TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images
2023 · Radiology Artificial Intelligence · 1,069 citations
https://doi.org/10.1148/ryai.230024
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Jakob Wasserthal
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Jakob Wasserthal is an academic researcher from University of Basel. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Advanced Neuroimaging Techniques and Applications & Advanced MRI Techniques and Applications. The author has an h-index of 17, co-authored 101 publications.
ORCID: 0000-0002-9921-5698Papers by this author
worksTractSeg - Fast and accurate white matter tract segmentation
2018 · NeuroImage · 670 citations
https://doi.org/10.1016/j.neuroimage.2018.07.070
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
2019 · Informatik aktuell · 571 citations
https://doi.org/10.1007/978-3-658-25326-4_7
Combined tract segmentation and orientation mapping for bundle-specific tractography
2019 · Medical Image Analysis · 175 citations
https://doi.org/10.1016/j.media.2019.101559
<i>MedShapeNet</i> – a large-scale dataset of 3D medical shapes for computer vision
2024 · Biomedizinische Technik/Biomedical Engineering · 27 citations
https://doi.org/10.1515/bmt-2024-0396
AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis
2024 · Journal of cardiovascular computed tomography · 14 citations
https://doi.org/10.1016/j.jcct.2024.04.005
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