كتاب إلكتروني

Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations

التفاصيل البيبلوغرافية
العنوان: Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations
المؤلفون: Mahmood, UsmanAff16, Rahman, Md MahfuzurAff16, Fedorov, AlexAff17, Lewis, NoahAff17, Fu, ZeningAff16, Calhoun, Vince D.Aff16, Aff17, Aff18, Plis, Sergey M.Aff16
المساهمون: Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Woeginger, Gerhard, Editorial Board MemberAff6, Yung, Moti, Editorial Board MemberAff7, Martel, Anne L., editorAff8, Abolmaesumi, Purang, editorAff9, Stoyanov, Danail, editorAff10, Mateus, Diana, editorAff11, Zuluaga, Maria A., editorAff12, Zhou, S. Kevin, editorAff13, Racoceanu, Daniel, editorAff14, Joskowicz, Leo, editorAff15
المصدر: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII. 12267:407-417
قاعدة البيانات: Springer Nature eBooks
الوصف
ردمك:9783030597276
9783030597283
DOI:10.1007/978-3-030-59728-3_40