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Conference abstracts

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  1. Kim M, Yao X, Saykin AJ, Moore JH, Long Q, Kim D, Shen L. (2021) Identifying imaging genetics biomarkers in Alzheimer’s disease via integrating graph convolutional neural network and canonical correlation analysis. AAIC'21: Alzheimer's Association Int. Conf. on Alzheimer's Disease, Denver, USA and Online, July 26-30, 2021
     

  2. Feng Y, Kim M, Liu K, Saykin AJ, Moore JH, Long Q, Shen L. (2021) Identifying Multimodal Imaging-Driven Subtypes in Mild Cognitive Impairment using Deep Multiview Learning. AAIC'21: Alzheimer's Association Int. Conf. on Alzheimer's Disease, Denver, USA and Online, July 26-30, 2021.
     

  3. Lee G, Nho K, Suh E, Kim M, Shen L, Sohn KA, Kim D. (2021) Prediction of MCI-to-AD progression via integration of genetic data and longitudinal biomarkers, imaging and clinical data. AIC'21: Alzheimer's Imaging Consortium, Denver, USA and Online, July 26-30, 2021.
     

  4. Kim M, Wu R, Yao X, Saykin AJ, Moore JH, Shen L. (2021) Linking genetics to Alzheimer’s disease via human brain mapping. OHBM’21: Organization for Human Brain Mapping Ann Meeting, Virtual Conference, June 21-25, 2021.
     

  5. Kim M, Qu J, Huang H, Shen L. (2021) Detecting imaging biomarkers for Alzheimer’s disease via interpretable graph convolutional network. OHBM’21: Organization for Human Brain Mapping Ann Meeting, Virtual Conference, June 21-25, 2021.
     

  6. Kim M, Yao X, Park B, Yan J, Shen L. (2020) Imaging genetic strategies for predicting the quality of sleep using depression-specific biomarkers. OHBM’20: Organization for Human Brain Mapping Ann Meeting, Virtual Conference, June 26-30, 2020.
     

  7. Cong S, Yao X, Kim M, Xie L, Yan J, Shen L. (2020) Genome-wide brain-wide analysis of betweenness centrality: A structural connectome study. OHBM’20: Organization for Human Brain Mapping Ann Meeting, Virtual Conference, June 26-30, 2020.
     

  8. Sun Q, Huang Z, Kim M, Hara A, Maupome G, Shen L. (2020) Identifying hard-tissue conditions from dental images using convolutional neural network. ISBI’20: IEEE International Symposium on Biomedical Imaging, Iowa City, Iowa, April 3 - 7, 2020.
     

  9. Won JH, Kim M, Yoon J, Park H. (2018) Sparse canonical correlation analysis based on L1 regularization for investigating neuroimaging genetic bio-markers. KOSMBE'18: Spring meeting of Korean Society of Medical Biological and Engineering, XXX,  2018
     

  10. Son S-J, Kim M, Lee S-H, Park H. (2017) Connectional fingerprint of mild cognitive impairment based on FDG-PET and PiB-PET. NSS-MIC'17: IEEE Nuclear Science Symposium and Medical Imaging Conference, Atlanta, Georgia, October 21-28, 2017
     

  11. Lee S-H, Son S-J, Kim M, Park H. (2017) PET analysis using features from intensity size zone matrix for group difference between mild cognitive impairment and normal control. NSS-MIC'17: IEEE Nuclear Science Symposium and Medical Imaging Conference, Atlanta, Georgia, October 21-28, 2017
     

  12. Kim M, Park H. (2017) Multivariate imaging genetics analysis of Parkinson’s disease based on sparse canonical correlation analysis, IEIE'17: Summer Annual Conference of The Institute of Electronics and Information Engineering, XXX,  2017

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