SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model. - Saikat Roy; Tassilo Wald; Gregor Köhler; Maximilian Rokuss; Nico Disch; Julius Holzschuh; David Zimmerer; Klaus H. Maier-Hein (CoRR, 2023)

Segment Anything in Medical Images with nnUNet. - Raphael Stock; Yannick Kirchhoff; Maximilian Rokuss; Ashis Ravindran; Klaus H. Maier-Hein (MedSAM@CVPR, 2024)

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. - Yannick Kirchhoff; Maximilian Rokuss; Saikat Roy; Balint Kovacs; Constantin Ulrich; Tassilo Wald; Maximilian Zenk; Philipp Vollmuth; Jens Kleesiek; Fabian Isensee; Klaus H. Maier-Hein (ECCV (77), 2024)

Scaling nnU-Net for CBCT Segmentation. - Fabian Isensee; Yannick Kirchhoff; Lars Krämer; Maximilian Rokuss; Constantin Ulrich; Klaus H. Maier-Hein (ToothFairy/3DTeethLand/STS@MICCAI, 2024)

Enhanced nnU-Net Architectures for Automated MRI Segmentation of Head and Neck Tumors in Adaptive Radiation Therapy. - Jessica Kächele; Maximilian Zenk; Maximilian Rokuss; Constantin Ulrich; Tassilo Wald; Klaus H. Maier-Hein (HNTS-MRG@MICCAI, 2024)

Efficient Pan-Cancer Lesion Segmentation from Partially Labeled Data with nnU-Net. - Yannick Kirchhoff; Maximilian Rokuss; Benjamin Hamm; Ashis Ravindran; Constantin Ulrich; Klaus H. Maier-Hein; Fabian Isensee (FLARE@MICCAI, 2024)

Efficient Cross-Modality Abdominal Organ Segmentation Using nnU-Net and MIND Descriptors. - Yannick Kirchhoff; Maximilian Rokuss; Benjamin Hamm; Ashis Ravindran; Constantin Ulrich; Klaus H. Maier-Hein; Fabian Isensee (FLARE@MICCAI, 2024)

Optimizing nnU-Net with OpenVINO for Fast CPU Inference in Abdominal Organ Segmentation. - Yannick Kirchhoff; Ashis Ravindran; Maximilian Rokuss; Benjamin Hamm; Constantin Ulrich; Klaus H. Maier-Hein; Fabian Isensee (FLARE@MICCAI, 2024)

Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting. - Maximilian Rokuss; Yannick Kirchhoff; Saikat Roy; Balint Kovacs; Constantin Ulrich; Tassilo Wald; Maximilian Zenk; Stefan Denner; Fabian Isensee; Philipp Vollmuth; Jens Kleesiek; Klaus H. Maier-Hein (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Mitigating False Predictions in Unreasonable Body Regions. - Constantin Ulrich; Catherine Knobloch; Julius Holzschuh; Tassilo Wald; Maximilian Rokuss; Maximilian Zenk; Maximilian Fischer; Michael Baumgartner 001; Fabian Isensee; Klaus H. Maier-Hein (MLMI@MICCAI (2), 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (NeurIPS, 2024)

From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging. - Maximilian Rokuss; Balint Kovacs; Yannick Kirchhoff; Shuhan Xiao; Constantin Ulrich; Klaus H. Maier-Hein; Fabian Isensee (CoRR, 2024)

Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge. - Balint Kovacs; Shuhan Xiao; Maximilian Rokuss; Constantin Ulrich; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (CoRR, 2024)

RadioActive: 3D Radiological Interactive Segmentation Benchmark. - Constantin Ulrich; Tassilo Wald; Emily Tempus; Maximilian Rokuss; Paul F. Jaeger; Klaus H. Maier-Hein (CoRR, 2024)

Abstract: Skeleton Recall Loss - Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. - Yannick Kirchhoff; Maximilian Rokuss; Saikat Roy; Balint Kovacs; Constantin Ulrich; Tassilo Wald; Maximilian Zenk; Philipp Vollmuth; Jens Kleesiek; Fabian Isensee; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2025)

Abstract: Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting. - Maximilian Rokuss; Yannick Kirchhoff; Saikat Roy; Balint Kovacs; Constantin Ulrich; Tassilo Wald; Maximilian Zenk; Stefan Denner; Fabian Isensee; Philipp Vollmuth; Jens Kleesiek; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2025)

LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging. - Maximilian Rokuss; Yannick Kirchhoff; Seval Akbal; Balint Kovacs; Saikat Roy; Constantin Ulrich; Tassilo Wald; Lukas T. Rotkopf; Heinz-Peter Schlemmer; Klaus H. Maier-Hein (CVPR, 2025)

ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models. - Wenxuan Li; Pedro R. A. S. Bassi; Tianyu Lin; Yu-Cheng Chou; Xinze Zhou; Yucheng Tang; Fabian Isensee; Kang Wang; Qi Chen; Xiaowei Xu; Xiaoxi Chen; Lizhou Wu; et al. (CoRR, 2025)

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge. - Gongning Luo; Mingwang Xu; Hongyu Chen; Xinjie Liang; Xing Tao; Dong Ni 001; Hyunsu Jeong; Chulhong Kim; Raphael Stock; Michael Baumgartner 001; Yannick Kirchhoff; Maximilian Rokuss; et al. (CoRR, 2025)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; Jonathan R. Krebs; Vishal Balaji Sivaraman; Teng Zhang; Amarjeet Kumar; Walker R. Ueland; Michael J. Fassler; Jinlong Huang; Xiao Sun; Lisheng Wang; Pengcheng Shi; Maximilian Rokuss; et al. (CoRR, 2025)

nnInteractive: Redefining 3D Promptable Segmentation. - Fabian Isensee; Maximilian Rokuss; Lars Krämer; Stefan Dinkelacker; Ashis Ravindran; Florian Stritzke; Benjamin Hamm; Tassilo Wald; Moritz Langenberg; Constantin Ulrich; Jonathan Deissler; Ralf Floca; et al. (CoRR, 2025)

Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge. - Federico Bolelli; Luca Lumetti; Shankeeth Vinayahalingam; Mattia Di Bartolomeo; Arrigo Pellacani; Kevin Marchesini; Niels van Nistelrooij; Pieter van Lierop; Tong Xi; Yusheng Liu; Rui Xin 003; Tao Yang 037; et al. (IEEE Trans. Medical Imaging, 2025)

Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation. - Maximilian Rokuss; Benjamin Hamm; Yannick Kirchhoff; Klaus H. Maier-Hein (CoRR, 2025)