Disease Knowledge Transfer Across Neurodegenerative Diseases-Reference-Cited by-同舟云学术

Disease Knowledge Transfer Across Neurodegenerative Diseases

Published:2019 Issue: Volume: Page:860-868
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Marinescu Răzvan V., ,Lorenzi Marco,Blumberg Stefano B.,Young Alexandra L.,Planell-Morell Pere,Oxtoby Neil P.,Eshaghi Arman,Yong Keir X.,Crutch Sebastian J.,Golland Polina,Alexander Daniel C.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-32245-8_95

Reference10 articles.

1. Oxtoby, N.P., et al.: Data-driven models of dominantly-inherited Alzheimer’s disease progression. Brain 141(5), 1529–1544 (2018)

2. Jedynak, B.M., et al.: A computational neurodegenerative disease progression score: method and results with the Alzheimer’s disease neuroimaging initiative cohort. Neuroimage 63(3), 1478–1486 (2012)

3. Young, A.L., et al.: Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with subtype and stage inference. Nature Commun. 9(1), 4273 (2018)

4. Hon, M., Khan, N.: Towards Alzheimer’s disease classification through transfer learning. arXiv preprint arXiv:1711.11117 (2017)

5. Cheng, B., Liu, M., Zhang, D., Munsell, B.C., Shen, D.: Domain transfer learning for MCI conversion prediction. IEEE Trans. Biomed. Eng. 62(7), 1805–1817 (2015)

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1. Introduction;Introduction to Transfer Learning;2022-11-12

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