Robust facial landmark detection via occlusion-adaptive deep networks M Zhu, D Shi, M Zheng, M Sadiq Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 152 | 2019 |
Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data Z Chen, C Yang, M Zhu, Z Peng, Y Yuan IEEE transactions on medical imaging, 2022 | 46 | 2022 |
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning C Zhen, Z Meilu, Y Chen, Y Yixuan The 23nd International Conference on Medical Image Computing and Computer …, 2021 | 39 | 2021 |
Mutual-prototype adaptation for cross-domain polyp segmentation C Yang, X Guo, M Zhu, B Ibragimov, Y Yuan IEEE Journal of Biomedical and Health Informatics 25 (10), 3886-3897, 2021 | 32 | 2021 |
DSI-Net: Deep synergistic interaction network for joint classification and segmentation with endoscope images M Zhu, Z Chen, Y Yuan IEEE Transactions on Medical Imaging 40 (12), 3315-3325, 2021 | 27 | 2021 |
Discrepancy and gradient-guided multi-modal knowledge distillation for pathological glioma grading X Xing, Z Chen, M Zhu, Y Hou, Z Gao, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 25 | 2022 |
Instance importance-aware graph convolutional network for 3D medical diagnosis Z Chen, J Liu, M Zhu, PYM Woo, Y Yuan Medical Image Analysis 78, 102421, 2022 | 20 | 2022 |
Branched convolutional neural networks incorporated with jacobian deep regression for facial landmark detection M Zhu, D Shi, J Gao Neural Networks 118, 127-139, 2019 | 20 | 2019 |
FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting M Zhu, Z Chen, Y Yuan IEEE Transactions on Medical Imaging 42 (6), 1632 - 1643, 2023 | 13 | 2023 |
Image denoising via generative adversarial networks with detail loss S Chen, D Shi, M Sadiq, M Zhu Proceedings of the 2nd International Conference on Information Science and …, 2019 | 7 | 2019 |
Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading X Xing, M Zhu, Z Chen, Y Yuan Medical Image Analysis 91, 102990, 2024 | 3 | 2024 |
中国医学影像人工智能 20 年回顾和展望 蒋希, 袁奕萱, 王雅萍, 肖振祥, 朱美芦, 陈泽华, 刘天明, 沈定刚 中国图象图形学报, 2022 | 3 | 2022 |
A 20-year retrospect and prospect of medical imaging artificial intelligence in China J Xi, Y Yi-Xuan, W Ya-Ping, X Zhen-Xiang, Z Mei-Lu, C Ze-Hua Journal of Image and Graphics 27 (3), 655-671, 2022 | 3 | 2022 |
Branched convolutional neural networks for face alignment M Zhu, D Shi, S Chen, J Gao Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | 3 | 2018 |
FedOSS: Federated Open Set Recognition via Inter-client Discrepancy and Collaboration M Zhu, J Liao, J Liu, Y Yuan IEEE Transactions on Medical Imaging, 2023 | 2 | 2023 |
FedPD: Federated Open Set Recognition with Parameter Disentanglement C Yang, M Zhu, Y Liu, Y Yuan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
A teacher-to-student information recovery method toward energy-efficient animal activity recognition at low sampling rates Axiu Mao, Meilu Zhu, Endai Huang, Xi Yao, Kai Liu Computers and Electronics in Agriculture 213, 108242, 2023 | 1 | 2023 |
Deep geometry embedding networks for robust facial landmark detection M Zhu, D Shi 2019 IEEE International Conference on Multimedia and Expo (ICME), 1222-1227, 2019 | 1 | 2019 |
An advanced level set method based on Bregman divergence for inhomogeneous image segmentation D Shi, M Zhu, Y Zhang, F Tian 2017 International Conference on Machine Learning and Cybernetics (ICMLC) 2 …, 2017 | 1 | 2017 |
Task interaction network for prostate cancer diagnosis Y Yuan, ZHU Meilu US Patent 11,961,618, 2024 | | 2024 |