Retinal Abnormalities Recognition Using Regional Multitask Learning. - Xin Wang 094; Lie Ju; Xin Zhao; Zongyuan Ge (MICCAI (1), 2019)

Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation. - Lie Ju; Xin Wang 094; Quan Zhou 004; Hu Zhu; Mehrtash Harandi; C. Paul Bonnington; Tom Drummond; Zongyuan Ge (CoRR, 2020)

Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading. - Lie Ju; Xin Wang 094; Xin Zhao; C. Paul Bonnington; Zongyuan Ge (CoRR, 2020)

Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition. - Lie Ju; Xin Wang 094; Lin Wang 027; Tongliang Liu; Xin Zhao; Tom Drummond; Dwarikanath Mahapatra; Zongyuan Ge (MICCAI (8), 2021)

Medical Matting: A New Perspective on Medical Segmentation with Uncertainty. - Lin Wang 027; Lie Ju; Donghao Zhang; Xin Wang 094; Wanji He; Yelin Huang; Zhiwen Yang; Xuan Yao; Xin Zhao; Xiufen Ye; Zongyuan Ge (MICCAI (3), 2021)

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. - Lie Ju; Xin Wang 094; Lin Wang 027; Dwarikanath Mahapatra; Xin Zhao; Mehrtash Harandi; Tom Drummond; Tongliang Liu; Zongyuan Ge (CoRR, 2021)

Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization. - Wei Feng 015; Lie Ju; Lin Wang 027; Kaimin Song; Xin Wang 094; Xin Zhao; Qingyi Tao; Zongyuan Ge (CoRR, 2021)

Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks. - Zongyuan Ge; Xin Wang 094 (CoRR, 2021)

Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation. - Lie Ju; Xin Wang 094; Zhen Yu; Lin Wang 027; Xin Zhao; Zongyuan Ge (CoRR, 2021)

Incremental learning for exudate and hemorrhage segmentation on fundus images. - Wanji He; Xin Wang 094; Lin Wang 027; Yelin Huang; Zhiwen Yang; Xuan Yao; Xin Zhao; Lie Ju; Liao Wu; Lin Wu 001; Huimin Lu 001; Zongyuan Ge (Inf. Fusion, 2021)

Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning. - Lie Ju; Xin Wang 094; Xin Zhao; Huimin Lu 001; Dwarikanath Mahapatra; C. Paul Bonnington; Zongyuan Ge (IEEE J. Biomed. Health Informatics, 2021)

Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. - Lie Ju; Xin Wang 094; Xin Zhao; C. Paul Bonnington; Tom Drummond; Zongyuan Ge (IEEE Trans. Medical Imaging, 2021)

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization. - Wei Feng 015; Lin Wang 027; Lie Ju; Xin Zhao; Xin Wang 094; Xiaoyu Shi; Zongyuan Ge (MICCAI (2), 2022)

Flexible Sampling for Long-Tailed Skin Lesion Classification. - Lie Ju; Yicheng Wu 001; Lin Wang 027; Zhen Yu; Xin Zhao; Xin Wang 094; C. Paul Bonnington; Zongyuan Ge (MICCAI (3), 2022)

3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography. - Lin Wang 027; Xiufen Ye; Donghao Zhang; Wanji He; Lie Ju; Yi Luo; Huan Luo; Xin Wang 094; Wei Feng 015; Kaimin Song; Xin Zhao; Zongyuan Ge (Comput. Biol. Medicine, 2022)

3D Matting: A Soft Segmentation Method Applied in Computed Tomography. - Lin Wang 027; Xiufen Ye; Donghao Zhang; Wanji He; Lie Ju; Xin Wang 094; Wei Feng 015; Kaimin Song; Xin Zhao; Zongyuan Ge (CoRR, 2022)

Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation. - Lie Ju; Xin Wang 094; Lin Wang 027; Dwarikanath Mahapatra; Xin Zhao; Quan Zhou 004; Tongliang Liu; Zongyuan Ge (IEEE Trans. Medical Imaging, 2022)

Medical matting: Medical image segmentation with uncertainty from the matting perspective. - Lin Wang 027; Xiufen Ye; Lie Ju; Wanji He; Donghao Zhang; Xin Wang 094; Yelin Huang; Wei Feng 015; Kaimin Song; Zongyuan Ge (Comput. Biol. Medicine, 2023)

Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study. - Li Dong; Lie Ju; Shiqi Hui; Lihua Luo; Xue Jiang; Zihan Nie; Ruiheng Zhang; Wenda Zhou; Heyan Li; Jost B. Jonas; Xin Wang 094; Xin Zhao; et al. (J. Big Data, 2023)

Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition. - Lie Ju; Zhen Yu; Lin Wang 027; Xin Zhao; Xin Wang 094; C. Paul Bonnington; Zongyuan Ge (IEEE Trans. Medical Imaging, 2024)

Power Characterization of Noisy Quantum Kernels. - Yabo Wang; Bo Qi; Xin Wang 094; Tongliang Liu; Daoyi Dong (IEEE Trans. Neural Networks Learn. Syst., 2025)