A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport
In: Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology : Third International Workshop, MLCN 2020, Jg. 12449 (2020), S. 169-176
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Zugriff:
| Titel: |
A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport
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| Autor/in / Beteiligte Person: | Zeng, Ling-Li ; Ching, Christopher R. K. ; Abaryan, Zvart ; Thomopoulos, Sophia I. ; Gao, Kai ; Zhu, Alyssa H. ; Ragothaman, Anjanibhargavi ; Rashid, Faisal ; Harrison, Marc ; Salminen, Lauren E. ; Riedel, Brandalyn C. ; Jahanshad, Neda ; Hu, Dewen ; Thompson, Paul M. ; 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 ; Kia, Seyed Mostafa [Ed.] ; Mohy-ud-Din, Hassan [Ed.] ; Abdulkadir, Ahmed [Ed.] ; Bass, Cher [Ed.] ; Habes, Mohamad [Ed.] ; Rondina, Jane Maryam [Ed.] ; Tax, Chantal [Ed.] ; Wang, Hongzhi [Ed.] ; Wolfers, Thomas [Ed.] ; Rathore, Saima [Ed.] ; Ingalhalikar, Madhura [Ed.] |
| Zeitschrift: | Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology : Third International Workshop, MLCN 2020, Jg. 12449 (2020), S. 169-176 |
| Veröffentlichung: | 2020 |
| Medientyp: | E-Book |
| ISBN: | 978-3-030-66842-6 (print) ; 978-3-030-66843-3 (print) |
| DOI: | 10.1007/978-3-030-66843-3_17 |
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