Jakob Wasserthal

According to our database, Jakob Wasserthal authored at least 22 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology.

Wenxuan Li, Pedro R. A. S. Bassi, Xinze Zhou, Jakob Wasserthal, Alan L. Yuille, Zongwei Zhou

CoRR, May, 2026

2025

In search of truth: Evaluating concordance of AI-based anatomy segmentation models.

Lena Giebeler, Deepa Krishnaswamy, David A. Clunie, Jakob Wasserthal, Lalith Kumar Shiyam Sundar, Andres Diaz-Pinto, Klaus H. Maier-Hein, Murong Xu, Bjoern H. Menze, Steven D. Pieper, Ron Kikinis, Andrey Fedorov

CoRR, December, 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, Hendrik Kristian Möller, Anjany Sekuboyina, Jan C. Peeken, Anton S. Becker, Giulia Baldini, Johannes Haubold, Felix Nensa, René Hosch, Nikhil Mirajkar, Saad Khalid, Stefan Zachow, Marc-André Weber, Georg Langs, Jakob Wasserthal, Mehmet Kemal Özdemir, Andrey Fedorov, Ron Kikinis, Stephanie Tanadini-Lang, Jan S. Kirschke, Stephanie E. Combs, Bjoern H. Menze

CoRR, July, 2025

Redefining MRI-Based Skull Segmentation Through AI-Driven Multimodal Integration.

Michel Beyer, Alexander Aigner, Alexandru Burde, Alexander Brasse, Sead Abazi, Lukas B. Seifert, Jakob Wasserthal, Martin Segeroth, Mohamed Omar, Florian M. Thieringer

J. Imaging, 2025

Correction: 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, Andrew Phillip Nicoli, Victor Schulze-Zachau, Johanna Lieb, Joshy Cyriac, Michael Bach, Marios Psychogios, Matthias Anthony Mutke

J. Imaging Inform. Medicine, 2025

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, Andrew Phillip Nicoli, Victor Schulze-Zachau, Johanna Lieb, Joshy Cyriac, Michael Bach, Marios Psychogios, Matthias Anthony Mutke

J. Imaging Inform. Medicine, 2025

Intra-Individual Reproducibility of Automated Abdominal Organ Segmentation - Performance of TotalSegmentator Compared to Human Readers and an Independent nnU-Net Model.

Lorraine Abel, Jakob Wasserthal, Manfred Meyer, Jan Vosshenrich, Shan Yang, Ricardo Donners, Markus Obmann, Daniel Boll, Elmar M. Merkle, Hanns-Christian Breit, Martin Segeroth

J. Imaging Inform. Medicine, 2025

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, Michael Zellweger, Philip Haaf

Int. J. Biomed. Imaging, 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

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, Zeynep Berkarda, Alexander Rau, Marco Reisert, Thomas Küstner, Alexandra Walter, Elmar M. Merkle, Martin Segeroth, Joshy Cyriac, Shan Yang, Jakob Wasserthal

CoRR, 2024

2023

Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation.

Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, Stefan Sommer, Christoph Stuprich, Fengdan Wang, Claudia Weidensteiner, Giulia Manco, Matteo Paoletti, Valentina Mazzoli, Arjun D. Desai, Anna Pichiecchio

CoRR, 2023

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

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

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Bundle-specific tractography with machine learning.

Jakob Wasserthal

PhD thesis, 2021

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

Abstract: Tract Orientation Mapping for Bundle-Specific Tractography.

Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

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

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

TractSeg - Fast and accurate white matter tract segmentation.

Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein

NeuroImage, 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

Tract Orientation Mapping for Bundle-Specific Tractography.

Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Advanced Deep Learning Methods.

Paul Jäger, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, Klaus Hermann Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Direct White Matter Bundle Segmentation using Stacked U-Nets.

Jakob Wasserthal, Peter F. Neher, Fabian Isensee, Klaus H. Maier-Hein

CoRR, 2017