Artificial Neural Network Inspired by Neuroimaging Connectivity: Application in Autism Spectrum Disorder. - Kyoungseob Byeon; Junmo Kwon; Jisu Hong; Hyunjin Park (BigComp, 2020)

Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's Disease. - Mansu Kim; Ji Hye Won; Jisu Hong; Junmo Kwon; Hyunjin Park; Li Shen 001 (ISBI, 2020)

Region-of-interest Attentive Heteromodal Variational Encoder-Decoder for Segmentation with Missing Modalities. - Seung-wan Jeong; Hwan-ho Cho; Junmo Kwon; Hyunjin Park (ACCV (6), 2022)

Joint Learning of Segmentation and Overall Survival for Brain Tumor based on U-Net. - Junmo Kwon; Hyunjin Park (CBMS, 2023)

Enhancing Cerebral Microbleed Segmentation with Pretrained UNETR++. - Junmo Kwon; Sang Won Seo; Hyunjin Park (BIBM, 2024)

Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-Weighted and T2*-Weighted MRI. - Junmo Kwon; Sang Won Seo; Hyunjin Park (MICCAI (2), 2024)

Leveraging segmentation-guided spatial feature embedding for overall survival prediction in glioblastoma with multimodal magnetic resonance imaging. - Junmo Kwon; Jonghun Kim; Hyunjin Park (Comput. Methods Programs Biomed., 2024)

Weakly-supervised segmentation using sparse single point annotations for lumen and wall of carotid arteries in 3D MRI. - Jonghun Kim; Inye Na; Junmo Kwon; Woo-Keun Seo; Hyunjin Park (Comput. Methods Programs Biomed., 2025)