| Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease X Hao, Y Bao, Y Guo, M Yu, D Zhang, SL Risacher, AJ Saykin, X Yao, ... Medical image analysis 60, 101625, 2020 | 140 | 2020 |
| Hypergraph neural network for skeleton-based action recognition X Hao, J Li, Y Guo, T Jiang, M Yu IEEE Transactions on image processing 30, 2263-2275, 2021 | 69 | 2021 |
| Multiple Effect of APOE Genotype on Clinical and Neuroimaging Biomarkers Across Alzheimer’s Disease Spectrum Y Liu, L Tan, HF Wang, Y Liu, XK Hao, CC Tan, T Jiang, B Liu, DQ Zhang, ... Molecular neurobiology 53, 4539-4547, 2016 | 53 | 2016 |
| Bridging integrator 1 (BIN1) genotypes mediate Alzheimer’s disease risk by altering neuronal degeneration HF Wang, Y Wan, XK Hao, L Cao, XC Zhu, T Jiang, MS Tan, L Tan, ... Journal of Alzheimer's Disease 52 (1), 179-190, 2016 | 52 | 2016 |
| Mining outcome-relevant brain imaging genetic associations via three-way sparse canonical correlation analysis in Alzheimer’s disease X Hao, C Li, L Du, X Yao, J Yan, SL Risacher, AJ Saykin, L Shen, ... Scientific reports 7 (1), 44272, 2017 | 49 | 2017 |
| Association between NME8 locus polymorphism and cognitive decline, cerebrospinal fluid and neuroimaging biomarkers in Alzheimer's disease Y Liu, JT Yu, HF Wang, XK Hao, YF Yang, T Jiang, XC Zhu, L Cao, ... PLos one 9 (12), e114777, 2014 | 46 | 2014 |
| Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis X Hao, C Li, J Yan, X Yao, SL Risacher, AJ Saykin, L Shen, D Zhang, ... Bioinformatics 33 (14), i341-i349, 2017 | 42 | 2017 |
| Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis B Lei, Y Zhao, Z Huang, X Hao, F Zhou, A Elazab, J Qin, H Lei Medical Image Analysis 61, 101632, 2020 | 37 | 2020 |
| Identifying resting-state multifrequency biomarkers via tree-guided group sparse learning for schizophrenia classification J Huang, Q Zhu, X Hao, X Shi, S Gao, X Xu, D Zhang IEEE journal of biomedical and health informatics 23 (1), 342-350, 2018 | 35 | 2018 |
| Multi-modal AD classification via self-paced latent correlation analysis Q Zhu, N Yuan, J Huang, X Hao, D Zhang Neurocomputing 355, 143-154, 2019 | 33 | 2019 |
| Identifying multimodal intermediate phenotypes between genetic risk factors and disease status in Alzheimer’s disease X Hao, X Yao, J Yan, SL Risacher, AJ Saykin, D Zhang, L Shen, ... Neuroinformatics 14, 439-452, 2016 | 33 | 2016 |
| Effect of EPHA1 genetic variation on cerebrospinal fluid and neuroimaging biomarkers in healthy, mild cognitive impairment and Alzheimer's disease cohorts HF Wang, L Tan, XK Hao, T Jiang, MS Tan, Y Liu, DQ Zhang, JT Yu, ... Journal of Alzheimer's disease 44 (1), 115-123, 2015 | 28 | 2015 |
| Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer’s disease M Wang, X Hao, J Huang, W Shao, D Zhang Bioinformatics 35 (11), 1948-1957, 2019 | 25 | 2019 |
| ABCA7 genotypes confer Alzheimer’s disease risk by modulating amyloid-β pathology QF Zhao, Y Wan, HF Wang, FR Sun, XK Hao, MS Tan, CC Tan, DQ Zhang, ... Journal of Alzheimer's Disease 52 (2), 693-703, 2016 | 19 | 2016 |
| Common variants in PLD3 and correlation to amyloid-related phenotypes in Alzheimer’s disease C Wang, L Tan, HF Wang, WJ Yu, Y Liu, T Jiang, MS Tan, XK Hao, ... Journal of Alzheimer's disease 46 (2), 491-495, 2015 | 19 | 2015 |
| Identifying genetic associations with MRI-derived measures via tree-guided sparse learning X Hao, J Yu, D Zhang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 16 | 2014 |
| Identify consistent cross-modality imaging genetic patterns via discriminant sparse canonical correlation analysis M Wang, W Shao, X Hao, L Shen, D Zhang IEEE/ACM transactions on computational biology and bioinformatics 18 (4 …, 2019 | 15 | 2019 |
| Hierarchical structured sparse learning for schizophrenia identification M Wang, X Hao, J Huang, K Wang, L Shen, X Xu, D Zhang, M Liu Neuroinformatics 18, 43-57, 2020 | 12 | 2020 |
| Identifying candidate genetic associations with MRI-derived AD-related ROI via tree-guided sparse learning X Hao, X Yao, SL Risacher, AJ Saykin, J Yu, H Wang, L Tan, L Shen, ... IEEE/ACM transactions on computational biology and bioinformatics 16 (6 …, 2018 | 12 | 2018 |
| Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis M Wang, W Shao, X Hao, S Huang, D Zhang Bioinformatics 38 (8), 2323-2332, 2022 | 11 | 2022 |
Daoqiang ZhangNanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
