| Inf-net: Automatic covid-19 lung infection segmentation from ct images DP Fan, T Zhou, GP Ji, Y Zhou, G Chen, H Fu, J Shen, L Shao IEEE transactions on medical imaging 39 (8), 2626-2637, 2020 | 1160 | 2020 |
| Pranet: Parallel reverse attention network for polyp segmentation DP Fan, GP Ji, T Zhou, G Chen, H Fu, J Shen, L Shao International conference on medical image computing and computer-assisted …, 2020 | 1150 | 2020 |
| Hi-net: hybrid-fusion network for multi-modal MR image synthesis T Zhou, H Fu, G Chen, J Shen, L Shao IEEE transactions on medical imaging 39 (9), 2772-2781, 2020 | 284 | 2020 |
| RGB-D salient object detection: A survey T Zhou, DP Fan, MM Cheng, J Shen, L Shao Computational Visual Media 7, 37-69, 2021 | 266 | 2021 |
| Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis T Zhou, KH Thung, X Zhu, D Shen Human brain mapping 40 (3), 1001-1016, 2019 | 237 | 2019 |
| Synthesizing missing PET from MRI with cycle-consistent generative adversarial networks for Alzheimer’s disease diagnosis Y Pan, M Liu, C Lian, T Zhou, Y Xia, D Shen Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 204 | 2018 |
| Specificity-preserving RGB-D Saliency Detection T Zhou, H Fu, G Chen, Y Zhou, DP Fan, L Shao ICCV 2021, 2021 | 198 | 2021 |
| Latent representation learning for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimaging and genetic data T Zhou, M Liu, KH Thung, D Shen IEEE transactions on medical imaging 38 (10), 2411-2422, 2019 | 178 | 2019 |
| Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images X Chen, L Yao, T Zhou, J Dong, Y Zhang Pattern recognition 113, 107826, 2021 | 175 | 2021 |
| Context-aware cross-level fusion network for camouflaged object detection Y Sun, G Chen, T Zhou, Y Zhang, N Liu arXiv preprint arXiv:2105.12555, 2021 | 172 | 2021 |
| Dual shared-specific multiview subspace clustering T Zhou, C Zhang, X Peng, H Bhaskar, J Yang IEEE transactions on cybernetics 50 (8), 3517-3530, 2019 | 139 | 2019 |
| Exploiting convolutional neural networks with deeply local description for remote sensing image classification N Liu, L Wan, Y Zhang, T Zhou, H Huo, T Fang IEEE access 6, 11215-11228, 2018 | 134 | 2018 |
| Camouflaged object detection via context-aware cross-level fusion G Chen, SJ Liu, YJ Sun, GP Ji, YF Wu, T Zhou IEEE Transactions on Circuits and Systems for Video Technology 32 (10), 6981 …, 2022 | 105 | 2022 |
| Feature aggregation and propagation network for camouflaged object detection T Zhou, Y Zhou, C Gong, J Yang, Y Zhang IEEE Transactions on Image Processing 31, 7036-7047, 2022 | 84 | 2022 |
| Cross-level feature aggregation network for polyp segmentation T Zhou, Y Zhou, K He, C Gong, J Yang, H Fu, D Shen Pattern Recognition 140, 109555, 2023 | 83 | 2023 |
| Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data T Zhou, KH Thung, M Liu, F Shi, C Zhang, D Shen Medical image analysis 60, 101630, 2020 | 83 | 2020 |
| Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis Y Liu, L Fan, C Zhang, T Zhou, Z Xiao, L Geng, D Shen Medical Image Analysis 69, 101953, 2021 | 68 | 2021 |
| Robust visual tracking revisited: From correlation filter to template matching F Liu, C Gong, X Huang, T Zhou, J Yang, D Tao IEEE Transactions on Image Processing 27 (6), 2777-2790, 2018 | 67 | 2018 |
| Light field salient object detection: A review and benchmark K Fu, Y Jiang, GP Ji, T Zhou, Q Zhao, DP Fan Computational Visual Media 8 (4), 509-534, 2022 | 66 | 2022 |
| Can sam segment polyps? T Zhou, Y Zhang, Y Zhou, Y Wu, C Gong arXiv preprint arXiv:2304.07583, 2023 | 63 | 2023 |
Huazhu FuPrincipal Scientist, IHPC, A*STAR在 ieee.org 的电子邮件经过验证
