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Sang-Il Oh

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 4

Top Topics

Artificial Intelligence

Optical Coherence Tomography

Convolutional Neural Network

Top Venues

Journal of clinical medicine

Selvas AI Incorporation

Catholic University of Korea (MSC)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Selvas AI Incorporation Oct 16o 2017

South Korea

Development of Machine Learning Model for Biomedical Data :: Medical Image Team

Education History

Catholic University of Korea Mar 2o 2015 - Feb 18o 2017

South Korea

MSC :: Digital Media

Publications

Jie-Hyun Kim, Sang-Il Oh, So-Young Han, Ji-Soo Keum, Kyung-Nam Kim, Jae-Young Chun, Young-Hoon Youn, Hyojin Park
An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer. Cancers 14 (23) (2022)
Jie-Hyun Kim, Sang-Il Oh, So-Young Han, Ji-Soo Keum, Kyung-Nam Kim, Jae-Young Chun, Young-Hoon Youn, Hyojin Park
An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer. Cancers 14 (23) (2022)
Jie-Hyun Kim, Sang-Il Oh, So-Young Han, Ji-Soo Keum, Kyung-Nam Kim, Jae-Young Chun, Young-Hoon Youn, Hyojin Park
An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer. Cancers 14 (23) (2022)
Hong Jin Yoon, Seunghyup Kim, Jie-Hyun Kim, Ji-Soo Keum, Sang-Il Oh, Junik Jo, Jae-Young Chun, Young Hoon Youn, Hyojin Park, In Gyu Kwon, Seung Ho Choi, Sung Hoon Noh
A Lesion-Based Convolutional Neural Network Improves Endoscopic Detection and Depth Prediction of Early Gastric Cancer. Journal of clinical medicine 8 (9) (2019)