Imaging genetics approach to predict progression of Parkinson's diseases. - Mansu Kim; Seong-jin Son; Hyunjin Park (EMBC, 2017)

Subtype Identification of Parkinson's Disease Using Sparse Canonical Correlation and Clustering Analysis of Multimodal Neuroimaging. - Ji Hye Won; Mansu Kim; Jinyoung Yoon; Hyunjin Park (MTSR, 2019)

Estimating Hard-tissue Conditions from Dental Images via Machine Learning. - Jingxuan Bao; Mansu Kim; Qing Sun; Anderson T. Hara; Gerardo Maupome; Li Shen 001 (BIBE, 2020)

Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. - Yixue Feng 001; Mansu Kim; Xiaohui Yao; Kefei Liu 001; Qi Long; Li Shen 001 (BIBE, 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)

Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet. - Mansu Kim; Jingxaun Bao; Kefei Liu 001; Bo-yong Park; Hyunjin Park; Li Shen 001 (MLMI@MICCAI, 2020)

GraphNet-based imaging biomarker model to explain levodopa-induced dyskinesia in Parkinson's disease. - Mansu Kim; Ji Sun Kim; Jinyoung Youn; Hyunjin Park; Jin Whan Cho (Comput. Methods Programs Biomed., 2020)

Joint-Connectivity-Based Sparse Canonical Correlation Analysis of Imaging Genetics for Detecting Biomarkers of Parkinson's Disease. - Mansu Kim; Ji Hye Won; Jinyoung Youn; Hyunjin Park (IEEE Trans. Medical Imaging, 2020)

Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. - Mansu Kim; Jaesik Kim; Jeffrey Qu; Heng Huang; Qi Long; Kyung-Ah Sohn; Dokyoon Kim; Li Shen 001 (BIBM, 2021)

A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits. - Yize Zhao; Xiwen Zhao; Mansu Kim; Jingxuan Bao; Li Shen 001 (MICCAI (5), 2021)

A structural enriched functional network: An application to predict brain cognitive performance. - Mansu Kim; Jingxuan Bao; Kefei Liu 001; Bo-yong Park; Hyunjin Park; Jae Young Baik; Li Shen 001 (Medical Image Anal., 2021)

Connectome transformer with anatomically inspired attention for Parkinson's diagnosis. - Diego Machado Reyes; Mansu Kim; Hanqing Chao; Li Shen 001; Pingkun Yan (BCB, 2022)

Genomics transformer for diagnosing Parkinson's disease. - Diego Machado Reyes; Mansu Kim; Hanqing Chao; Juergen Hahn; Li Shen 001; Pingkun Yan (BHI, 2022)

Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment. - Yixue Feng 001; Mansu Kim; Xiaohui Yao; Kefei Liu 001; Qi Long; Li Shen 001 (BMC Bioinform., 2022)

Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. - Mansu Kim; Eun Jeong Min; Kefei Liu 001; Jingwen Yan; Andrew J. Saykin; Jason H. Moore; Qi Long; Li Shen 001 (Medical Image Anal., 2022)

CXR-LLaVA: Multimodal Large Language Model for Interpreting Chest X-ray Images. - Seowoo Lee; Jiwon Youn; Mansu Kim; Soon Ho Yoon (CoRR, 2023)

Domain Aware Multi-task Pretraining of 3D Swin Transformer for T1-Weighted Brain MRI. - Jonghun Kim; Mansu Kim; Hyunjin Park (ACCV (2), 2024)

Brain-Aware Readout Layers in GNNs: Advancing Alzheimer's early Detection and Neuroimaging. - Jiwon Youn; Dong Woo Kang; Hyun Kook Lim; Mansu Kim (CoRR, 2024)

MFTrans: A Multi-Resolution Fusion Transformer for Robust Tumor Segmentation in Whole Slide Images. - Sungkyu Yang; Woohyun Park; Kwangil Yim; Mansu Kim (WACV, 2025)