Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging
Year: 2022
Type: conference-paper
Authors: Yuji Zhao, Max A. Laansma, Eva M. van Heese, Conor Owens-Walton, Laura M. Parkes, Ines Debove, Christian Rummel, Roland Wiest, Fernando Cendes, Rachel Guimaraes, Clarissa Lin Yasuda, Jiun-Jie Wang, Tim J. Anderson, John C. Dalrymple-Alford, Tracy R. Melzer, Toni L. Pitcher, Reinhold Schmidt, Petra Schwingenschuh, Gäetan Garraux, Mario Rango, Letizia Squarcina, Sarah Al-Bachari, Hedley C. A. Emsley, Johannes C. Klein, Clare E. Mackay, Michiel F. Dirkx, Rick Helmich, Francesca Assogna, Fabrizio Piras, Joanna K. Bright, Gianfranco Spalletta, Kathleen Poston, Christine Lochner, Corey T. McMillan, Daniel Weintraub, Jason Druzgal, Benjamin Newman, Odile A. Van Den Heuvel, Neda Jahanshad, Paul M. Thompson, Ysbrand D. van der Werf, Boris Gutman, for the ENIGMA consortium
Institutions: Illinois Institute of Technology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, University of Southern California, University of Manchester, University of Bern, University Hospital of Bern, Universidade Estadual de Campinas (UNICAMP), Chang Gung University, University of Otago, University of Canterbury, New Zealand Brain Research Institute, Medical University of Graz, University of Liège, University of Milan, University of Oxford, Radboud University Nijmegen, Fondazione Santa Lucia, Stellenbosch University, University of Pennsylvania, University of Virginia
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4312480901