranashvili; Hongwei Bran Li; Bjoern H. Menze (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)