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CrossRef Text and Data Mining |
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
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 January 31, 2022 DOI: https://doi.org/10.5853/jos.2021.02061 |
Deep Learning Approach Using Diffusion-Weighted Imaging to Estimate the Severity of Aphasia in Stroke Patients Prediction of Aphasia Severity in Patients with Stroke Using Diffusion Tensor Imaging Clinical and neuroimaging factors associated with aphasia severity in stroke patients: diffusion tensor imaging study Localization of stroke syndromes using diffusion-weighted MR imaging (DWI) A research on prediction of bat-borne disease infection through segmentation using diffusion-weighted MR imaging in deep-machine learning approach The clinical significance of diffusion-weighted MR imaging in stroke and TIA patients Predicting the Severity of Neurological Impairment Caused by Ischemic Stroke Using Deep Learning Based on Diffusion-Weighted Images The Hidden Mismatch: An Explanation for Infarct Growth Without Perfusion-Weighted Imaging/Diffusion-Weighted Imaging Mismatch in Patients With Acute Ischemic Stroke Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction Role of Diffusion Weighted Imaging in Enhancing MR Imaging in Recent Is-chemic Stroke Patients |