Multi-modality multi-task model for mRS prediction using diffusion-weighted resonance imaging-Reference-Cited by-同舟云学术

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Multi-modality multi-task model for mRS prediction using diffusion-weighted resonance imaging

Published:2024-09-04 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Park In-Seo,Kim Seongheon,Jang Jae-Won,Park Sang-Won,Yeo Na-Young,Seo Soo Young,Jeon Inyeop,Shin Seung-Ho,Kim Yoon,Choi Hyun-Soo,Kim Chulho

Funder

Kangwon National University

Korea government

Ministry of Education

Ministry of Health & Welfare, Republic of Korea

Seoul National University of Science and Technology

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-71072-4.pdf

Reference34 articles.

1. Powers, W. J. et al. 2018 guidelines for the early management of patients with acute ischemic stroke: A guideline for healthcare professionals from the American heart association/American stroke association. Stroke 49, 46–99 (2018).

2. Albers, G. W. et al. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N. Engl. J. Med. 378, 708–718 (2018).

3. Nogueira, R. G. et al. Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct. N. Engl. J. Med. 378, 11–21 (2018).

4. Boehme, A. K., Esenwa, C. & Elkind, M. S. Stroke risk factors, genetics, and prevention. Circ. Res. 120, 472–495 (2017).

5. Jeong, S. et al. Deep learning approach using diffusion-weighted imaging to estimate the severity of aphasia in stroke patients. J. Stroke 24, 108–117 (2022).

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