Xin Wang - RankMe

27 papers Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Power Characterization of Noisy Quantum Kernels. IEEE Trans. Neural Networks Learn. Syst. Yabo Wang, Bo Qi, Xin Wang, Tongliang Liu, Daoyi Dong
2024	J	`jnl`	Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition. IEEE Trans. Medical Imaging Lie Ju, Zhen Yu, Lin Wang, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge
2023	J	`jnl`	Medical matting: Medical image segmentation with uncertainty from the matting perspective. Comput. Biol. Medicine Lin Wang, Xiufen Ye, Lie Ju, Wanji He, Donghao Zhang, Xin Wang, Yelin Huang, Wei Feng, Kaimin Song, Zongyuan Ge
2023	J	`jnl`	Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study. J. Big Data 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
2022	J	`jnl`	3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography. CoRR Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge
2022	J	`jnl`	3D Matting: A Soft Segmentation Method Applied in Computed Tomography. CoRR Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge
2022	J	`jnl`	3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography. Comput. Biol. Medicine Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge
2022	—	`conf`	Flexible Sampling for Long-Tailed Skin Lesion Classification. MICCAI (3) Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge
2022	J	`jnl`	Flexible Sampling for Long-tailed Skin Lesion Classification. CoRR Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge
2022	J	`jnl`	Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation. IEEE Trans. Medical Imaging Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Quan Zhou, Tongliang Liu, Zongyuan Ge
2022	—	`conf`	Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization. MICCAI (2) Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge
2022	J	`jnl`	Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization. CoRR Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge
2021	J	`jnl`	Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks. CoRR Zongyuan Ge, Xin Wang
2021	J	`jnl`	Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. CoRR Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge
2021	J	`jnl`	Incremental learning for exudate and hemorrhage segmentation on fundus images. Inf. Fusion Wanji He, Xin Wang, Lin Wang, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Lie Ju, Liao Wu, Lin Wu, Huimin Lu, Zongyuan Ge
2021	J	`jnl`	Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. IEEE Trans. Medical Imaging Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge
2021	J	`jnl`	Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation. CoRR Lie Ju, Xin Wang, Zhen Yu, Lin Wang, Xin Zhao, Zongyuan Ge
2021	—	`conf`	Medical Matting: A New Perspective on Medical Segmentation with Uncertainty. MICCAI (3) Lin Wang, Lie Ju, Donghao Zhang, Xin Wang, Wanji He, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, Zongyuan Ge
2021	J	`jnl`	Medical Matting: A New Perspective on Medical Segmentation with Uncertainty. CoRR Lin Wang, Lie Ju, Donghao Zhang, Xin Wang, Wanji He, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, Zongyuan Ge
2021	—	`conf`	Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition. MICCAI (8) Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge
2021	J	`jnl`	Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition. CoRR Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge
2021	J	`jnl`	Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning. IEEE J. Biomed. Health Informatics Lie Ju, Xin Wang, Xin Zhao, Huimin Lu, Dwarikanath Mahapatra, C. Paul Bonnington, Zongyuan Ge
2021	J	`jnl`	Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization. CoRR Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, Zongyuan Ge
2020	J	`jnl`	Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation. CoRR Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, C. Paul Bonnington, Tom Drummond, Zongyuan Ge
2020	J	`jnl`	Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. CoRR Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge
2020	J	`jnl`	Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading. CoRR Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Zongyuan Ge
2019	—	`conf`	Retinal Abnormalities Recognition Using Regional Multitask Learning. MICCAI (1) Xin Wang, Lie Ju, Xin Zhao, Zongyuan Ge