| CE-Net: Context encoder network for 2D medical image segmentation Z Gu, J Cheng, H Fu, K Zhou, H Hao, Y Zhao, T Zhang, S Gao, J Liu IEEE Transactions on Medical Imaging 38 (10), 2281-2292, 2019 | 2099 | 2019 |
| PraNet: Parallel Reverse Attention Network for Polyp Segmentation DP Fan, GP Ji, T Zhou, G Chen, H Fu, J Shen, L Shao MICCAI, 2020 | 1465 | 2020 |
| Generalized latent multi-view subspace clustering C Zhang, H Fu, Q Hu, X Cao, Y Xie, D Tao, D Xu IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (1), 86-99, 2020 | 1272* | 2020 |
| 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, 2020 | 1255 | 2020 |
| Joint optic disc and cup segmentation based on multi-label deep network and polar transformation H Fu, J Cheng, Y Xu, DWK Wong, J Liu, X Cao IEEE Transactions on Medical Imaging, 2018 | 947 | 2018 |
| Salient object detection in the deep learning era: An in-depth survey W Wang, Q Lai, H Fu, J Shen, H Ling, R Yang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 812 | 2021 |
| DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field H Fu, Y Xu, S Lin, DWK Wong, J Liu MICCAI, 132-139, 2016 | 809* | 2016 |
| Transformers in medical imaging: A survey F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu Medical Image Analysis 88, 102802, 2023 | 757 | 2023 |
| REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K van Keer, DR Bathula, A Diaz-Pinto, R Fang, ... Medical image analysis 59, 101570, 2020 | 684 | 2020 |
| Tensorized Multi-view Subspace Representation Learning C Zhang, H Fu, J Wang, W Li, X Cao, Q Hu International Journal of Computer Vision, 1-18, 2020 | 678* | 2020 |
| Latent multi-view subspace clustering C Zhang, Q Hu, H Fu, P Zhu, X Cao Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 596 | 2017 |
| Cluster-Based Co-Saliency Detection H Fu, X Cao, Z Tu IEEE Transactions on Image Processing 22 (10), 3766-3778, 2013 | 483 | 2013 |
| Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation J Wu, W Ji, H Fu, M Xu, Y Xu, Y Jin arXiv preprint arXiv:2304.12620, 2023 | 475 | 2023 |
| Polyp-pvt: Polyp segmentation with pyramid vision transformers B Dong, W Wang, DP Fan, J Li, H Fu, L Shao arXiv preprint arXiv:2108.06932, 2021 | 437 | 2021 |
| Review of visual saliency detection with comprehensive information R Cong, J Lei, H Fu, MM Cheng, W Lin, Q Huang IEEE Transactions on circuits and Systems for Video Technology 29 (10), 2941 …, 2018 | 428 | 2018 |
| Trusted multi-view classification with dynamic evidential fusion Z Han, C Zhang, H Fu, JT Zhou IEEE transactions on pattern analysis and machine intelligence 45 (2), 2551-2566, 2022 | 426* | 2022 |
| Disc-aware ensemble network for glaucoma screening from fundus image H Fu, J Cheng, Y Xu, C Zhang, DWK Wong, J Liu, X Cao IEEE transactions on medical imaging 37 (11), 2493-2501, 2018 | 423 | 2018 |
| Depth enhanced saliency detection method Y Cheng, H Fu, X Wei, J Xiao, X Cao Proceedings of international conference on internet multimedia computing and …, 2014 | 385 | 2014 |
| Deep Partial Multi-View Learning C Zhang, Y Cui, Z Han, JT Zhou, H Fu, Q Hu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (5), 2402 …, 2022 | 376* | 2022 |
| 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 | 327 | 2020 |
Jiang LiuSouthern University of Science and Technologysustech.edu.cn의 이메일 확인됨