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)

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)

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)

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)

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)

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)