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Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia., , , and . IScIDE (2), volume 11936 of Lecture Notes in Computer Science, page 356-368. Springer, (2019)Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning., , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 757-764. Springer, (2014)Gradient Hyperalignment for Multi-subject fMRI Data Alignment., , and . PRICAI (1), volume 11012 of Lecture Notes in Computer Science, page 1058-1068. Springer, (2018)Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction., , , , , and . Pattern Recognit., (2023)Two-Stage Cost-Sensitive Learning for Software Defect Prediction., , and . IEEE Trans. Reliab., 63 (2): 676-686 (2014)Automatic estimation of morphological characteristics of proximal tibia for precise plate treatment using model matching., , , , , , , , and . Comput. Medical Imaging Graph., (2020)A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment., , and . CoRR, (2019)Nyström Subspace Learning for Large-scale SVMs., , and . CoRR, (2020)Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT., , , , , , , , , and 8 other author(s). IEEE J. Biomed. Health Informatics, 24 (10): 2798-2805 (2020)Erratum to multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease Neuroimage 59/2 (2012) 895-907., and . NeuroImage, 62 (3): 2179 (2012)