| Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study X Zhen, J Chen, Z Zhong, B Hrycushko, L Zhou, S Jiang, K Albuquerque, ... Physics in Medicine & Biology 62 (21), 8246, 2017 | 183 | 2017 |
| Self-loop uncertainty: A novel pseudo-label for semi-supervised medical image segmentation Y Li, J Chen, X Xie, K Ma, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 110 | 2020 |
| Computer-aided cervical cancer diagnosis using time-lapsed colposcopic images Y Li, J Chen, P Xue, C Tang, J Chang, C Chu, K Ma, Q Li, Y Zheng, ... IEEE transactions on medical imaging 39 (11), 3403-3415, 2020 | 94 | 2020 |
| Efficient and effective training of COVID-19 classification networks with self-supervised dual-track learning to rank Y Li, D Wei, J Chen, S Cao, H Zhou, Y Zhu, J Wu, L Lan, W Sun, T Qian, ... IEEE Journal of Biomedical and Health Informatics 24 (10), 2787-2797, 2020 | 72 | 2020 |
| Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies P Xue, C Tang, Q Li, Y Li, Y Shen, Y Zhao, J Chen, J Wu, L Li, W Wang, ... BMC medicine 18, 1-10, 2020 | 66 | 2020 |
| Instance-aware self-supervised learning for nuclei segmentation X Xie, J Chen, Y Li, L Shen, K Ma, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 62 | 2020 |
| InDuDoNet: An interpretable dual domain network for CT metal artifact reduction H Wang, Y Li, H Zhang, J Chen, K Ma, D Meng, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 46 | 2021 |
| An anthropomorphic abdominal phantom for deformable image registration accuracy validation in adaptive radiation therapy Y Liao, L Wang, X Xu, H Chen, J Chen, G Zhang, H Lei, R Wang, S Zhang, ... Medical physics 44 (6), 2369-2378, 2017 | 39 | 2017 |
| OctopusNet: a deep learning segmentation network for multi-modal medical images Y Chen, J Chen, D Wei, Y Li, Y Zheng Multiscale Multimodal Medical Imaging: First International Workshop, MMMI …, 2020 | 37 | 2020 |
| Investigating rectal toxicity associated dosimetric features with deformable accumulated rectal surface dose maps for cervical cancer radiotherapy J Chen, H Chen, Z Zhong, Z Wang, B Hrycushko, L Zhou, S Jiang, ... Radiation oncology 13, 1-10, 2018 | 36 | 2018 |
| Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation X Xie, J Chen, Y Li, L Shen, K Ma, Y Zheng Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
| MIGAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint X Xie, J Chen, Y Li, L Shen, K Ma, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 27 | 2020 |
| Generative adversarial networks for video-to-video domain adaptation J Chen, Y Li, K Ma, Y Zheng Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3462-3469, 2020 | 26 | 2020 |
| Beyond mutual information: Generative adversarial network for domain adaptation using information bottleneck constraint J Chen, Z Zhang, X Xie, Y Li, T Xu, K Ma, Y Zheng IEEE Transactions on Medical Imaging 41 (3), 595-607, 2021 | 25 | 2021 |
| GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description Y Li, ZH Liu, P Xue, J Chen, K Ma, T Qian, Y Zheng, YL Qiao Medical Image Analysis 70, 102006, 2021 | 20 | 2021 |
| A multi-task self-supervised learning framework for scopy images Y Li, J Chen, Y Zheng 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 2005-2009, 2020 | 16 | 2020 |
| Internal motion estimation by internal-external motion modeling for lung cancer radiotherapy H Chen, Z Zhong, Y Yang, J Chen, L Zhou, X Zhen, X Gu Scientific reports 8 (1), 3677, 2018 | 14 | 2018 |
| Cross-domain gated learning for domain generalization D Du, J Chen, Y Li, K Ma, G Wu, Y Zheng, L Wang International Journal of Computer Vision 130 (11), 2842-2857, 2022 | 10 | 2022 |
| Exploring deep convolution neural networks with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy X Zhen, J Chen, Z Zhong, B Hrycushko, S Jiang, K Albuquerque, X Gu Brachytherapy 16 (3), S33-S34, 2017 | 6 | 2017 |
| Mix-and-interpolate: a training strategy to deal with source-biased medical data Y Li, J Chen, D Wei, Y Zhu, J Wu, J Xiong, Y Gang, W Sun, H Xu, T Qian, ... IEEE Journal of Biomedical and Health Informatics 26 (1), 172-182, 2021 | 4 | 2021 |
