Year |
Citation |
Score |
2022 |
Reyes DM, Kim M, Chao H, Hahn J, Shen L, Yan P. Genomics transformer for diagnosing Parkinson's disease. ... Ieee-Embs International Conference On Biomedical and Health Informatics. Ieee-Embs International Conference On Biomedical and Health Informatics. 2022. PMID 36824448 DOI: 10.1109/bhi56158.2022.9926815 |
0.401 |
|
2022 |
Youn J, Won JH, Kim M, Kwon J, Moon SH, Kim M, Ahn JH, Mun JK, Park H, Cho JW. Extra-Basal Ganglia Brain Structures Are Related to Motor Reserve in Parkinson's Disease. Journal of Parkinson's Disease. PMID 36565134 DOI: 10.3233/JPD-223542 |
0.441 |
|
2022 |
Feng Y, Kim M, Yao X, Liu K, Long Q, Shen L. Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment. Bmc Bioinformatics. 23: 402. PMID 36175853 DOI: 10.1186/s12859-022-04946-x |
0.396 |
|
2022 |
Wu R, Bao J, Kim M, Saykin AJ, Moore JH, Shen L. Mining High-Level Imaging Genetic Associations via Clustering AD Candidate Variants with Similar Brain Association Patterns. Genes. 13. PMID 36140686 DOI: 10.3390/genes13091520 |
0.402 |
|
2022 |
Kim M, Wu R, Yao X, Saykin AJ, Moore JH, Shen L. Identifying genetic markers enriched by brain imaging endophenotypes in Alzheimer's disease. Bmc Medical Genomics. 15: 168. PMID 35915443 DOI: 10.1186/s12920-022-01323-8 |
0.463 |
|
2022 |
Youn J, Kim M, Park S, Kim JS, Park H, Cho JW. Pallidal Structural Changes Related to Levodopa-induced Dyskinesia in Parkinson's Disease. Frontiers in Aging Neuroscience. 14: 781883. PMID 35601615 DOI: 10.3389/fnagi.2022.781883 |
0.469 |
|
2022 |
Baik JY, Kim M, Bao J, Long Q, Shen L. Identifying Alzheimer's genes via brain transcriptome mapping. Bmc Medical Genomics. 15: 116. PMID 35590321 DOI: 10.1186/s12920-022-01260-6 |
0.441 |
|
2022 |
Kim M, Kim J, Qu J, Huang H, Long Q, Sohn KA, Kim D, Shen L. Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. Proceedings. Ieee International Conference On Bioinformatics and Biomedicine. 2021: 1381-1384. PMID 35299717 DOI: 10.1109/bibm52615.2021.9669504 |
0.385 |
|
2022 |
Bao J, Wen Z, Kim M, Zhao X, Lee BN, Jung SH, Davatzikos C, Saykin AJ, Thompson PM, Kim D, Zhao Y, Shen L. Identifying highly heritable brain amyloid phenotypes through mining Alzheimer's imaging and sequencing biobank data. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 27: 109-120. PMID 34890141 |
0.484 |
|
2022 |
Bao J, Wen Z, Kim M, Saykin AJ, Thompson PM, Zhao Y, Shen L. Identifying imaging genetic associations via regional morphometricity estimation. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 27: 97-108. PMID 34890140 |
0.419 |
|
2021 |
Zhao Y, Zhao X, Kim M, Bao J, Shen L. A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12905: 678-687. PMID 35299630 DOI: 10.1007/978-3-030-87240-3_65 |
0.475 |
|
2021 |
Kim M, Min EJ, Liu K, Yan J, Saykin AJ, Moore JH, Long Q, Shen L. Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. Medical Image Analysis. 76: 102297. PMID 34871929 DOI: 10.1016/j.media.2021.102297 |
0.505 |
|
2021 |
Park BY, Park H, Morys F, Kim M, Byeon K, Lee H, Kim SH, Valk SL, Dagher A, Bernhardt BC. Inter-individual body mass variations relate to fractionated functional brain hierarchies. Communications Biology. 4: 735. PMID 34127795 DOI: 10.1038/s42003-021-02268-x |
0.428 |
|
2021 |
Kim M, Bao J, Liu K, Park BY, Park H, Baik JY, Shen L. A structural enriched functional network: An application to predict brain cognitive performance. Medical Image Analysis. 71: 102026. PMID 33848962 DOI: 10.1016/j.media.2021.102026 |
0.486 |
|
2020 |
Kim M, Bao J, Liu K, Park BY, Park H, Shen L. Structural Connectivity Enriched Functional Brain Network using Simplex Regression with GraphNet. Machine Learning in Medical Imaging. Mlmi (Workshop). 12436: 292-302. PMID 34766171 DOI: 10.1007/978-3-030-59861-7_30 |
