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Jakob Wasserthal
Jakob Wasserthal
German Cancer Research Center, University Hospital Basel
Bestätigte E-Mail-Adresse bei usb.ch
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Zitiert von
Zitiert von
Jahr
nnu-net: Self-adapting framework for u-net-based medical image segmentation
F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ...
arXiv preprint arXiv:1809.10486, 2018
6432018
TractSeg-Fast and accurate white matter tract segmentation
J Wasserthal, P Neher, KH Maier-Hein
NeuroImage 183, 239-253, 2018
3412018
Combined tract segmentation and orientation mapping for bundle-specific tractography
J Wasserthal, PF Neher, D Hirjak, KH Maier-Hein
Medical image analysis 58, 101559, 2019
932019
Tract orientation mapping for bundle-specific tractography
J Wasserthal, PF Neher, KH Maier-Hein
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
492018
Tractography reproducibility challenge with empirical data (TraCED): the 2017 ISMRM diffusion study group challenge
V Nath, KG Schilling, P Parvathaneni, Y Huo, JA Blaber, AE Hainline, ...
Journal of Magnetic Resonance Imaging 51 (1), 234-249, 2020
402020
Multiparametric mapping of white matter microstructure in catatonia
J Wasserthal, KH Maier-Hein, PF Neher, G Northoff, KM Kubera, S Fritze, ...
Neuropsychopharmacology 45 (10), 1750-1757, 2020
392020
batchgenerators—a python framework for data augmentation
F Isensee, P Jäger, J Wasserthal, D Zimmerer, J Petersen, S Kohl, ...
Zenodo, 3632567, 2020
312020
TotalSegmentator: robust segmentation of 104 anatomical structures in CT images
J Wasserthal, M Meyer, HC Breit, J Cyriac, S Yang, M Segeroth
arXiv preprint arXiv:2208.05868, 2022
212022
batchgenerators—a python framework for data augmentation. 2020
F Isensee, P Jäger, J Wasserthal, D Zimmerer, J Petersen, S Kohl
DOI: https://doi. org/10.5281/zenodo 3632567, 2020
112020
nnU-Net: self-adapting framework for U-Net-based medical image segmentation. 2018
F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ...
arXiv preprint arXiv:1809.10486, 1809
111809
Automated detection of pancreatic cystic lesions on CT using deep learning
L Abel, J Wasserthal, T Weikert, AW Sauter, I Nesic, M Obradovic, S Yang, ...
Diagnostics 11 (5), 901, 2021
92021
Differentiating axonal loss and demyelination in chronic MS lesions: A novel approach using single streamline diffusivity analysis
S Klistorner, MH Barnett, J Wasserthal, C Yiannikas, J Barton, J Parratt, ...
PLoS One 16 (1), e0244766, 2021
72021
White matter microstructure alterations in cortico-striatal networks are associated with parkinsonism in schizophrenia spectrum disorders
J Wasserthal, KH Maier-Hein, PF Neher, RC Wolf, G Northoff, ...
European Neuropsychopharmacology 50, 64-74, 2021
62021
Direct white matter bundle segmentation using stacked u-nets
J Wasserthal, PF Neher, F Isensee, KH Maier-Hein
arXiv preprint arXiv:1703.02036, 2017
62017
Potential of Stroke Imaging Using a New Prototype of Low-Field MRI: A Prospective Direct 0.55 T/1.5 T Scanner Comparison
T Rusche, HC Breit, M Bach, J Wasserthal, J Gehweiler, S Manneck, ...
Journal of Clinical Medicine 11 (10), 2798, 2022
52022
Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation
F Santini, J Wasserthal, A Agosti, X Deligianni, KR Keene, HE Kan, ...
arXiv preprint arXiv:2302.06352, 2023
12023
Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks
M Zenk, D Zimmerer, F Isensee, PF Jäger, J Wasserthal, K Maier-Hein
Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022
12022
Advanced deep learning methods
P Jäger, F Isensee, J Petersen, D Zimmerer, J Wasserthal, KH Maier-Hein
Bildverarbeitung für die Medizin 2018: Algorithmen-Systeme-Anwendungen …, 2018
12018
Machine Learning for Onset Prediction of Patients with Intracerebral Hemorrhage
T Rusche, J Wasserthal, HC Breit, U Fischer, R Guzman, J Fiehler, ...
Journal of Clinical Medicine 12 (7), 2631, 2023
2023
Prospective Assessment of Cerebral Microbleeds with Low-Field Magnetic Resonance Imaging (0.55 Tesla MRI)
T Rusche, HC Breit, M Bach, J Wasserthal, J Gehweiler, S Manneck, ...
Journal of Clinical Medicine 12 (3), 1179, 2023
2023
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