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Jakob Wasserthal
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2020 – today
- 2024
- [i8]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:
TotalSegmentator MRI: Sequence-Independent Segmentation of 59 Anatomical Structures in MR images. CoRR abs/2405.19492 (2024) - 2023
- [i7]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:
Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation. CoRR abs/2302.06352 (2023) - 2022
- [c5]Maximilian Zenk, David Zimmerer, Fabian Isensee, Paul F. Jäger, Jakob Wasserthal, Klaus H. Maier-Hein:
Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks. Bildverarbeitung für die Medizin 2022: 291-296 - [i6]Jakob Wasserthal, Manfred Meyer, Hanns-Christian Breit, Joshy Cyriac, Shan Yang, Martin Segeroth:
TotalSegmentator: robust segmentation of 104 anatomical structures in CT images. CoRR abs/2208.05868 (2022) - 2021
- [b1]Jakob Wasserthal:
Bundle-specific tractography with machine learning. University of Heidelberg, Germany, 2021
2010 – 2019
- 2019
- [j2]Jakob Wasserthal, Peter F. Neher
, Dusan Hirjak, Klaus H. Maier-Hein
:
Combined tract segmentation and orientation mapping for bundle-specific tractography. Medical Image Anal. 58 (2019) - [c4]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:
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. Bildverarbeitung für die Medizin 2019: 22 - [c3]Jakob Wasserthal, Peter F. Neher
, Klaus H. Maier-Hein:
Abstract: Tract Orientation Mapping for Bundle-Specific Tractography. Bildverarbeitung für die Medizin 2019: 30 - [i5]Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein:
Combined tract segmentation and orientation mapping for bundle-specific tractography. CoRR abs/1901.10271 (2019) - 2018
- [j1]Jakob Wasserthal, Peter Neher
, Klaus H. Maier-Hein
:
TractSeg - Fast and accurate white matter tract segmentation. NeuroImage 183: 239-253 (2018) - [c2]Paul Jäger, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, Klaus Hermann Maier-Hein:
Advanced Deep Learning Methods. Bildverarbeitung für die Medizin 2018: 6 - [c1]Jakob Wasserthal, Peter F. Neher
, Klaus H. Maier-Hein:
Tract Orientation Mapping for Bundle-Specific Tractography. MICCAI (3) 2018: 36-44 - [i4]Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein:
TractSeg - Fast and accurate white matter tract segmentation. CoRR abs/1805.07103 (2018) - [i3]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Tract orientation mapping for bundle-specific tractography. CoRR abs/1806.05580 (2018) - [i2]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:
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. CoRR abs/1809.10486 (2018) - 2017
- [i1]Jakob Wasserthal, Peter F. Neher, Fabian Isensee, Klaus H. Maier-Hein:
Direct White Matter Bundle Segmentation using Stacked U-Nets. CoRR abs/1703.02036 (2017)
Coauthor Index
aka: Klaus Hermann Maier-Hein
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last updated on 2024-06-28 23:42 CEST by the dblp team
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