Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging

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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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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