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Scientific Reports|October 19, 2021
Interpretable machine learning for early neurological deterioration prediction in atrial fibrillation-related strokeSeong-Hwan Kim, Eun-Tae Jeon, Sungwook Yu, et al.Journal of Clinical Neurology (Seoul, Korea)|October 9, 2019
Long-Term Outcomes of Real-World Korean Patients with Atrial-Fibrillation-Related Stroke and Severely Decreased Ejection FractionJin Man Jung, Yong Hyun Kim, Sungwook Yu, et al.Cerebrovascular Diseases (Basel, Switzerland)|February 15, 2021
Pre-Admission CHADS2 and CHA2DS2-VASc Scores on Early Neurological WorseningKi-Woong Nam, Chi Kyung Kim, Sungwook Yu, et al.American Journal of Hypertension|May 3, 2019
Blood Pressure Variability Is Associated With White Matter Lesion Growth in Intracranial AtherosclerosisBum Joon Kim, Sun U Kwon, Jong-Moo Park, et al.Scientific Reports|July 30, 2020
Elevated troponin levels are associated with early neurological worsening in ischemic stroke with atrial fibrillationKi-Woong Nam, Chi Kyung Kim, Sungwook Yu, et al.Thrombosis Research|August 10, 2023
D-dimer to fibrinogen ratio predicts early neurological deterioration in ischemic stroke with atrial fibrillationKi-Woong Nam, Chi Kyung Kim, Sungwook Yu, et al.Frontiers in Neurology|August 1, 2022
Movement Disorders Associated With Cerebral Artery Stenosis: A Nationwide StudyKye Won Park, Nari Choi, Eungseok Oh, et al.Frontiers in Neurology|November 5, 2019
Characteristics and Factors for Short-Term Functional Outcome in Stroke Patients With Atrial Fibrillation, Nationwide Retrospective Cohort StudyTae-Jin Song, In-Young Baek, Ho Geol Woo, et al.Scientific Reports|July 19, 2025
Deep learning to identify stroke within 4.5 h using DWI and FLAIR in a prospective multicenter studyEun Namgung, Young Sun Kim, Eun-Jae Lee, et al.Journal of Stroke|February 18, 2021
Initiation of Guideline-Matched Oral Anticoagulant in Atrial Fibrillation-Related StrokeMi-Yeon Eun, Jae-Young Kim, Yang-Ha Hwang, et al.Pageof 42