Lie Ju

According to our database, Lie Ju authored at least 37 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Prompt-Driven Latent Domain Generalization for Medical Image Classification.

Siyuan Yan, Zhen Yu, Chi Liu, Lie Ju, Dwarikanath Mahapatra, Brigid Betz-Stablein, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge

IEEE Trans. Medical Imaging, January, 2025

HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding.

Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition.

Lie Ju, Zhen Yu, Lin Wang, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge

IEEE Trans. Medical Imaging, January, 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

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations.

Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM.

Wenxue Li, Xinyu Xiong, Peng Xia, Lie Ju, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Universal Semi-supervised Learning for Medical Image Classification.

Lie Ju, Yicheng Wu, Wei Feng, Zhen Yu, Lin Wang, Zhuoting Zhu, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Diversified and Personalized Multi-Rater Medical Image Segmentation.

Yicheng Wu, Xiangde Luo, Zhe Xu, Xiaoqing Guo, Lie Ju, Zongyuan Ge, Wenjun Liao, Jianfei Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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, Xin Zhao, Chao He, Yuzhong Chen, Zhaohui Wang, Jianxiong Gao, Zongyuan Ge, Wenbin Wei, Dongmei Li

J. Big Data, December, 2023

Medical matting: Medical image segmentation with uncertainty from the matting perspective.

Lin Wang, Xiufen Ye, Lie Ju, Wanji He, Donghao Zhang, Xin Wang, Yelin Huang, Wei Feng, Kaimin Song, Zongyuan Ge

Comput. Biol. Medicine, May, 2023

LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition.

Peng Xia, Di Xu, Lie Ju, Ming Hu, Jun Chen, Zongyuan Ge

CoRR, 2023

Towards Open-Scenario Semi-supervised Medical Image Classification.

Lie Ju, Yicheng Wu, Wei Feng, Zhen Yu, Lin Wang, Zhuoting Zhu, Zongyuan Ge

CoRR, 2023

EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition.

Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatrainst, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge

CoRR, 2023

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding.

Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition.

Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering.

Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment.

Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, Zongyuan Ge

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation.

Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Quan Zhou, Tongliang Liu, Zongyuan Ge

IEEE Trans. Medical Imaging, 2022

3D Matting: A Soft Segmentation Method Applied in Computed Tomography.

Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge

CoRR, 2022

3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography.

Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge

Comput. Biol. Medicine, 2022

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings.

Zhen Yu, Toàn D. Nguyên, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Flexible Sampling for Long-Tailed Skin Lesion Classification.

Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization.

Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling.

Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge

IEEE Trans. Medical Imaging, 2021

Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning.

Lie Ju, Xin Wang, Xin Zhao, Huimin Lu, Dwarikanath Mahapatra, C. Paul Bonnington, Zongyuan Ge

IEEE J. Biomed. Health Informatics, 2021

Incremental learning for exudate and hemorrhage segmentation on fundus images.

Wanji He, Xin Wang, Lin Wang, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Lie Ju, Liao Wu, Lin Wu, Huimin Lu, Zongyuan Ge

Inf. Fusion, 2021

Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation.

Lie Ju, Xin Wang, Zhen Yu, Lin Wang, Xin Zhao, Zongyuan Ge

CoRR, 2021

Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization.

Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, Zongyuan Ge

CoRR, 2021

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation.

Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge

CoRR, 2021

Medical Matting: A New Perspective on Medical Segmentation with Uncertainty.

Lin Wang, Lie Ju, Donghao Zhang, Xin Wang, Wanji He, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition.

Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading.

Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Zongyuan Ge

CoRR, 2020

Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation.

Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, C. Paul Bonnington, Tom Drummond, Zongyuan Ge

CoRR, 2020

2019

Deep cascaded convolutional models for cattle pose estimation.

Xiangyuan Li, Cheng Cai, Ruifei Zhang, Lie Ju, Jinrong He

Comput. Electron. Agric., 2019

Retinal Abnormalities Recognition Using Regional Multitask Learning.

Xin Wang, Lie Ju, Xin Zhao, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Graph regularized multiview marginal discriminant projection.

Heng Pan, Jinrong He, Yu Ling, Lie Ju, Guoliang He

J. Vis. Commun. Image Represent., 2018