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Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's Disease., , , , , and . ISBI, page 1920-1923. IEEE, (2020)A structural enriched functional network: An application to predict brain cognitive performance., , , , , , and . Medical Image Anal., (2021)Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data., , , , , , , and . BIBM, page 1381-1384. IEEE, (2021)Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment., , , , , and . BMC Bioinform., 23-S (3): 402 (2022)A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits., , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 678-687. Springer, (2021)Connectome transformer with anatomically inspired attention for Parkinson's diagnosis., , , , and . BCB, page 35:1-35:4. ACM, (2022)Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics., , , , , , , and . Medical Image Anal., (2022)CXR-LLaVA: Multimodal Large Language Model for Interpreting Chest X-ray Images., , , and . CoRR, (2023)GraphNet-based imaging biomarker model to explain levodopa-induced dyskinesia in Parkinson's disease., , , , and . Comput. Methods Programs Biomed., (2020)Estimating Hard-tissue Conditions from Dental Images via Machine Learning., , , , , and . BIBE, page 315-322. IEEE, (2020)