J. Chung, S. Kim, J. H. Won#, H. Park#, “Integrating Multimodal Neuroimaging and Genetics: A Structurally-Linked Sparse Canonical Correlation Analysis Approach”, accepted for IEEE Journal of Translational Engineering in Health & Medicine, September 2024.

S. Oh*, S. Kim*, J. Lee, B. Park, J. H. Won, H. Park#, “Multimodal Analysis of Disease Onset in Alzheimer’s Disease Using Connectome, Molecular, and Genetics Data”, accepted for NeuroImage: Clinical, August 2024.

J. H. Ahn*, J. Kwon*, J. H. Won, K. Byeon, J. Youn, H. Park#, and J. W. Cho#, “Waiting Impulsivity in Progressive Supranuclear Palsy-Richardson’s Syndrome”, Frontiers in Neuroscience, vol. 17, article 1240709, doi: /10.3389/fnins.2023.1240709, September 2023

J. H Won*, J. Youn*,  M. Kim, J. Kwon, S. H. Moon, M. Kim, J. H. Ahn, J. K. Mun, H. Park#, and J. W. Cho#, “Extra-Basal Ganglia Brain Structures are Related to Motor Reserve in Parkinson’s Disease”, accepted for Journal of Parkinson’s Disease, December 2022.

J. H. Won, J. Youn, and H. Park#, “Enhanced neuroimaging genetics using multi-view non-negative matrix factorization with sparsity and prior knowledge”, Medical Image Analysis, vol. 77, no. 1, article 102378, doi: 10.1016/j.media.2022.102378, April 2022 (IF 13.828, JCR rank on ‘CS, Artificial intelligence’ 1.77%)

J. H. Won, M. Kim, J. Youn#, and H. Park#, “Prediction of age at onset in Parkinson’s disease using objective specific neuroimaging genetics based on a sparse canonical correlation analysis”, Scientific Reports, vol. 10, article 11662, doi: 10.1038/s41598-020-68301-x,  July 2020.

H. Lee*, B. Park*, K. Byeon, J. H. Won, M. Kim, S. Kim, and H. Park#, “Multivariate association between brain function and eating disorders using sparse canonical correlation analysis”, PLoS ONE, vol. 15, no. 8, article e0237511, doi: 10.1371/journal.pone.0237511, August 2020

M. Kim, J. H. Won, J. Youn, and H. Park#, “Joint-connectivity-based sparse canonical correlation analysis of imaging genetics for detecting biomarkers of Parkinson’s disease”, IEEE Transaction on Medical Imaging, vol. 39. no. 1, p.23-34, January 2020.

J. H. Won, M. Kim, B. Park, J. Youn, and H. Park#, “Effectiveness of imaging genetics analysis to explain degree of depression in Parkinson’s disease”, PLoS ONE, vol. 14, no. 2, article e0211699, doi: 10.1371/journal.pone.0211699, February 2019.

창의 도전 연구 기반 과제 (PI, 22.06~25.05, NRF, 210,000 KRW)

• 신경 퇴행성 질환 예측 및 진단을 위한 인공지능 기반 뇌영상-유전체 융합 모델 개발

박사 과정생 연구 장려금 과제(PI, 22.06~21.08, NRF, 100,000 KRW)

• 신경 퇴행성 질환 예측 및 진단을 위한 Deep 뇌영상 유전체 분석 방법의 개발

초융합 AI 원천 기술 개발(20.07~24.12, NRF, 125,000 KRW)

• 뇌혈관 융합 영상 빅데이터 구축을 위한 뇌영상 및 뇌혈관 영상 분석 알고리즘 개발