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Cerebrovascular Diseases (Basel, Switzerland)
|
November 22, 2014
Long-term natural history of intracranial arterial stenosis: an MRA follow-up study
Wi-Sun Ryu, Sang-Soon Park, Young-Seo Kim, et al.
Biomedical Engineering Letters
|
July 7, 2025
Early warning score and feasible complementary approach using artificial intelligence-based bio-signal monitoring system: a review
Dogeun Park, Kwangsub So, Sunil Kumar Prabhakar, et al.
BMC Neurology
|
June 14, 2014
Cystatin C, a novel indicator of renal function, reflects severity of cerebral microbleeds
Mi-Young Oh, Hyon Lee, Joon Soon Kim, et al.
Frontiers in Aging Neuroscience
|
July 8, 2024
Impact of white matter hyperintensity volumes estimated by automated methods using deep learning on stroke outcomes in small vessel occlusion stroke
Minwoo Lee, Chong Hyun Suh, Jong-Hee Sohn, et al.
Anatomical Record (Hoboken, N.J. : 2007)
|
May 16, 2019
Comparing the Superficial Vasculature of the Central Nervous System in Six Laboratory Animals: A Hypothesis About the Role of the "Circle of Willis"
Yoo Yeon Kim, Janet Ren Chao, Chulho Kim, et al.
Heliyon
|
June 3, 2024
Deep learning model integrating radiologic and clinical data to predict mortality after ischemic stroke
Changi Kim, Joon-Myoung Kwon, Jiyeong Lee, et al.
Plos One
|
September 8, 2017
Range of glucose as a glycemic variability and 3-month outcome in diabetic patients with acute ischemic stroke
Young Seo Kim, Chulho Kim, Keun-Hwa Jung, et al.
Frontiers in Neurology
|
January 9, 2019
Impact of Reducing the Procedure Time on Thromboembolism After Coil Embolization of Cerebral Aneurysms
Sang-Hwa Lee, Min Uk Jang, Jihoon Kang, et al.
Journal of Clinical Neurology (Seoul, Korea)
|
January 17, 2013
A Quantitative Comparison of the Vertebral Artery and Transverse Foramen Using CT Angiography
Chulho Kim, Seung-Hoon Lee, Sang Soon Park, et al.
Journal of Personalized Medicine
|
September 28, 2021
Prediction of Hemorrhagic Transformation after Ischemic Stroke Using Machine Learning
Jeong-Myeong Choi, Soo-Young Seo, Pum-Jun Kim, et al.
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of 15
Search research articles
Search
Showing results (71-80 of 141) with videos related to
Sort By:
Page
of 15
Cerebrovascular Diseases (Basel, Switzerland)
|
November 22, 2014
Long-term natural history of intracranial arterial stenosis: an MRA follow-up study
Wi-Sun Ryu, Sang-Soon Park, Young-Seo Kim, et al.
Biomedical Engineering Letters
|
July 7, 2025
Early warning score and feasible complementary approach using artificial intelligence-based bio-signal monitoring system: a review
Dogeun Park, Kwangsub So, Sunil Kumar Prabhakar, et al.
BMC Neurology
|
June 14, 2014
Cystatin C, a novel indicator of renal function, reflects severity of cerebral microbleeds
Mi-Young Oh, Hyon Lee, Joon Soon Kim, et al.
Frontiers in Aging Neuroscience
|
July 8, 2024
Impact of white matter hyperintensity volumes estimated by automated methods using deep learning on stroke outcomes in small vessel occlusion stroke
Minwoo Lee, Chong Hyun Suh, Jong-Hee Sohn, et al.
Anatomical Record (Hoboken, N.J. : 2007)
|
May 16, 2019
Comparing the Superficial Vasculature of the Central Nervous System in Six Laboratory Animals: A Hypothesis About the Role of the "Circle of Willis"
Yoo Yeon Kim, Janet Ren Chao, Chulho Kim, et al.
Heliyon
|
June 3, 2024
Deep learning model integrating radiologic and clinical data to predict mortality after ischemic stroke
Changi Kim, Joon-Myoung Kwon, Jiyeong Lee, et al.
Plos One
|
September 8, 2017
Range of glucose as a glycemic variability and 3-month outcome in diabetic patients with acute ischemic stroke
Young Seo Kim, Chulho Kim, Keun-Hwa Jung, et al.
Frontiers in Neurology
|
January 9, 2019
Impact of Reducing the Procedure Time on Thromboembolism After Coil Embolization of Cerebral Aneurysms
Sang-Hwa Lee, Min Uk Jang, Jihoon Kang, et al.
Journal of Clinical Neurology (Seoul, Korea)
|
January 17, 2013
A Quantitative Comparison of the Vertebral Artery and Transverse Foramen Using CT Angiography
Chulho Kim, Seung-Hoon Lee, Sang Soon Park, et al.
Journal of Personalized Medicine
|
September 28, 2021
Prediction of Hemorrhagic Transformation after Ischemic Stroke Using Machine Learning
Jeong-Myeong Choi, Soo-Young Seo, Pum-Jun Kim, et al.
Page
of 15