Xiaoke Hao
Orcid: 0000-0003-3281-3340
According to our database1,
Xiaoke Hao
authored at least 27 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Multim. Tools Appl., May, 2024
Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease.
Comput. Biol. Medicine, January, 2024
Neural Comput. Appl., 2024
2023
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics.
IEEE Trans. Biomed. Eng., March, 2023
Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease.
IEEE Trans. Cogn. Dev. Syst., 2023
Int. J. Autom. Comput., 2023
2022
Multi-scale gradient attention guidance and adaptive style fusion for image inpainting.
J. Vis. Commun. Image Represent., 2022
JAC-Net: Joint learning with adaptive exploration and concise attention for unsupervised domain adaptive person re-identification.
Neurocomputing, 2022
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis.
Bioinform., 2022
Design and Practice of Multi-level Programming Experimental Teaching for Emerging Engineering Education.
Proceedings of the Computer Science and Education - 17th International Conference, 2022
2021
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Image Process., 2021
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
2020
Neuroinformatics, 2020
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.
Medical Image Anal., 2020
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
Medical Image Anal., 2020
2019
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification.
IEEE J. Biomed. Health Informatics, 2019
Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Neurocomputing, 2019
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.
Bioinform., 2019
IEEE Access, 2019
2017
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
Bioinform., 2017
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Neuroinformatics, 2016
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
2014
Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013