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TÍTULO: Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data
AUTORES: Wu, O; Winzeck, S; Giese, AK; Hancock, BL; Etherton, MR; Bouts, MJRJ; Donahue, K; Schirmer, MD; Irie, RE; Mocking, SJT; McIntosh, EC; Bezerra, R; Kamnitsas, K; Frid, P; Wasselius, J; Cole, JW; Xu, H; Holmegaard, L; Jiménez Conde, J; Lemmens, R; Lorentzen, E; McArdle, PF; Meschia, JF; Roquer, J; Rundek, T; Sacco, RL; Schmidt, R; Sharma, P; Slowik, A; Stanne, TM ; Thijs, V; Vagal, A; Woo, D; Bevan, S; Kittner, SJ; Mitchell, BD; Rosand, J; Worrall, BB; Jern, C; Lindgren, AG; Maguire, J; Rost, NS; ...Mais
PUBLICAÇÃO: 2019, FONTE: Stroke, VOLUME: 50, NÚMERO: 7
INDEXADO EM: Scopus