Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, Jg. 12267 (2020), S. 280-290
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Zugriff:
| Titel: |
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks
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| Autor/in / Beteiligte Person: | the UNC/UMN Baby Connectome Project Consortium ; Chen, Geng ; Hong, Yoonmi ; Zhang, Yongqin ; Kim, Jaeil ; Huynh, Khoi Minh ; Ma, Jiquan ; Lin, Weili ; Shen, Dinggang ; Yap, Pew-Thian ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Woeginger, Gerhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Martel, Anne L. [Ed.] ; Abolmaesumi, Purang [Ed.] ; Stoyanov, Danail [Ed.] ; Mateus, Diana [Ed.] ; Zuluaga, Maria A. [Ed.] ; Zhou, S. Kevin [Ed.] ; Racoceanu, Daniel [Ed.] ; Joskowicz, Leo [Ed.] |
| Zeitschrift: | Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, Jg. 12267 (2020), S. 280-290 |
| Veröffentlichung: | 2020 |
| Medientyp: | E-Book |
| ISBN: | 978-3-030-59727-6 (print) ; 978-3-030-59728-3 (print) |
| DOI: | 10.1007/978-3-030-59728-3_28 |
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