EPISeg: Automated segmentation of the spinal cord on echo planar images using open-access multi-center data

Библиографические подробности

Опубликовано в::	bioRxiv (Jan 27, 2025)
Главный автор:	Banerjee, Rohan
Другие авторы:	Kaptan, Merve, Tinnermann, Alexandra, Khatibi, Ali, Dabbagh, Alice, Büchel, Christian, Kündig, Christian W, Law, Christine Sw, Pfyffer, Dario, Lythgoe, David J, Tsivaka, Dimitra, Van De Ville, Dimitri, Falk Eippert, Fauziyya Muhammad, Glover, Gary H, David, Gergely, Sr, Haynes, Grace, Haaker, Jan, Brooks, Jonathan C W, Finsterbusch, Jürgen, Martucci, Katherine T, Hemmerling, Kimberly J, Mobarak-Abadi, Mahdi, Hoggarth, Mark A, Howard, Matthew A, Bright, Molly G, Kinany, Nawal, Kowalczyk, Olivia S, Freund, Patrick, Barry, Robert L, Mackey, Sean, Vahdat, Shahabeddin, Schading, Simon, Mcmahon, Stephen B, Parish, Todd, Marchand-Pauvert, Véronique, Chen, Yufen, Smith, Zachary A, Weber, Kenneth A, Ii, De Leener, Benjamin, Cohen-Adad, Julien
Опубликовано:	Cold Spring Harbor Laboratory Press
Предметы:	National Institutes of Health Autonomic nervous system Image processing Magnetic resonance imaging Spinal cord Spatial discrimination Functional magnetic resonance imaging Automation Deep learning Segmentation
Online-ссылка:	Citation/Abstract Full Text - PDF Full text outside of ProQuest
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