| Joint-connectivity-based sparse canonical correlation analysis of imaging genetics for detecting biomarkers of Parkinson’s disease M Kim, JH Won, J Youn, H Park IEEE transactions on medical imaging 39 (1), 23-34, 2020 | 48 | 2020 |
| Connectivity analysis and feature classification in attention deficit hyperactivity disorder sub-types: a task functional magnetic resonance imaging study B Park, M Kim, J Seo, J Lee, H Park Brain topography 29 (3), 429-439, 2016 | 35 | 2016 |
| Structural and functional brain connectivity changes between people with abdominal and non-abdominal obesity and their association with behaviors of eating disorders B Park, MJ Lee, M Kim, SH Kim, H Park Frontiers in neuroscience 12, 741, 2018 | 34 | 2018 |
| Imaging analysis of Parkinson’s disease patients using SPECT and tractography SJ Son, M Kim, H Park Scientific reports 6 (1), 1-11, 2016 | 33 | 2016 |
| Imaging genetics approach to Parkinson’s disease and its correlation with clinical score M Kim, J Kim, SH Lee, H Park Scientific reports 7 (1), 1-10, 2017 | 22 | 2017 |
| Inter-individual body mass variations relate to fractionated functional brain hierarchies B Park, H Park, F Morys, M Kim, K Byeon, H Lee, SH Kim, SL Valk, ... Communications Biology 4 (1), 1-12, 2021 | 21 | 2021 |
| Using tractography to distinguish SWEDD from Parkinson’s disease patients based on connectivity M Kim, H Park Parkinson’s Disease 2016, 2016 | 20 | 2016 |
| Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics M Kim, EJ Min, K Liu, J Yan, AJ Saykin, JH Moore, Q Long, L Shen Medical Image Analysis 76, 102297, 2022 | 18 | 2022 |
| Interpretable temporal graph neural network for prognostic prediction of Alzheimer’s disease using longitudinal neuroimaging data M Kim, J Kim, J Qu, H Huang, Q Long, KA Sohn, D Kim, L Shen 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 18 | 2021 |
| A structural enriched functional network: An application to predict brain cognitive performance M Kim, J Bao, K Liu, B Park, H Park, JY Baik, L Shen Medical Image Analysis 71, 102026, 2021 | 18 | 2021 |
| Structural connectivity profile of scans without evidence of dopaminergic deficit (SWEDD) patients compared to normal controls and Parkinson’s disease patients M Kim, H Park SpringerPlus 5 (1), 1-15, 2016 | 13 | 2016 |
| Multivariate association between brain function and eating disorders using sparse canonical correlation analysis H Lee, B Park, K Byeon, JH Won, M Kim, SH Kim, H Park Plos one 15 (8), e0237511, 2020 | 10 | 2020 |
| Effectiveness of imaging genetics analysis to explain degree of depression in Parkinson’s disease JH Won, M Kim, B Park, J Youn, H Park PloS one 14 (2), e0211699, 2019 | 9 | 2019 |
| prediction of age at onset in parkinson’s disease using objective specific neuroimaging genetics based on a sparse canonical correlation analysis JH Won, M Kim, J Youn, H Park Scientific Reports 10 (1), 1-12, 2020 | 7 | 2020 |
| Identifying highly heritable brain amyloid phenotypes through mining Alzheimer’s imaging and sequencing biobank data J Bao, Z Wen, M Kim, X Zhao, BN Lee, SH Jung, C Davatzikos, AJ Saykin, ... PACIFIC SYMPOSIUM ON BIOCOMPUTING 2022, 109-120, 2021 | 6 | 2021 |
| Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's Disease M Kim, JH Won, J Hong, J Kwon, H Park, L Shen 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1920-1923, 2020 | 5 | 2020 |
| Identifying genetic markers enriched by brain imaging endophenotypes in Alzheimer’s disease M Kim, R Wu, X Yao, AJ Saykin, JH Moore, L Shen BMC Medical Genomics 15 (2), 1-12, 2022 | 4 | 2022 |
| Body mass variations relate to fractionated functional brain hierarchies B Park, H Park, F Morys, M Kim, K Byeon, H Lee, SH Kim, S Valk, ... bioRxiv, 2020 | 4 | 2020 |
| Planning for selective amygdalohippocampectomy involving less neuronal fiber damage based on brain connectivity using tractography SH Lee, M Kim, H Park Neural regeneration research 10 (7), 1107, 2015 | 4 | 2015 |
| Identifying imaging genetic associations via regional morphometricity estimation J Bao, Z Wen, M Kim, AJ Saykin, PM Thompson, Y Zhao, L Shen PACIFIC SYMPOSIUM ON BIOCOMPUTING 2022, 97-108, 2021 | 3 | 2021 |
Hyunjin ParkProfessor of Electrical-Computer Engineering and Artificial Intelligence, Sungkyunkwan University在 skku.edu 的电子邮件经过验证
