Graph regularized multiview marginal discriminant projection. - Heng Pan; Jinrong He; Yu Ling; Lie Ju; Guoliang He (J. Vis. Commun. Image Represent., 2018)

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

Deep cascaded convolutional models for cattle pose estimation. - Xiangyuan Li; Cheng Cai; Ruifei Zhang; Lie Ju; Jinrong He (Comput. Electron. Agric., 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)

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)

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings. - Zhen Yu; Toàn D. Nguyên; Yaniv Gal; Lie Ju; Shekhar S. Chandra; Lei Zhang 095; C. Paul Bonnington; Victoria Mar; Zhiyong Wang 001; 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)

Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment. - Wei Feng 015; Lie Ju; Lin Wang 027; Kaimin Song; Xin Zhao; Zongyuan Ge (AAAI, 2023)

Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering. - Wei Feng 015; Lie Ju; Lin Wang 027; Kaimin Song; Zongyuan Ge (MICCAI (6), 2023)

EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition. - Siyuan Yan; Chi Liu 002; Zhen Yu; Lie Ju; Dwarikanath Mahapatra; Victoria Mar; Monika Janda; H. Peter Soyer; Zongyuan Ge (MICCAI (7), 2023)

Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning. - Zhen Yu; Ruiye Chen; Peng Gui; Lie Ju; Xianwen Shang; Zhuoting Zhu; Mingguang He; Zongyuan Ge (MICCAI (7), 2023)

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding. - Ming Hu; Lin Wang 027; Siyuan Yan; Don Ma; Qingli Ren; Peng Xia 005; Wei Feng 015; Peibo Duan; Lie Ju; Zongyuan Ge (NeurIPS, 2023)

EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition. - Siyuan Yan; Chi Liu 002; Zhen Yu; Lie Ju; Dwarikanath Mahapatrainst; Victoria Mar; Monika Janda; H. Peter Soyer; Zongyuan Ge (CoRR, 2023)

Towards Open-Scenario Semi-supervised Medical Image Classification. - Lie Ju; Yicheng Wu 001; Wei Feng 015; Zhen Yu; Lin Wang 027; Zhuoting Zhu; Zongyuan Ge (CoRR, 2023)

LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition. - Peng Xia 005; Di Xu; Lie Ju; Ming Hu; Jun Chen 021; Zongyuan Ge (CoRR, 2023)

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)

Diversified and Personalized Multi-Rater Medical Image Segmentation. - Yicheng Wu 001; Xiangde Luo; Zhe Xu 012; Xiaoqing Guo; Lie Ju; Zongyuan Ge; Wenjun Liao; Jianfei Cai 001 (CVPR, 2024)

Universal Semi-supervised Learning for Medical Image Classification. - Lie Ju; Yicheng Wu 001; Wei Feng 015; Zhen Yu; Lin Wang 027; Zhuoting Zhu; Zongyuan Ge (MICCAI (12), 2024)

TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM. - Wenxue Li; Xinyu Xiong; Peng Xia 005; Lie Ju; Zongyuan Ge (MICCAI (8), 2024)

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations. - Peng Xia 005; Ming Hu; Feilong Tang; Wenxue Li; Wenhao Zheng; Lie Ju; Peibo Duan; Huaxiu Yao; Zongyuan Ge (MICCAI (10), 2024)

MONICA: Benchmarking on Long-tailed Medical Image Classification. - Lie Ju; Siyuan Yan; Yukun Zhou; Yang Nan; Xiaodan Xing; Peibo Duan; Zongyuan Ge (CoRR, 2024)

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)

Towards Realistic Semi-supervised Medical Image Classification. - Wenxue Li; Lie Ju; Feilong Tang; Peng Xia 005; Xinyu Xiong; Ming Hu; Lei Zhu 002; Zongyuan Ge (AAAI, 2025)

HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding. - Peng Xia 005; Xingtong Yu; Ming Hu; Lie Ju; Zhiyong Wang 001; Peibo Duan; Zongyuan Ge (COLING, 2025)

Hierarchical skin lesion image classification with prototypical decision tree. - Zhen Yu; Toàn D. Nguyên; Lie Ju; Yaniv Gal; Maithili Sashindranath; C. Paul Bonnington; Lei Zhang 095; Victoria Mar; Zongyuan Ge (npj Digit. Medicine, 2025)

Author Correction: Hierarchical skin lesion image classification with prototypical decision tree. - Zhen Yu; Toàn D. Nguyên; Lie Ju; Yaniv Gal; Maithili Sashindranath; C. Paul Bonnington; Lei Zhang 095; Victoria Mar; Zongyuan Ge (npj Digit. Medicine, 2025)

Prompt-Driven Latent Domain Generalization for Medical Image Classification. - Siyuan Yan; Zhen Yu; Chi Liu 002; Lie Ju; Dwarikanath Mahapatra; Brigid Betz-Stablein; Victoria Mar; Monika Janda; H. Peter Soyer; Zongyuan Ge (IEEE Trans. Medical Imaging, 2025)

Delving into Out-of-Distribution Detection with Medical Vision-Language Models. - Lie Ju; Sijin Zhou; Yukun Zhou; Huimin Lu 001; Zhuoting Zhu; Pearse A. Keane; Zongyuan Ge (CoRR, 2025)