Xin Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Multitask Learning

Image Segmentation

Computed Tomography

Top Venues

IEEE Trans. Medical Imaging

Comput. Biol. Medicine

Publications

Lie Ju, Zhen Yu, Lin Wang, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge
Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition. IEEE Trans. Medical Imaging 43 (1) (2024)
Lin Wang, Xiufen Ye, Lie Ju, Wanji He, Donghao Zhang, Xin Wang, Yelin Huang, Wei Feng, Kaimin Song, Zongyuan Ge
Medical matting: Medical image segmentation with uncertainty from the matting perspective. Comput. Biol. Medicine 158 (2023)
Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Quan Zhou, Tongliang Liu, Zongyuan Ge
Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation. IEEE Trans. Medical Imaging 41 (6) (2022)
Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge
Flexible Sampling for Long-tailed Skin Lesion Classification. CoRR (2022)
Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge
Flexible Sampling for Long-Tailed Skin Lesion Classification. MICCAI (3) (2022)
Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography. CoRR (2022)
Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge
3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography. Comput. Biol. Medicine 150 (2022)
Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge
3D Matting: A Soft Segmentation Method Applied in Computed Tomography. CoRR (2022)
Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization. CoRR (2022)
Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization. MICCAI (2) (2022)
Lin Wang, Lie Ju, Donghao Zhang, Xin Wang, Wanji He, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, Zongyuan Ge
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty. MICCAI (3) (2021)
Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, Zongyuan Ge
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization. CoRR (2021)
Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge
Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition. MICCAI (8) (2021)
Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition. CoRR (2021)
Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. IEEE Trans. Medical Imaging 40 (10) (2021)
Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. CoRR (2021)
Wanji He, Xin Wang, Lin Wang, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Lie Ju, Liao Wu, Lin Wu, Huimin Lu, Zongyuan Ge
Incremental learning for exudate and hemorrhage segmentation on fundus images. Inf. Fusion 73 (2021)
Lie Ju, Xin Wang, Xin Zhao, Huimin Lu, Dwarikanath Mahapatra, C. Paul Bonnington, Zongyuan Ge
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Zongyuan Ge, Xin Wang
Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks. CoRR (2021)
Lin Wang, Lie Ju, Donghao Zhang, Xin Wang, Wanji He, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, Zongyuan Ge
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty. CoRR (2021)
Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. CoRR (2020)
Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Zongyuan Ge
Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading. CoRR (2020)
Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, C. Paul Bonnington, Tom Drummond, Zongyuan Ge
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation. CoRR (2020)
Xin Wang, Lie Ju, Xin Zhao, Zongyuan Ge
Retinal Abnormalities Recognition Using Regional Multitask Learning. MICCAI (1) (2019)