| Domain adaptation for medical image analysis: a survey H Guan, M Liu IEEE Transactions on Biomedical Engineering 69 (3), 1173-1185, 2021 | 429 | 2021 |
| Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification H Guan, Y Liu, E Yang, PT Yap, D Shen, M Liu Medical image analysis 71, 102076, 2021 | 83 | 2021 |
| Advances on application of deep learning for video object tracking H Guan, XY Xue, ZY An Acta Automatica Sinica 42 (6), 834-847, 2016 | 43 | 2016 |
| A local adaptive learning system for online portfolio selection H Guan, Z An Knowledge-Based Systems 186, 104958, 2019 | 34 | 2019 |
| Attention-guided deep domain adaptation for brain dementia identification with multi-site neuroimaging data H Guan, E Yang, PT Yap, D Shen, M Liu MICCAI Workshop on Domain Adaptation and Representation Transfer, 31-40, 2020 | 13 | 2020 |
| DomainATM: domain adaptation toolbox for medical data analysis H Guan, M Liu NeuroImage 268, 119863, 2023 | 11 | 2023 |
| Multi-source domain adaptation via optimal transport for brain dementia identification H Guan, L Wang, M Liu 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1514-1517, 2021 | 11 | 2021 |
| How do deep convolutional features affect tracking performance: an experimental study H Guan, B Cheng The Visual Computer 34 (12), 1701-1711, 2018 | 10 | 2018 |
| Automatic tagging by leveraging visual and annotated features in social media J Chen, P Ying, X Fu, X Luo, H Guan, K Wei IEEE Transactions on Multimedia 24, 2218-2229, 2021 | 9 | 2021 |
| Online video tracking using collaborative convolutional networks H Guan, X Xue, A Zhiyong 2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016 | 8 | 2016 |
| Federated learning for medical image analysis: A survey H Guan, PT Yap, A Bozoki, M Liu Pattern Recognition, 110424, 2024 | 7 | 2024 |
| Fast image-level MRI harmonization via spectrum analysis H Guan, S Liu, W Lin, PT Yap, M Liu International Workshop on Machine Learning in Medical Imaging, 201-209, 2022 | 7 | 2022 |
| Tensor-based multi-index representation learning for major depression disorder detection with resting-state fMRI D Yao, E Yang, H Guan, J Sui, Z Zhang, M Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 7 | 2021 |
| Deep disentangled hashing with momentum triplets for neuroimage search E Yang, D Yao, B Cao, H Guan, PT Yap, D Shen, M Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 7 | 2020 |
| Domain-prior-induced structural MRI adaptation for clinical progression prediction of subjective cognitive decline M Yu, H Guan, Y Fang, L Yue, M Liu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 6 | 2022 |
| Application progress and prospect of deep learning in video target tracking H Guan, X Xue, Z An Acta Automatica Sinica 42 (6), 834-847, 2016 | 6 | 2016 |
| Learning transferable 3D-CNN for MRI-based brain disorder classification from scratch: An empirical study H Guan, L Wang, D Yao, A Bozoki, M Liu Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 4 | 2021 |
| Cost-sensitive meta-learning for progress prediction of subjective cognitive decline with brain structural MRI H Guan, Y Liu, S Xiao, L Yue, M Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 3 | 2021 |
| Attention-guided autoencoder for automated progression prediction of subjective cognitive decline with structural MRI H Guan, L Yue, PT Yap, S Xiao, A Bozoki, M Liu IEEE journal of biomedical and health informatics, 2023 | 1 | 2023 |
| Linking adolescent brain MRI to obesity via deep multi-cue regression network H Guan, E Yang, L Wang, PT Yap, M Liu, D Shen Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 1 | 2020 |
