Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learning. - Joo Young Kim 005; Kyunghan Ro; Sungmin You; Borum Nam; Sunhyun Yook; Hee Seol Park; Jae Chul Yoo; Eunkyoung Park; Kyeongwon Cho; Baek Hwan Cho; In Young Kim (Comput. Methods Programs Biomed., 2019)

Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial network. - Sungmin You; Baek Hwan Cho; Soon-Hyung Yook; Joo Young Kim 005; Young-Min Shon; Dae-Won Seo; In Young Kim (Comput. Methods Programs Biomed., 2020)

Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke. - Ho Seok Lee; Hokyoung Ryu; Shi-Uk Lee; Jae-sung Cho; Sungmin You; Jae Hyeon Park; Seong-Ho Jang (Sensors, 2021)

Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG. - Sungmin You; Baek Hwan Cho; Young-Min Shon; Dae-Won Seo; In Young Kim (Comput. Methods Programs Biomed., 2022)

Explainable Deep-Learning-Based Gait Analysis of Hip-Knee Cyclogram for the Prediction of Adolescent Idiopathic Scoliosis Progression. - Yong-Gyun Kim; Sungjoon Kim; Jae Hyeon Park; Seung Yang; Minkyu Jang; Yeo Joon Yun; Jae-sung Cho; Sungmin You; Seong-Ho Jang (Sensors, 2024)

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo Rojas; Liu Li; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (CoRR, 2025)