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ORCIDZhaohu Xing
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2020 – today
- 2024
[j3]Yang Nan
, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon L. F. Walsh, Guang Yang:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. 97: 103253 (2024)- [j2]Zhaohu Xing, Lei Zhu, Lequan Yu, Zhiheng Xing, Liang Wan:
Hybrid Masked Image Modeling for 3D Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(4): 2115-2125 (2024) - [c9]Tian Ye, Sixiang Chen, Wenhao Chai, Zhaohu Xing, Jing Qin, Ge Lin, Lei Zhu:
Learning Diffusion Texture Priors for Image Restoration. CVPR 2024: 2524-2534 - [c8]Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Cailian Chen, Radu Timofte, Wei Dong, Han Zhou, Yuqiong Tian, Jun Chen, Xueyang Fu, Xin Lu, Yurui Zhu, Xi Wang, Dong Li, Jie Xiao, Yunpeng Zhang, Zheng-Jun Zha, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Yanyan Wei, Zhihao Zhao, Long Sun, Tingting Yang, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bilel Benjdira, Mohammed Nassif, Anis Koubaa, Ahmed Elhayek, Anas M. Ali, Kyotaro Tokoro, Kento Kawai, Kaname Yokoyama, Takuya Seno, Yuki Kondo, Norimichi Ukita, Chenghua Li, Bo Yang, Zhiqi Wu, Gao Chen, Yihan Yu, Sixiang Chen, Kai Zhang, Tian Ye, Wenbin Zou, Yunlong Lin, Zhaohu Xing, Jinbin Bai, Wenhao Chai, Lei Zhu, Ritik Maheshwari, Rakshank Verma, Rahul Tekchandani, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Fan Gao, Weidan Yan, Wenze Shao, Dengyin Zhang, Bin Chen, Siqi Zhang, Yanxin Qian, Yuanbin Chen, Yuanbo Zhou, Tong Tong, Rongfeng Wei, Ruiqi Sun, Yue Liu, Nikhil Akalwadi, Amogh Joshi, Sampada Malagi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Adinath Dukre, Vivek Deshmukh, Shruti S. Phutke, Ashutosh Kulkarni, Santosh Kumar Vipparthi, Anil Gonde, Subrahmanyam Murala, Arun karthik K, Manasa N, Shri Hari Priya, Wei Hao, Xingzhuo Yan, Minghan Fu:
NTIRE 2024 Image Shadow Removal Challenge Report. CVPR Workshops 2024: 6547-6570 - [c7]Sixiang Chen, Tian Ye, Kai Zhang, Zhaohu Xing, Yunlong Lin, Lei Zhu:
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint. ECCV (9) 2024: 95-115 - [c6]Yingling Lu, Yijun Yang, Zhaohu Xing, Qiong Wang, Lei Zhu:
Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning. MICCAI (6) 2024: 165-175 - [c5]Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Yijun Yang, Jing Qin, Lei Zhu:
Cross-conditioned Diffusion Model for Medical Image to Image Translation. MICCAI (7) 2024: 201-211 - [c4]Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, Lei Zhu:
SegMamba: Long-Range Sequential Modeling Mamba for 3D Medical Image Segmentation. MICCAI (8) 2024: 578-588 - [c3]Haipeng Zhou, Hongqiu Wang, Tian Ye, Zhaohu Xing, Jun Ma, Ping Li, Qiong Wang, Lei Zhu:
Timeline and Boundary Guided Diffusion Network for Video Shadow Detection. ACM Multimedia 2024: 166-175 - [c2]Zhaoying Li, Zhaohu Xing, Hongying Liu, Lei Zhu, Liang Wan:
Anchored Supervised Contrastive Learning for Long-Tailed Medical Image Regression. PRCV (15) 2024: 3-18 - [i12]Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, Lei Zhu:
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation. CoRR abs/2401.13560 (2024) - [i11]Yijun Yang, Zhaohu Xing, Lei Zhu:
Vivim: a Video Vision Mamba for Medical Video Object Segmentation. CoRR abs/2401.14168 (2024) - [i10]Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Lei Zhu, Xinghao Ding:
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. CoRR abs/2407.14900 (2024) - [i9]Haipeng Zhou, Honqiu Wang, Tian Ye, Zhaohu Xing, Jun Ma, Ping Li, Qiong Wang, Lei Zhu:
Timeline and Boundary Guided Diffusion Network for Video Shadow Detection. CoRR abs/2408.11785 (2024) - [i8]Yingling Lu, Yijun Yang, Zhaohu Xing, Qiong Wang, Lei Zhu:
Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning. CoRR abs/2409.07238 (2024) - [i7]Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Yijun Yang, Jing Qin, Lei Zhu:
Cross-conditioned Diffusion Model for Medical Image to Image Translation. CoRR abs/2409.08500 (2024) - [i6]Sixiang Chen, Tian Ye, Kai Zhang, Zhaohu Xing, Yunlong Lin, Lei Zhu:
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint. CoRR abs/2409.15739 (2024) - 2023
- [j1]Junting Zhao, Zhaohu Xing, Zhihao Chen, Liang Wan, Tong Han, Huazhu Fu, Lei Zhu:
Uncertainty-Aware Multi-Dimensional Mutual Learning for Brain and Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 27(9): 4362-4372 (2023) - [i5]Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Lei Zhu:
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. CoRR abs/2303.10326 (2023) - [i4]Zhaohu Xing, Lei Zhu, Lequan Yu, Zhiheng Xing, Liang Wan:
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation. CoRR abs/2303.10333 (2023) - [i3]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. CoRR abs/2312.09576 (2023) - [i2]Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Athol Wells, Simon Walsh, Guang Yang:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR abs/2312.13752 (2023) - 2022
- [c1]Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation. MICCAI (5) 2022: 140-150 - [i1]Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation. CoRR abs/2208.14876 (2022)
Coauthor Index
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