Sunho Ko

A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records

Jee Eun Park, M. Lee, H. Park, 2022, BMC Psychiatry.

High‐resolution knee plain radiography image synthesis using style generative adversarial network adaptive discriminator augmentation

M. Lee, D. Ro, Gun-Sang Ahn, 2022, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Total Knee Arthroplasty: Is It Safe? A Single-Center Study of 4,124 Patients in South Korea

M. Lee, D. Ro, Sunho Ko, 2022, Clinics in Orthopedic Surgery.

A web-based machine-learning algorithm predicting postoperative acute kidney injury after total knee arthroplasty

M. Lee, C. Chang, Hajeong Lee, 2020, Knee Surgery, Sports Traumatology, Arthroscopy.

Transfusion after total knee arthroplasty can be predicted using the machine learning algorithm

M. Lee, T. Ko, D. Ro, 2019, Knee Surgery, Sports Traumatology, Arthroscopy.

Deep learning-based landmark recognition and angle measurement of full-leg plain radiographs can be adopted to assess lower extremity alignment

M. Lee, D. Ro, Sunho Ko, 2022, Knee Surgery, Sports Traumatology, Arthroscopy.

Automated Risk Stratification of Hip Osteoarthritis Development in Patients With Femoroacetabular Impingement Using an Unsupervised Clustering Algorithm: A Study From the Rochester Epidemiology Project

M. Lee, A. Krych, A. Pareek, 2021, Orthopaedic journal of sports medicine.

Artificial intelligence in orthopedics: three strategies for deep learning with orthopedic specific imaging

Christopher L. Camp, A. Krych, R. K. Martin, 2022, Knee Surgery, Sports Traumatology, Arthroscopy.

Transfusion after total knee arthroplasty can be predicted using the machine learning algorithm

M. Lee, T. Ko, D. Ro, 2019, Knee Surgery, Sports Traumatology, Arthroscopy.