كتاب إلكتروني
Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations
العنوان: | Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations |
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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 |
ردمك: | 9783030597276 9783030597283 |
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DOI: | 10.1007/978-3-030-59728-3_40 |