Jakob Wasserthal
According to our database1,
Jakob Wasserthal
authored at least 14 papers
between 2017 and 2024.
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Bibliography
2024
Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI.
CoRR, 2024
TotalSegmentator MRI: Sequence-Independent Segmentation of 59 Anatomical Structures in MR images.
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.
CoRR, 2023
2022
CoRR, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
2021
2019
Combined tract segmentation and orientation mapping for bundle-specific tractography.
Medical Image Anal., 2019
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
CoRR, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017