·Paper Publications
- [1] Z. Yan, X. Yang, and K. -T. Cheng. “A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation.” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 138-146, 2018..
- [2] Z. Yan, X. Yang, and K. -T. Cheng. “A Skeletal Similarity Metric for Quality Evaluation of Vessel Segmentation.” IEEE Transactions on Medical Imaging, 37 (4), 1045-1057, 2018..
- [3] Z. Yan, X. Yang, and K. -T. Cheng. “Joint Segment-Level and Pixel-Wise Losses for Deep Learning based Retinal Vessel Segmentation.” IEEE Transactions on Biomedical Engineering, 65 (9), 1912-1923, 2018. (ESI Highly Cited Paper).
- [4] Z. Yan, X. Yang, and K. -T. Cheng. “A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation.” IEEE Journal of Biomedical and Health Informatics, 23 (4), 1427-1436, 2019. (ESI Highly Cited Paper).
- [5] Z. Yan, X. Yang, and K. -T. Cheng. “Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-Aware Adversarial Learning Framework.” IEEE Transactions on Medical Imaging, 39 (6), 2176-2189, 2020..
- [6] Z. Yan, J. Wicaksana, Z. Wang, X. Yang, and K. -T. Cheng. “Variation-Aware Federated Learning with Multi-Source Decentralized Medical Image Data.” IEEE Journal of Biomedical and Health Informatics, 2021..
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