Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mwiza Kunda"'
Publikováno v:
IEEE transactions on medical imaging.
Machine learning has been widely used to develop classification models for autism spectrum disorder (ASD) using neuroimaging data. Recently, studies have shifted towards using large multi-site neuroimaging datasets to boost the clinical applicability
Publikováno v:
bioRxiv
Autism spectrum disorder (ASD) has no objective diagnosis method despite having a high prevalence. Machine learning has been widely used to develop classification models for ASD using neuroimaging data. Recently, studies have shifted towards using la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d1e6a87a70e22a3c80d2ba68a19e17c
Autor:
Nicha C. Dvornek, Jorge L. Bernal-Rusiel, Haiping Lu, Shuo Zhou, Ai Wern Chung, Keri S. Rosch, Deana Crocetti, Stewart H. Mostofsky, Islem Rekik, Mwiza Kunda, Jennings Zhang, Archana Venkataraman, Andrew Melbourne, Egor Levchenko, Minjeong Kim, Sandip Samal, Mary Beth Nebel, Neil Marlow, Sebastien Ourselin, Michael Hütel, Rudolph Pienaar, Gideon Pinto, Hassna Irzan, Markus D. Schirmer, Juntang Zhuang, Karen E. Seymour
Publikováno v:
Medical image analysis 70, 101972-(2021). doi:10.1016/j.media.2021.101972
King's College London
Med Image Anal
King's College London
Med Image Anal
Large, open-source consortium datasets have spurred the development of new and increasingly powerful machine learning approaches in brain connectomics. However, one key question remains: are we capturing biologically relevant and generalizable inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8299ea2c0dc2ac718a88921895e2766