Direct White Matter Bundle Segmentation using Stacked U-Nets. - Jakob Wasserthal; Peter F. Neher; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2017)

Advanced Deep Learning Methods. - Paul Jäger 002; Fabian Isensee; Jens Petersen; David Zimmerer; Jakob Wasserthal; Klaus Hermann Maier-Hein (Bildverarbeitung für die Medizin, 2018)

Tract Orientation Mapping for Bundle-Specific Tractography. - Jakob Wasserthal; Peter F. Neher; Klaus H. Maier-Hein (MICCAI (3), 2018)

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. - Fabian Isensee; Jens Petersen; André Klein; David Zimmerer; Paul F. Jaeger; Simon Kohl; Jakob Wasserthal; Gregor Köhler; Tobias Norajitra; Sebastian J. Wirkert; Klaus H. Maier-Hein (CoRR, 2018)

TractSeg - Fast and accurate white matter tract segmentation. - Jakob Wasserthal; Peter Neher; Klaus H. Maier-Hein (NeuroImage, 2018)

Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. - Fabian Isensee; Jens Petersen; André Klein; David Zimmerer; Paul F. Jaeger; Simon Kohl; Jakob Wasserthal; Gregor Köhler; Tobias Norajitra; Sebastian J. Wirkert; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2019)

Abstract: Tract Orientation Mapping for Bundle-Specific Tractography. - Jakob Wasserthal; Peter F. Neher; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2019)

Combined tract segmentation and orientation mapping for bundle-specific tractography. - Jakob Wasserthal; Peter F. Neher; Dusan Hirjak; Klaus H. Maier-Hein (Medical Image Anal., 2019)

Bundle-specific tractography with machine learning. - Jakob Wasserthal (2021)

Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks. - Maximilian Zenk; David Zimmerer; Fabian Isensee; Paul F. Jäger; Jakob Wasserthal; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2022)

TotalSegmentator: robust segmentation of 104 anatomical structures in CT images. - Jakob Wasserthal; Manfred Meyer; Hanns-Christian Breit; Joshy Cyriac; Shan Yang; Martin Segeroth (CoRR, 2022)

Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation. - Francesco Santini 002; Jakob Wasserthal; Abramo Agosti; Xeni Deligianni; Kevin R. Keene; Hermien E. Kan; Stefan Sommer; Christoph Stuprich; Fengdan Wang; Claudia Weidensteiner; Giulia Manco; Matteo Paoletti; et al. (CoRR, 2023)

TotalSegmentator MRI: Sequence-Independent Segmentation of 59 Anatomical Structures in MR images. - Tugba Akinci D'Antonoli; Lucas K. Berger; Ashraya K. Indrakanti; Nathan Vishwanathan; Jakob Weiß; Matthias Jung 004; Zeynep Berkarda; Alexander Rau; Marco Reisert; Thomas Küstner; Alexandra Walter; Elmar M. Merkle; et al. (CoRR, 2024)

Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI. - Ashraya K. Indrakanti; Jakob Wasserthal; Martin Segeroth; Shan Yang; Victor Schulze-Zachau; Joshy Cyriac; Michael Bach; Marios Psychogios; Matthias Anthony Mutke (CoRR, 2024)

Noninvasive Assessment of Cardiopulmonary Hemodynamics Using Cardiovascular Magnetic Resonance Pulmonary Transit Time. - Martin Segeroth; David Jean Winkel; Beat A. Kaufmann; Ivo Strebel; Shan Yang; Joshy Cyriac; Jakob Wasserthal; Michael Bach; Pedro Lopez-Ayala; Alexander Sauter; Christian Mueller; Jens Bremerich; et al. (Int. J. Biomed. Imaging, 2024)

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)