| Adversarial attack on hierarchical graph pooling neural networks H Tang, G Ma, Y Chen, L Guo, W Wang, B Zeng, L Zhan arXiv preprint arXiv:2005.11560, 2020 | 37 | 2020 |
| Contrastive brain network learning via hierarchical signed graph pooling model H Tang, G Ma, L Guo, X Fu, H Huang, L Zhan IEEE transactions on neural networks and learning systems, 2022 | 19 | 2022 |
| The added value of diffusion-weighted mri-derived structural connectome in evaluating mild cognitive impairment: A multi-cohort validation Q Wang, L Guo, PM Thompson, CR Jack Jr, H Dodge, L Zhan, J Zhou, ... Journal of Alzheimer's Disease 64 (1), 149-169, 2018 | 14 | 2018 |
| Brain dynamics through the lens of statistical mechanics by unifying structure and function I Fortel, M Butler, LE Korthauer, L Zhan, O Ajilore, I Driscoll, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 11 | 2019 |
| Signed graph representation learning for functional-to-structural brain network mapping H Tang, L Guo, X Fu, Y Wang, S Mackin, O Ajilore, AD Leow, ... Medical image analysis 83, 102674, 2023 | 10 | 2023 |
| A hierarchical graph learning model for brain network regression analysis H Tang, L Guo, X Fu, B Qu, O Ajilore, Y Wang, PM Thompson, H Huang, ... Frontiers in Neuroscience 16, 963082, 2022 | 9 | 2022 |
| Hierarchical brain embedding using explainable graph learning H Tang, L Guo, X Fu, B Qu, PM Thompson, H Huang, L Zhan 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 9 | 2022 |
| The oblique effect: The relationship between profiles of visuospatial preference, cognition, and brain connectomics in older adults JC Peven, Y Chen, L Guo, L Zhan, EA Boots, C Dion, DJ Libon, ... Neuropsychologia 135, 107236, 2019 | 7 | 2019 |
| Classifying stages of mild cognitive impairment via augmented graph embedding H Tang, L Guo, E Dennis, PM Thompson, H Huang, O Ajilore, AD Leow, ... Multimodal Brain Image Analysis and Mathematical Foundations of …, 2019 | 6 | 2019 |
| Bidirectional mapping with contrastive learning on multimodal neuroimaging data K Ye, H Tang, S Dai, L Guo, JY Liu, Y Wang, A Leow, PM Thompson, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 5 | 2023 |
| Investigating the effect of neuropsychiatric symptoms on Alzheimer’s diagnosis using multi‐modal brain networks L Guo, Y Zhang, H Tang, SR Mackin, PM Thompson, H Huang, L Zhan Alzheimer's & Dementia 19, e080376, 2023 | 2 | 2023 |
| A generalized framework of pathlength associated community estimation for brain structural network Y Chen, H Tang, L Guo, JC Peven, H Huang, AD Leow, M Lamar, L Zhan 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 288-291, 2020 | 1 | 2020 |
| Functional2Structural: Cross-Modality Brain Networks Representation Learning H Tang, X Fu, L Guo, Y Wang, S Mackin, O Ajilore, A Leow, P Thompson, ... arXiv preprint arXiv:2205.07854, 2022 | | 2022 |
| Identifying Configurational Abnormalities in Alzheimer’S Disease Progression Using Multi-View Structure Connectome L Guo, H Tang, Q Wang, E Dennis, D Zhu, H Huang, O Ajilore, AD Leow, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | | 2019 |
