Zhao, Yuji; Laansma, Max A.; van Heese, Eva M.; Owens-Walton, Conor; Parkes, Laura M.; Debove, Ines; Rummel, Christian; Wiest, Roland; Cendes, Fernando; Guimaraes, Rachel; Yasuda, Clarissa Lin; Wang, Jiun-Jie; Anderson, Tim J.; Dalrymple-Alford, John C.; Melzer, Tracy R.; Pitcher, Toni L.; Schmidt, Reinhold; Schwingenschuh, Petra; Garraux, Gäetan; Rango, Mario; ... (2022). Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. In: Machine Learning in Clinical Neuroimaging. Lecture Notes in Computer Science: Vol. 13596 (pp. 115-124). Cham: Springer Nature Switzerland 10.1007/978-3-031-17899-3_12
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978-3-031-17899-3_12.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Author holds Copyright Download (2MB) | Request a copy |
Item Type: |
Book Section (Book Chapter) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology 04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology |
UniBE Contributor: |
Debove, Ines, Rummel, Christian, Wiest, Roland Gerhard Rudi |
Subjects: |
600 Technology > 610 Medicine & health |
ISBN: |
978-3-031-17898-6 |
Series: |
Lecture Notes in Computer Science |
Publisher: |
Springer Nature Switzerland |
Language: |
English |
Submitter: |
Chantal Kottler |
Date Deposited: |
07 Dec 2022 10:54 |
Last Modified: |
23 May 2023 12:44 |
Publisher DOI: |
10.1007/978-3-031-17899-3_12 |
BORIS DOI: |
10.48350/175502 |
URI: |
https://boris.unibe.ch/id/eprint/175502 |
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