| CA-Net: Comprehensive attention convolutional neural networks for explainable medical image segmentation R Gu, G Wang, T Song, R Huang, M Aertsen, J Deprest, S Ourselin, ... IEEE transactions on medical imaging 40 (2), 699-711, 2020 | 413 | 2020 |
| Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention H Mei, W Lei, R Gu, S Ye, Z Sun, S Zhang, G Wang Neurocomputing 438, 211-222, 2021 | 27 | 2021 |
| Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss W Lei, H Mei, Z Sun, S Ye, R Gu, H Wang, R Huang, S Zhang, S Zhang, ... Neurocomputing 442, 184-199, 2021 | 26 | 2021 |
| Domain composition and attention for unseen-domain generalizable medical image segmentation R Gu, J Zhang, R Huang, W Lei, G Wang, S Zhang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 26 | 2021 |
| Contrastive semi-supervised learning for domain adaptive segmentation across similar anatomical structures R Gu, J Zhang, G Wang, W Lei, T Song, X Zhang, K Li, S Zhang IEEE Transactions on Medical Imaging 42 (1), 245-256, 2022 | 25 | 2022 |
| PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation G Wang, X Luo, R Gu, S Yang, Y Qu, S Zhai, Q Zhao, K Li, S Zhang Computer Methods and Programs in Biomedicine 231, 107398, 2023 | 20 | 2023 |
| Contrastive learning of relative position regression for one-shot object localization in 3D medical images W Lei, W Xu, R Gu, H Fu, S Zhang, S Zhang, G Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 18 | 2021 |
| Myocardial edema and scar segmentation using a coarse-to-fine framework with weighted ensemble S Zhai*, R Gu*, W Lei, G Wang Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, 49-59, 2020 | 18 | 2020 |
| Comprehensive importance-based selective regularization for continual segmentation across multiple sites J Zhang*, R Gu*, G Wang, L Gu International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 15 | 2021 |
| DeepIGeoS-V2: Deep interactive segmentation of multiple organs from head and neck images with lightweight CNNs W Lei, H Wang, R Gu, S Zhang, S Zhang, G Wang Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and …, 2019 | 15 | 2019 |
| Fpl-uda: Filtered pseudo label-based unsupervised cross-modality adaptation for vestibular schwannoma segmentation J Wu, R Gu, G Dong, G Wang, S Zhang 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 10 | 2022 |
| One-shot weakly-supervised segmentation in 3D medical images W Lei, Q Su, T Jiang, R Gu, N Wang, X Liu, G Wang, X Zhang, S Zhang IEEE Transactions on Medical Imaging, 2023 | 7 | 2023 |
| Priori and posteriori attention for generalizing head and neck tumors segmentation J Lu, W Lei, R Gu, G Wang 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 134-140, 2021 | 7 | 2021 |
| SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation J Zhang*, R Gu*, G Wang, H Xie, L Gu arXiv preprint arXiv:2105.02674, 2021 | 7 | 2021 |
| CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation R Gu, G Wang, J Lu, J Zhang, W Lei, Y Chen, W Liao, S Zhang, K Li, ... Medical Image Analysis 89, 102904, 2023 | 6 | 2023 |
| Automated segmentation of intervertebral disc using fully dilated separable deep neural networks H Wang*, R Gu*, Z Li International Workshop and Challenge on Computational Methods and Clinical …, 2018 | 6 | 2018 |
| S 3 R: Shape and Semantics-based Selective Regularization for Explainable Continual Segmentation across Multiple Sites J Zhang*, R Gu*, P Xue, M Liu, H Zheng, Y Zheng, L Ma, G Wang, L Gu IEEE Transactions on Medical Imaging, 2023 | 3 | 2023 |
| Contrastive domain disentanglement for generalizable medical image segmentation R Gu, J Lu, J Zhang, W Lei, X Zhang, G Wang, S Zhang arXiv preprint arXiv:2205.06551, 2022 | 2 | 2022 |
| UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation J Wu, G Wang, R Gu, T Lu, Y Chen, W Zhu, T Vercauteren, S Ourselin, ... IEEE transactions on medical imaging, 2023 | 1 | 2023 |
| Upl-tta: Uncertainty-aware pseudo label guided fully test time adaptation for fetal brain segmentation J Wu, R Gu, T Lu, S Zhang, G Wang International Conference on Information Processing in Medical Imaging, 237-249, 2023 | 1 | 2023 |
Guotai WangProfessor, University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
