Jakob Wasserthal

22 papers Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography. CoRR 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
2025	J	`jnl`	In search of truth: Evaluating concordance of AI-based anatomy segmentation models. CoRR 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
2025	J	`jnl`	Intra-Individual Reproducibility of Automated Abdominal Organ Segmentation - Performance of TotalSegmentator Compared to Human Readers and an Independent nnU-Net Model. J. Imaging Inform. Medicine Lorraine Abel, Jakob Wasserthal, Manfred Meyer, Jan Vosshenrich, Shan Yang, Ricardo Donners, Markus Obmann, Daniel Boll, Elmar M. Merkle, Hanns-Christian Breit, Martin Segeroth
2025	J	`jnl`	Redefining MRI-Based Skull Segmentation Through AI-Driven Multimodal Integration. J. Imaging Michel Beyer, Alexander Aigner, Alexandru Burde, Alexander Brasse, Sead Abazi, Lukas B. Seifert, Jakob Wasserthal, Martin Segeroth, Mohamed Omar, Florian M. Thieringer
2024	J	`jnl`	Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI. CoRR Ashraya K. Indrakanti, Jakob Wasserthal, Martin Segeroth, Shan Yang, Victor Schulze-Zachau, Joshy Cyriac, Michael Bach, Marios Psychogios, Matthias Anthony Mutke
2024	J	`jnl`	Noninvasive Assessment of Cardiopulmonary Hemodynamics Using Cardiovascular Magnetic Resonance Pulmonary Transit Time. Int. J. Biomed. Imaging 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
2024	J	`jnl`	TotalSegmentator MRI: Sequence-Independent Segmentation of 59 Anatomical Structures in MR images. CoRR 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
2023	J	`jnl`	Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation. CoRR 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
2022	—	`conf`	Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks. Bildverarbeitung für die Medizin Maximilian Zenk, David Zimmerer, Fabian Isensee, Paul F. Jäger, Jakob Wasserthal, Klaus H. Maier-Hein
2022	J	`jnl`	TotalSegmentator: robust segmentation of 104 anatomical structures in CT images. CoRR Jakob Wasserthal, Manfred Meyer, Hanns-Christian Breit, Joshy Cyriac, Shan Yang, Martin Segeroth
2021	—	`—`	Bundle-specific tractography with machine learning. Jakob Wasserthal
2019	—	`conf`	Abstract: Tract Orientation Mapping for Bundle-Specific Tractography. Bildverarbeitung für die Medizin Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein
2019	—	`conf`	Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. Bildverarbeitung für die Medizin 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
2019	J	`jnl`	Combined tract segmentation and orientation mapping for bundle-specific tractography. CoRR Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein
2019	J	`jnl`	Combined tract segmentation and orientation mapping for bundle-specific tractography. Medical Image Anal. Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein
2018	—	`conf`	Advanced Deep Learning Methods. Bildverarbeitung für die Medizin Paul Jäger, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, Klaus Hermann Maier-Hein
2018	—	`conf`	Tract Orientation Mapping for Bundle-Specific Tractography. MICCAI (3) Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein
2018	J	`jnl`	Tract orientation mapping for bundle-specific tractography. CoRR Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein
2018	J	`jnl`	TractSeg - Fast and accurate white matter tract segmentation. CoRR Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein
2018	J	`jnl`	TractSeg - Fast and accurate white matter tract segmentation. NeuroImage Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein
2018	J	`jnl`	nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. CoRR 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
2017	J	`jnl`	Direct White Matter Bundle Segmentation using Stacked U-Nets. CoRR Jakob Wasserthal, Peter F. Neher, Fabian Isensee, Klaus H. Maier-Hein