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Learning Interpretable Regularized Ordinal Models from 3D M..:

, In: Lecture Notes in Computer Science; Machine Learning in Clinical Neuroimaging,

Zhao, Yuji ; Laansma, Max A. ; van Heese, Eva M.... - p. 115-124 , 2022

Link: https://doi.org/10.1007/978-3-031-17899-3_12

RT 
T1 <cTitle>Lecture Notes in Computer Science; Machine Learning in Clinical Neuroimaging</cTitle>: T1 <Title>Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging</Title>

UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-031-17899-3_12&Exemplar=1&LAN=DE
				
A1 Zhao, Yuji
A1 Laansma, Max A.
A1 van Heese, Eva M.
A1 Owens-Walton, Conor
A1 Parkes, Laura M.
A1 Debove, Ines
A1 Rummel, Christian
A1 Wiest, Roland
A1 Cendes, Fernando
A1 Guimaraes, Rachel
A1 Yasuda, Clarissa Lin
A1 Wang, Jiun-Jie
A1 Anderson, Tim J.
A1 Dalrymple-Alford, John C.
A1 Melzer, Tracy R.
A1 Pitcher, Toni L.
A1 Schmidt, Reinhold
A1 Schwingenschuh, Petra
A1 Garraux, Gäetan
A1 Rango, Mario
A1 Squarcina, Letizia
A1 Al-Bachari, Sarah
A1 Emsley, Hedley C. A.
A1 Klein, Johannes C.
A1 Mackay, Clare E.
A1 Dirkx, Michiel F.
A1 Helmich, Rick
A1 Assogna, Francesca
A1 Piras, Fabrizio
A1 Bright, Joanna K.
A1 Spalletta, Gianfranco
A1 Poston, Kathleen
A1 Lochner, Christine
A1 McMillan, Corey T.
A1 Weintraub, Daniel
A1 Druzgal, Jason
A1 Newman, Benjamin
A1 Van Den Heuvel, Odile A.
A1 Jahanshad, Neda
A1 Thompson, Paul M.
A1 van der Werf, Ysbrand D.
A1 Gutman, Boris
A1 for the ENIGMA consortium
PB Springer Nature Switzerland
YR 2022
SP 115
OP 124
LK http://dx.doi.org/https://doi.org/10.1007/978-3-031-17899-3_12
DO https://doi.org/10.1007/978-3-031-17899-3_12
SF ELIB - SuUB Bremen

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