0.515 |
|
2020 |
Kim M, Won JH, Hong J, Kwon J, Park H, Shen L. DEEP NETWORK-BASED FEATURE SELECTION FOR IMAGING GENETICS: APPLICATION TO IDENTIFYING BIOMARKERS FOR PARKINSON'S DISEASE. Proceedings. Ieee International Symposium On Biomedical Imaging. 2020. PMID 34594479 DOI: 10.1109/isbi45749.2020.9098471 |
0.582 |
|
2020 |
Feng Y, Liu K, Kim M, Long Q, Yao X, Shen L. Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. Proceedings. Ieee International Symposium On Bioinformatics and Bioengineering. 2020: 308-314. PMID 33654579 DOI: 10.1109/bibe50027.2020.00057 |
0.372 |
|
2020 |
Kim M, Kim JS, Youn J, Park H, Cho JW. GraphNet-based imaging biomarker model to explain levodopa-induced dyskinesia in Parkinson's disease. Computer Methods and Programs in Biomedicine. 196: 105713. PMID 32846317 DOI: 10.1016/J.Cmpb.2020.105713 |
0.506 |
|
2020 |
Lee H, Park BY, Byeon K, Won JH, Kim M, Kim SH, Park H. Multivariate association between brain function and eating disorders using sparse canonical correlation analysis. Plos One. 15: e0237511. PMID 32785278 DOI: 10.1371/Journal.Pone.0237511 |
0.454 |
|
2020 |
Won JH, Kim M, Youn J, Park H. Prediction of age at onset in Parkinson's disease using objective specific neuroimaging genetics based on a sparse canonical correlation analysis. Scientific Reports. 10: 11662. PMID 32669683 DOI: 10.1038/S41598-020-68301-X |
0.596 |
|
2019 |
Kim M, Won JH, Youn J, Park H. Joint-connectivity-based sparse canonical correlation analysis of imaging genetics for detecting biomarkers of Parkinson's disease. Ieee Transactions On Medical Imaging. PMID 31144631 DOI: 10.1109/Tmi.2019.2918839 |
0.609 |
|
2019 |
Won JH, Kim M, Park BY, Youn J, Park H. Effectiveness of imaging genetics analysis to explain degree of depression in Parkinson's disease. Plos One. 14: e0211699. PMID 30742647 DOI: 10.1371/Journal.Pone.0211699 |
0.568 |
|
2018 |
Park BY, Lee MJ, Kim M, Kim SH, Park H. Structural and Functional Brain Connectivity Changes Between People With Abdominal and Non-abdominal Obesity and Their Association With Behaviors of Eating Disorders. Frontiers in Neuroscience. 12: 741. PMID 30364290 DOI: 10.3389/Fnins.2018.00741 |
0.505 |
|
2017 |
Kim M, Kim J, Lee SH, Park H. Imaging genetics approach to Parkinson's disease and its correlation with clinical score. Scientific Reports. 7: 46700. PMID 28429747 DOI: 10.1038/Srep46700 |
0.613 |
|
2016 |
Son SJ, Kim M, Park H. Imaging analysis of Parkinson's disease patients using SPECT and tractography. Scientific Reports. 6: 38070. PMID 27901100 DOI: 10.1038/Srep38070 |
0.592 |
|
2016 |
Kim M, Park H. Structural connectivity profile of scans without evidence of dopaminergic deficit (SWEDD) patients compared to normal controls and Parkinson's disease patients. Springerplus. 5: 1421. PMID 27625975 DOI: 10.1186/S40064-016-3110-8 |
0.509 |
|
2016 |
Kim M, Park H. Using Tractography to Distinguish SWEDD from Parkinson's Disease Patients Based on Connectivity. Parkinson's Disease. 2016: 8704910. PMID 27034889 DOI: 10.1155/2016/8704910 |
0.568 |
|
2015 |
Park BY, Kim M, Seo J, Lee JM, Park H. Connectivity Analysis and Feature Classification in Attention Deficit Hyperactivity Disorder Sub-Types: A Task Functional Magnetic Resonance Imaging Study. Brain Topography. PMID 26602102 DOI: 10.1007/S10548-015-0463-1 |
0.463 |
|
2015 |
Lee SH, Kim M, Park H. Planning for selective amygdalohippocampectomy involving less neuronal fiber damage based on brain connectivity using tractography. Neural Regeneration Research. 10: 1107-12. PMID 26330834 DOI: 10.4103/1673-5374.160104 |
0.453 |
|
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