| Deep Learning in Medical Ultrasound Analysis: A Review S Liu, Y Wang, X Yang, B Lei, L Liu, SX Li, D Ni, T Wang Engineering 5 (2), 261-275, 2019 | 676 | 2019 |
| Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound Y Wang, H Dou, X Hu, L Zhu, X Yang, M Xu, J Qin, PA Heng, T Wang, ... IEEE Transactions on Medical Imaging 38 (12), 2768-2778, 2019 | 165 | 2019 |
| Deeply-Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound Y Wang, N Wang, M Xu, J Yu, C Qin, X Luo, X Yang, T Wang, A Li, D Ni IEEE Transactions on Medical Imaging 39 (4), 866-876, 2020 | 140 | 2020 |
| Deep attentional features for prostate segmentation in ultrasound Y Wang, Z Deng, X Hu, L Zhu, X Yang, X Xu, PA Heng, D Ni Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 134 | 2018 |
| Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting J Li, Y Wang, B Lei, JZ Cheng, J Qin, T Wang, S Li, D Ni IEEE Journal of Biomedical and Health Informatics 22 (1), 215-223, 2018 | 102 | 2018 |
| Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images X Yang, L Yu, L Wu, Y Wang, D Ni, J Qin, PA Heng Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 92 | 2017 |
| Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels C Han, J Lin, J Mai, Y Wang, Q Zhang, B Zhao, X Chen, X Pan, Z Shi, Z Xu, ... Medical Image Analysis 80, 102487, 2022 | 51 | 2022 |
| Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration Y Wang, JZ Cheng, D Ni, M Lin, J Qin, X Luo, M Xu, X Xie, PA Heng IEEE Transactions on Medical Imaging 35 (2), 589-604, 2016 | 51 | 2016 |
| Combating uncertainty with novel losses for automatic left atrium segmentation X Yang, N Wang, Y Wang, X Wang, R Nezafat, D Ni, PA Heng Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 42 | 2019 |
| Densely deep supervised networks with threshold loss for cancer detection in automated breast ultrasound N Wang, C Bian, Y Wang, M Xu, C Qin, X Yang, T Wang, A Li, D Shen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 36 | 2018 |
| Ranet: Region attention network for semantic segmentation D Shen, Y Ji, P Li, Y Wang, D Lin Advances in Neural Information Processing Systems 33, 13927-13938, 2020 | 33 | 2020 |
| Variance‐aware attention U‐Net for multi‐organ segmentation H Lin, Z Li, Z Yang, Y Wang Medical Physics 48 (12), 7864-7876, 2021 | 24 | 2021 |
| 3D Inception U‐net with Asymmetric Loss for Cancer Detection in Automated Breast Ultrasound Y Wang, C Qin, C Lin, D Lin, M Xu, X Luo, T Wang, A Li, D Ni Medical Physics 47 (11), 5582-5591, 2020 | 23 | 2020 |
| Reciprocal learning for semi-supervised segmentation X Zeng, R Huang, Y Zhong, D Sun, C Han, D Lin, D Ni, Y Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 22 | 2021 |
| Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes X Yang, X Wang, Y Wang, H Dou, S Li, H Wen, Y Lin, PA Heng, D Ni Computer Methods and Programs in Biomedicine, 105519, 2020 | 22 | 2020 |
| Multitask feature learning meets robust tensor decomposition for eeg classification Q Zheng, Y Wang, PA Heng IEEE Transactions on Cybernetics 51 (4), 2242-2252, 2021 | 20 | 2021 |
| Joint affine and deformable three‐dimensional networks for brain MRI registration Z Zhu, Y Cao, C Qin, Y Rao, D Lin, Q Dou, D Ni, Y Wang Medical Physics 48 (3), 1182-1196, 2021 | 18 | 2021 |
| Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS J Liang, X Yang, H Li, Y Wang, MT Van, H Dou, C Chen, J Fang, X Liang, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1793-1797, 2020 | 17 | 2020 |
| Online Robust Image Alignment via Subspace Learning From Gradient Orientations Q Zheng, Y Wang, PA Heng Proceedings of the IEEE Conference on Computer Vision, 1753-1762, 2017 | 16 | 2017 |
| Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound X Yang, H Li, Y Wang, X Liang, C Chen, X Zhou, F Zeng, J Fang, A Frangi, ... Medical Image Analysis 73, 102134, 2021 | 15 | 2021 |
Dong NiShenzhen University在 szu.edu.cn 的电子邮件经过验证
![Jie-Zhi Cheng [鄭介誌]](https://images.xueshu.lanfanshu.cn/citations?view_op=small_photo&user=tSpNhZcAAAAJ&citpid=17)
