Lie Ju

Orcid: 0000-0002-6687-7054

According to our database1, Lie Ju authored at least 34 papers between 2018 and 2024.

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Bibliography

2024
Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition.
IEEE Trans. Medical Imaging, January, 2024

Diversified and Personalized Multi-rater Medical Image Segmentation.
CoRR, 2024

Prompt-driven Latent Domain Generalization for Medical Image Classification.
CoRR, 2024

2023
Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study.
J. Big Data, December, 2023

Medical matting: Medical image segmentation with uncertainty from the matting perspective.
Comput. Biol. Medicine, May, 2023

HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding.
CoRR, 2023

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding.
CoRR, 2023

LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition.
CoRR, 2023

Towards Open-Scenario Semi-supervised Medical Image Classification.
CoRR, 2023

EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition.
CoRR, 2023

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation.
IEEE Trans. Medical Imaging, 2022

3D Matting: A Soft Segmentation Method Applied in Computed Tomography.
CoRR, 2022

3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography.
Comput. Biol. Medicine, 2022

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Flexible Sampling for Long-Tailed Skin Lesion Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization.
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.
IEEE Trans. Medical Imaging, 2021

Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning.
IEEE J. Biomed. Health Informatics, 2021

Incremental learning for exudate and hemorrhage segmentation on fundus images.
Inf. Fusion, 2021

Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation.
CoRR, 2021

Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization.
CoRR, 2021

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation.
CoRR, 2021

Medical Matting: A New Perspective on Medical Segmentation with Uncertainty.
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.
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.
CoRR, 2020

Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation.
CoRR, 2020

2019
Deep cascaded convolutional models for cattle pose estimation.
Comput. Electron. Agric., 2019

Retinal Abnormalities Recognition Using Regional Multitask Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Graph regularized multiview marginal discriminant projection.
J. Vis. Commun. Image Represent., 2018


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