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Mansu Kim
Mansu Kim
Verified email at gist.ac.kr - Homepage
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Cited by
Year
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
462020
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
332016
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
322018
Imaging analysis of Parkinson’s disease patients using SPECT and tractography
SJ Son, M Kim, H Park
Scientific reports 6 (1), 1-11, 2016
322016
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
212017
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
202021
Using tractography to distinguish SWEDD from Parkinson’s disease patients based on connectivity
M Kim, H Park
Parkinson’s Disease 2016, 2016
192016
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
182021
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
172021
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
152022
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
132016
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
92019
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
82020
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
62020
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
42021
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
42020
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
42020
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
42015
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
32022
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
32021
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