Xin Wang

According to our database, Xin Wang authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

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

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

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

Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks.

Zongyuan Ge, Xin Wang

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

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