Deep Learning Approach Using Diffusion-Weighted Imaging to Estimate the Severity of Aphasia in Stroke Patients
Soo Jeong, Eun-Jae Lee, Yong-Hwan Kim, Jin Cheol Woo, On-Wha Ryu, Miseon Kwon, Sun U Kwon, Jong S. Kim, Dong-Wha Kang
J Stroke. 2022;24(1):108-117. Published online 2022 Jan 31 DOI: https://doi.org/10.5853/jos.2021.02061
|
Citations to this article as recorded by
Prediction models of the aphasia severity after stroke by lesion load of cortical language areas and white matter tracts: An atlas-based study
Qiwei Yu, Yan Sun, Xiaowen Ju, Tianfen Ye, Kefu Liu
Brain Research Bulletin.2024; 217: 111074. CrossRef Digital symbol-digit modalities test with modified flexible protocols in patients with CNS demyelinating diseases
Dayoung Seo, Jeong Min So, Jiyon Kim, Heejae Jung, Inhye Jang, Hyunjin Kim, Dong-Wha Kang, Young-Min Lim, Jaesoon Choi, Eun-Jae Lee
Scientific Reports.2024;[Epub] CrossRef AI-assisted assessment and treatment of aphasia: a review
Xiaoyun Zhong
Frontiers in Public Health.2024;[Epub] CrossRef Multi-modality multi-task model for mRS prediction using diffusion-weighted resonance imaging
In-Seo Park, Seongheon Kim, Jae-Won Jang, Sang-Won Park, Na-Young Yeo, Soo Young Seo, Inyeop Jeon, Seung-Ho Shin, Yoon Kim, Hyun-Soo Choi, Chulho Kim
Scientific Reports.2024;[Epub] CrossRef
|