| Joint segment-level and pixel-wise losses for deep learning based retinal vessel segmentation Z Yan, X Yang, KT Cheng IEEE Transactions on Biomedical Engineering 65 (9), 1912-1923, 2018 | 306 | 2018 |
| A three-stage deep learning model for accurate retinal vessel segmentation Z Yan, X Yang, KT Cheng IEEE journal of Biomedical and Health Informatics 23 (4), 1427-1436, 2019 | 225 | 2019 |
| Variation-aware federated learning with multi-source decentralized medical image data Z Yan, J Wicaksana, Z Wang, X Yang, KT Cheng IEEE Journal of Biomedical and Health Informatics 25 (7), 2615-2628, 2020 | 49 | 2020 |
| A skeletal similarity metric for quality evaluation of retinal vessel segmentation Z Yan, X Yang, KT Cheng IEEE transactions on medical imaging 37 (4), 1045-1057, 2017 | 44 | 2017 |
| A Deep Model with Shape-preserving Loss for Gland Instance Segmentation Z Yan, X Yang, KTT Cheng International Conference on Medical Image Computing and Computer Assisted …, 2018 | 33* | 2018 |
| Describing upper-body motions based on labanotation for learning-from-observation robots K Ikeuchi, Z Ma, Z Yan, S Kudoh, M Nakamura International Journal of Computer Vision 126, 1415-1429, 2018 | 31 | 2018 |
| Enabling a single deep learning model for accurate gland instance segmentation: A shape-aware adversarial learning framework Z Yan, X Yang, KT Cheng IEEE transactions on medical imaging 39 (6), 2176-2189, 2020 | 27 | 2020 |
| Beyond the interference problem: hierarchical patterns for multiple-projector structured light system Z Yan, L Yu, Y Yang, Q Liu Applied optics 53 (17), 3621-3632, 2014 | 23 | 2014 |
| Exploring intermediate representation for monocular vehicle pose estimation S Li, Z Yan, H Li, KT Cheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 19 | 2021 |
| Frequency estimation of the plenoptic function using the autocorrelation theorem C Zhu, L Yu, Z Yan, S Xiang IEEE Transactions on Computational Imaging 3 (4), 966-981, 2017 | 8 | 2017 |
| Texture edge-guided depth recovery for structured light-based depth sensor H Deng, J Wu, L Zhu, Z Yan, L Yu Multimedia Tools and Applications 76, 4211-4226, 2017 | 8 | 2017 |
| Fracture R‐CNN: An anchor‐efficient anti‐interference framework for skull fracture detection in CT images X Lin#, Z Yan#, Z Kuang, H Zhang, X Deng, L Yu Medical Physics, 2022 | 2 | 2022 |
| FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation J Wicaksana, Z Yan*, D Zhang, X Huang, H Wu, X Yang, KT Cheng IEEE Transactions on Medical Imaging, 2022 | 1 | 2022 |
| C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation X Lin, L Yu, KT Cheng, Z Yan* arXiv preprint arXiv:2206.14409, 2022 | 1 | 2022 |
| Federated Learning with Imbalanced and Agglomerated Data Distribution for Medical Image Classification N Wu, L Yu, X Yang, KT Cheng, Z Yan arXiv preprint arXiv:2206.13803, 2022 | 1* | 2022 |
| Uncertainty-Aware Deep Learning with Cross-Task Supervision for PHE Segmentation on CT Images Z Kuang#, Z Yan#, L Yu, X Deng, Y Hua, S Li IEEE Journal of Biomedical and Health Informatics, 2022 | 1 | 2022 |
| Large-area depth recovery for RGB-D camera Z Yan, L Yu, Z Xiong 2015 IEEE International Conference on Image Processing (ICIP), 1409-1413, 2015 | 1 | 2015 |
| Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation T Shi, X Ding, W Zhou, F Pan, Z Yan, X Bai, X Yang arXiv preprint arXiv:2211.06578, 2022 | | 2022 |
| Hierarchical Associative Encoding and Decoding for Bottom-Up Human Pose Estimation C Du, Z Yan, H Yu, L Yu, Z Xiong IEEE Transactions on Circuits and Systems for Video Technology, 2022 | | 2022 |
| Customized Federated Learning for Multi-Source Decentralized Medical Image Classification J Wicaksana, Z Yan*, X Yang, Y Liu, L Fan, KT Cheng IEEE Journal of Biomedical and Health Informatics, 2022 | | 2022 |
Kwang-Ting (Tim) ChengChair Professor of ECE and CSE, HKUSTVerified email at ust.hk
