Ein Oh - Concepedia

Author

Ein Oh

Yonsei University ORCID

Also Known As

E Oh, Ein Oh, Eui-Young Oh

Publications

747

Citations

H-Index

Concepts

All Affiliations

Yonsei University Korea Air Force Academy Nune Eye Hospital

About

Ein Oh is an author at Yonsei University specializing in computer vision, deep learning, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	2	2	63
2	Health Sciences	1	1	30
3	Management	1	1	53
4	Medicine	1	1	53
5	Biostatistics	1	1	53

Ein Oh

Publications

642

Citations

H-Index

Page 1

	Year	Citations
The Effects of Perioperative Anesthesia and Analgesia on Immune Function in Patients Undergoing Breast Cancer Resection: A Prospective Randomized Study Jin Sun Cho, Mi Hyang Lee, Seung Il Kim, International Journal of Medical Sciences	2017	110
Osteoporosis Risk Prediction for Bone Mineral Density Assessment of Postmenopausal Women Using Machine Learning Tae Keun Yoo, Sung Kean Kim, Deok Won Kim, Yonsei Medical Journal	2013	88
Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study Ein Oh, Tae Keun Yoo, Eun‐Cheol Park BMC Medical Informatics and Decision Making	2013	87
Simple Scoring System and Artificial Neural Network for Knee Osteoarthritis Risk Prediction: A Cross-Sectional Study Tae Keun Yoo, Deok Won Kim, Soo Beom Choi, PLoS ONE	2016	77
Is vitamin D status associated with open-angle glaucoma? A cross-sectional study from South Korea Tae Keun Yoo, Ein Oh, Samin Hong Public Health Nutrition	2014	58
Osteoporosis risk prediction using machine learning and conventional methods Sung Kean Kim, Tae Keun Yoo, Ein Oh, Osteoporosis Risk AssessmentDiagnosisDisease ClassificationOsteoporosisBone Disease	2013	53
Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test Ein Oh, Tae Keun Yoo, Samin Hong Investigative Ophthalmology & Visual Science	2015	50
Toward automated severe pharyngitis detection with smartphone camera using deep learning networks Tae Keun Yoo, Joon Yul Choi, Younil Jang, Computers in Biology and Medicine Convolutional Neural NetworkImage ClassificationMachine VisionMachine LearningImage Analysis	2020	33
Comparing McGRATH® MAC, C-MAC®, and Macintosh Laryngoscopes Operated by Medical Students: A Randomized, Crossover, Manikin Study Myungju Shin, Sun Joon Bai, Ki‐Young Lee, BioMed Research International	2016	30
Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study Tae Keun Yoo, Ein Oh, Hong Kyu Kim, PLoS ONE Convolutional Neural NetworkEngineeringMachine LearningSurgeryDeep Learning Model	2020	30

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