| Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge X Zhuang, L Li, C Payer, D Štern, M Urschler, MP Heinrich, J Oster, ... Medical image analysis 58, 101537, 2019 | 268 | 2019 |
| A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ... Medical image analysis 67, 101832, 2021 | 244 | 2021 |
| Learning calibrated medical image segmentation via multi-rater agreement modeling W Ji, S Yu, J Wu, K Ma, C Bian, Q Bi, J Li, H Liu, L Cheng, Y Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 134 | 2021 |
| Mil-vt: Multiple instance learning enhanced vision transformer for fundus image classification S Yu, K Ma, Q Bi, C Bian, M Ning, N He, Y Li, H Liu, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 121 | 2021 |
| Towards automated semantic segmentation in prenatal volumetric ultrasound X Yang, L Yu, S Li, H Wen, D Luo, C Bian, J Qin, D Ni, PA Heng IEEE transactions on medical imaging 38 (1), 180-193, 2018 | 111 | 2018 |
| Comparing to learn: Surpassing imagenet pretraining on radiographs by comparing image representations HY Zhou, S Yu, C Bian, Y Hu, K Ma, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 101 | 2020 |
| Class-balanced deep neural network for automatic ventricular structure segmentation X Yang, C Bian, L Yu, D Ni, PA Heng Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 76 | 2018 |
| Hybrid loss guided convolutional networks for whole heart parsing X Yang, C Bian, L Yu, D Ni, PA Heng Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 73 | 2018 |
| Self-co-attention neural network for anatomy segmentation in whole breast ultrasound B Lei, S Huang, H Li, R Li, C Bian, YH Chou, J Qin, P Zhou, X Gong, ... Medical image analysis 64, 101753, 2020 | 65 | 2020 |
| Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder–decoder network B Lei, S Huang, R Li, C Bian, H Li, YH Chou, JZ Cheng Neurocomputing 321, 178-186, 2018 | 63 | 2018 |
| Uncertainty-aware domain alignment for anatomical structure segmentation C Bian, C Yuan, J Wang, M Li, X Yang, S Yu, K Ma, J Yuan, Y Zheng Medical Image Analysis 64, 101732, 2020 | 59 | 2020 |
| Age challenge: angle closure glaucoma evaluation in anterior segment optical coherence tomography H Fu, F Li, X Sun, X Cao, J Liao, JI Orlando, X Tao, Y Li, S Zhang, M Tan, ... Medical Image Analysis 66, 101798, 2020 | 51 | 2020 |
| Multi-anchor active domain adaptation for semantic segmentation M Ning, D Lu, D Wei, C Bian, C Yuan, S Yu, K Ma, Y Zheng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 46 | 2021 |
| Pyramid network with online hard example mining for accurate left atrium segmentation C Bian, X Yang, J Ma, S Zheng, YA Liu, R Nezafat, PA Heng, Y Zheng international workshop on statistical atlases and computational models of …, 2018 | 44 | 2018 |
| Generalizing deep models for ultrasound image segmentation X Yang, H Dou, R Li, X Wang, C Bian, S Li, D Ni, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 38 | 2018 |
| 3D convolutional networks for fully automatic fine-grained whole heart partition X Yang, C Bian, L Yu, D Ni, PA Heng Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 36 | 2018 |
| 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 |
| Boundary regularized convolutional neural network for layer parsing of breast anatomy in automated whole breast ultrasound C Bian, R Lee, YH Chou, JZ Cheng Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 34 | 2017 |
| Domain adaptation meets zero-shot learning: an annotation-efficient approach to multi-modality medical image segmentation C Bian, C Yuan, K Ma, S Yu, D Wei, Y Zheng IEEE Transactions on Medical Imaging 41 (5), 1043-1056, 2021 | 33 | 2021 |
| Proco: Prototype-aware contrastive learning for long-tailed medical image classification Z Yang, J Pan, Y Yang, X Shi, HY Zhou, Z Zhang, C Bian International conference on medical image computing and computer-assisted …, 2022 | 26 | 2022 |
Yefeng ZhengTencent, Shenzhen, China, IEEE Fellow, AIMBE FellowVerified email at tencent.com
![Jie-Zhi Cheng [鄭介誌]](https://scholar.googleusercontent.com/citations?view_op=small_photo&user=tSpNhZcAAAAJ&citpid=17)
