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YUHSpace1. College of Medicine (의과대학)Dept. of Internal Medicine (내과학교실)1. Journal Papers

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Issue DateTitleJournal Title
2016Association between retinal vein occlusion and risk of heart failure: A 12-year nationwide cohort studyINTERNATIONAL JOURNAL OF CARDIOLOGY
2023Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores European Heart Journal. Digital Health
2021Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs LANCET DIGITAL HEALTH
2016Evaluation of the Association Between Retinal Vein Occlusion and the Risk of Atrial Fibrillation Development: A 12-Year, Retrospective Nationwide Cohort Study SCIENTIFIC REPORTS
2023Next-Generation Sequencing of Vitreoretinal Lymphoma by Vitreous Liquid Biopsy: Diagnostic Potential and Genotype/Phenotype Correlation INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
2023Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors NPJ DIGITAL MEDICINE(Nature partner journals digital medicine Digital medicine)
2023Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
2020Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithmsLANCET DIGITAL HEALTH
2022Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk AGE AND AGEING
2016Retinal vessel structure measurement using spectral-domain optical coherence tomographyEYE
2017Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns SCIENTIFIC REPORTS
2008Serum and tear levels of nerve growth factor in diabetic retinopathy patientsAMERICAN JOURNAL OF OPHTHALMOLOGY
2023Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank BMC MEDICINE
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