SCIENTIFIC PUBLICATION

01 Jung HS, Lee EJ, Chang DI, Cho HJ, Lee J, Cha JK, Park MS, Yu KH, Jung JM, Ahn SH, Kim DE, Lee JH, Hong KS, Sohn SI, Park KP, Kwon SU, Kim JS, Chang JY,Kim BJ, Kang DW; KOSNI Investigators. A Multimodal Ensemble Deep Learning Model for Functional Outcome Prognosis of Stroke Patients. J Stroke. 2024May;26(2):312-320.
02 Namgung E, Kwon SU, Han MK, Kim GM, Kim HY, Park KY, Cho M, Choi HG, Nah HW, Lim HT, Kang DW. Digital therapeutics using virtual reality-based visual perceptual learning for visual field defects in stroke: A double-blind randomized trial. Brain Behav. 2024 May;14(5):e3525.
03 Namgung E, Kim YH, Lee EJ, Sasaki Y, Watanabe T, Kang DW. Functional connectivity interacts with visual perceptual learning for visual field recovery in chronic stroke. Sci Rep. 2024 Feb 8;14(1):3247.
04 Namgung E, Lee EJ, Kim YH, Kang DW. White Matter Structural Connectivity Associated With Visual Field Recovery After Stroke. J Stroke. 2024 Jan;26(1):116-120.
05 Lee EJ, Kim D, Kim YH, Namgung E, Lee JH, Sasaki Y, Watanabe T, Kang DW. Digital Therapeutics With Visual Discrimination Training for Cortical Blindness in Patients With Chronic Stroke. J Stroke. 2023 Sep;25(3):409-412.
06 Namgung E, Song WJ, Kim YH, An J, Cho YS, Kang DW. Structural and Functional Correlates of Higher Cortical Brain Regions in Chronic Refractory Cough. Chest 2022;162(4):851-860.
07 Jeong S, Lee EJ, Kim YH, Woo JC, Ryu OW, Kwon M, Kwon SU, Kim JS, Kang DW. Deep Learning Approach Using Diffusion-weighted Imaging to Estimate the Severity of Aphasia in Stroke Patients. J Stroke 2022;24(1):108-117.
08 Kim BJ, Jang SK, Kim YH, Lee EJ, Chang JY, Kwon SU, Kim JS, Kang DW. Diagnosis of Acute Central Dizziness with Simple Clinical Information Using Machine Learning. Front Neurol 2021 Jul 12;12:691057.
09 Kim H, Lee Y, Kim YH, Lim YM, Lee JS, Woo J, Jang SK, Oh YJ, Kim HW, Lee EJ, Kang DW, Kim KK. Deep Learning-Based Method to Differentiate Neuromyelitis Optica Spectrum Disorder From Multiple Sclerosis. Front Neurol 2020 Nov 30;11:599042.
10 Jang SK, Chang JY, Lee JS, Lee EJ, Kim YH, Han JH, Chang DI, Cho HJ, Cha JK, Yu KH, Jung JM, Ahn SH, Kim DE, Sohn SI, Lee JH, Park KP, Kwon SU, Kim JS, Kang DW; KOSNI Investigators. Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression. J Stroke 2020 Sep;22(3):403-406.
11 Lee H, Lee EJ, Ham S, Lee HB, Lee JS, Kwon SU, Kim JS, Kim N, Kang DW. Machine Learning Approach to Identify Stroke Within 4.5 Hours. Stroke 2020 Mar;51(3):860-866.
12 Choi MJ, Kim H, Nah HW, Kang DW. Digital Therapeutics: Emerging New Therapy for Neurologic Deficits after Stroke. J Stroke 2019 Sep;21(3):242-258.
13 Kim YH, Cho AH, Kim D, Kim SM, Lim HT, Kwon SU, Kim JS, Kang DW. Early Functional Connectivity Predicts Recovery from Visual Field Defects after Stroke. J Stroke 2019 May;21(2):207-216.
14 Kang DW, Kim D, Chang LH, Kim YH, Takahashi E, Cain MS, Watanabe T, Sasaki Y. Structural and Functional Connectivity Changes Beyond Visual Cortex in a Later Phase of Visual Perceptual Learning. Sci Rep 2018 Mar 26;8(1):5186.
15 Lee EJ, Kim YH, Kim N, Kang DW. Deep into the Brain: Artificial Intelligence in Stroke Imaging. J Stroke 2017 Sep;19(3):277-285.
16 Kim BJ, Kim YH, Kim N, Kwon SU, Kim SJ, Kim JS, Kang DW. Lesion location-based prediction of visual field improvement after cerebral infarction. PLoS One 2015 Nov 25;10(11):e0143882.
17 Lim JS, Kang DW. Stroke connectome and its implications for cognitive and behavioral sequela of stroke. J Stroke 2015 Sep;17(3):256-67.
18 Kim YH, Kang DW, Kim D, Kim HJ, Sasaki Y, Watanabe T. Real-time strategy video game experience and visual perceptual learning. J Neuroscience 2015 Jul 22;35(29):10485-92.