조범주 교수
031-380-3835
bjcho8@hallym.or.kr
전문진료분야
망막, 백내장
전화 예약
1577-1801
기본정보
학력
서울대학교 의과대학 학사 서울대학교 의과대학 석사 서울대학교 의과대학 박사 |
경력
서울대학교병원 안과 전공의 서울대학교병원 안과 망막 임상강사 한림대학교성심병원 안과 부교수 한림의료인공지능센터 센터장 서울대학교병원 인턴 일본 규슈대학병원 연수 일본 교토대학병원 연수 정보의학 인증의 |
학회활동
대한안과학회 홍보위원 한국망막학회 학술위원 한국포도막학회 부총무이사 한국망막변성협회 편집간사 미국시과학학회 및 유럽망막학회 회원 |
수상이력
2017미래창조과학부 임상의과학자 연구역량강화사업 연구비 수혜 2019과학기술정보통신부 이공분야기초연구사업 연구비 수혜 |
논문
Prediction of age and sex from paranasal sinus images using a deep learning network (Medicine)
Automated breast cancer detection in digital mammograms of various densities via deep learning (Journal of Personalized Medicine)
The Incidence and Etiologies of Third Cranial Nerve Palsy in Koreans: A 10-year Nationwide Cohort Study (OPHTHALMIC EPIDEMIOLOGY)
Prevalence and risk factors of childhood blepharoptosis in Koreans: the Korea National Health and Nutrition Examination Survey (EYE)
Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer (SCIENTIFIC REPORTS)
Classification of cervical neoplasms on colposcopic photography using deep learning (SCIENTIFIC REPORTS)
Prediction of Submucosal Invasion for Gastric Neoplasms in Endoscopic Images Using Deep-Learning (JOURNAL OF CLINICAL MEDICINE)
Automated Classification of Colorectal Neoplasms in White-Light Colonoscopy Images via Deep Learning (JOURNAL OF CLINICAL MEDICINE)
Prediction of Suicidal Ideation among Korean Adults Using Machine Learning: A Cross-Sectional Study (PSYCHIATRY INVESTIGATION)
Epidemiological Association Between Systemic Diseases and Keratoconus in a Korean Population: A 10-Year Nationwide Cohort Study. (CORNEA)
Automated breast cancer detection in digital mammograms of various densities via deep learning (Journal of Personalized Medicine)
The Incidence and Etiologies of Third Cranial Nerve Palsy in Koreans: A 10-year Nationwide Cohort Study (OPHTHALMIC EPIDEMIOLOGY)
Prevalence and risk factors of childhood blepharoptosis in Koreans: the Korea National Health and Nutrition Examination Survey (EYE)
Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer (SCIENTIFIC REPORTS)
Classification of cervical neoplasms on colposcopic photography using deep learning (SCIENTIFIC REPORTS)
Prediction of Submucosal Invasion for Gastric Neoplasms in Endoscopic Images Using Deep-Learning (JOURNAL OF CLINICAL MEDICINE)
Automated Classification of Colorectal Neoplasms in White-Light Colonoscopy Images via Deep Learning (JOURNAL OF CLINICAL MEDICINE)
Prediction of Suicidal Ideation among Korean Adults Using Machine Learning: A Cross-Sectional Study (PSYCHIATRY INVESTIGATION)
Epidemiological Association Between Systemic Diseases and Keratoconus in a Korean Population: A 10-Year Nationwide Cohort Study. (CORNEA)