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 | 404 | 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 | 310 | 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 | 103 | 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 | 62 | 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 | 48* | 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 | 44 | 2020 |
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 | 39 | 2018 |
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 | 35 | 2021 |
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 | 32 | 2022 |
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation X Lin, L Yu, KT Cheng, Z Yan* IEEE Journal of Biomedical and Health Informatics, 2023 | 26* | 2023 |
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 | 25 | 2014 |
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 | 19 | 2022 |
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning X Lin, L Yu, KT Cheng, Z Yan* IEEE Transactions on Medical Imaging, 2022 | 15 | 2022 |
SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation X Lin, Y Xiang, L Zhang, X Yang, Z Yan*, L Yu arXiv preprint arXiv:2309.06824, 2023 | 11 | 2023 |
Affinity feature strengthening for accurate, complete and robust vessel segmentation T Shi, X Ding, W Zhou, F Pan, Z Yan, X Bai, X Yang IEEE Journal of Biomedical and Health Informatics, 2023 | 11 | 2023 |
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification N Wu, L Yu, X Yang, KT Cheng, Z Yan* MICCAI 2023, 2023 | 11* | 2023 |
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 |
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity N Wu, L Yu, X Jiang, KT Cheng, Z Yan* IJCAI-23, 2023 | 7 | 2023 |
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 | 7 | 2022 |