Learning spatiotemporal features of DSA using 3D CNN and BiConvGRU for ischemic moyamoya disease detection
Author:
Affiliation:
1. Department of Electronic Engineering, Fudan University, Shanghai, China
2. Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
Funder
National Natural Science Foundation of China
the new technology projects of Shanghai Science and technology innovation action plan
Publisher
Informa UK Limited
Subject
General Medicine,General Neuroscience
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207454.2021.1929214
Reference34 articles.
1. Moyamoya Syndrome: A Window of Moyamoya Disease
2. Specific Genetic Characteristics in Patients With Familial Moyamoya Disease
3. Identification of RNF213 as a Susceptibility Gene for Moyamoya Disease and Its Possible Role in Vascular Development
4. Epidemiological Features of Moyamoya Disease in Japan
5. Asymptomatic Cerebral Microbleeds in Adult Patients with Moyamoya Disease: A Prospective Cohort Study with 2 Years of Follow-Up
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