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Heng Li 0010
Person information
- affiliation: Southern University of Science and Technology, Department of Computer Science and Engineering, Research Institute of Trustworthy Autonomous Systems, China
Other persons with the same name
- Heng Li — disambiguation page
- Heng Li 0001 — Hong Kong Polytechnic University, Department of Building and Real Estate, Hong Kong
- Heng Li 0002 — Broad Institute of Harvard and MIT, Medical Population Genetics Program, Cambridge, MA, USA (and 2 more)
- Heng Li 0003 — The University of Texas M. D. Anderson Cancer Center, Department of Radiation Physics, Houston, TX, USA
- Heng Li 0004 — Beijing Institute of Technology, School of Optoelectronics, China
- Heng Li 0005 — Central South University, School of Information Science and Engineering, Changsha, China (and 1 more)
- Heng Li 0006 — Shanghai Jiao Tong University, School of Biomedical Engineering, China
- Heng Li 0007 — Polytechnique Montreal, Department of Computer and Software Engineering, Montreal, Quebec, Canada (and 1 more)
- Heng Li 0008 — Huazhong University of Science and Technology, Wuhan, China
- Heng Li 0009 — Simon Fraser University, Burnaby, BC, Canada
- Heng Li 0011 — China University of Geosciences in Beijing, School of Information Engineering, China
- Heng Li 0012 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Heng Li 0013 — Harbin Institute of Technology, School of Electronic and Information Engineering, Shenzhen, China
- Heng Li 0014 — Harbin Institute of Technology, Harbin, China
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2020 – today
- 2024
- [j7]Yinglin Zhang, Ruiling Xi, Wei Wang, Heng Li, Lingxi Hu, Huiyan Lin, Dave Towey, Ruibin Bai, Huazhu Fu, Risa Higashita, Jiang Liu:
Low-Contrast Medical Image Segmentation via Transformer and Boundary Perception. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2297-2309 (2024) - [j6]Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Ke Niu, Na Guo, Huazhu Fu, Yan Hu, Jiang Liu:
Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement. IEEE Trans. Medical Imaging 43(4): 1323-1336 (2024) - [c21]Boyang Li, Haojin Li, Yule Zhang, Heng Li, Jiangyu Chen, Fuhai Pan, Jianwen Chen, Jiang Liu:
FD-SDG: Frequency Dropout Based Single Source Domain Generalization Framework for Retinal Vessel Segmentation. ICIC (LNBI 1) 2024: 393-404 - [c20]Yilun Qiu, Zhongxi Qiu, Yan Hu, Mingyang Bi, Yubo Wang, Jianwen Chen, Yitian Zhao, Heng Li, Jiang Liu:
Semi-ECNet: Edge-Consistency Based Semi-Supervised Retinal Vessel Segmentation Network. ISBI 2024: 1-5 - [c19]Huiyan Lin, Heng Li, Haojin Li, Xiangyang Yu, Kuai Yu, Chenhao Liang, Huazhu Fu, Jiang Liu:
Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis. OMIA@MICCAI 2024: 53-62 - [i12]Heng Li, Haojin Li, Jianyu Chen, Zhongxi Qiu, Huazhu Fu, Lidai Wang, Yan Hu, Jiang Liu:
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation. CoRR abs/2405.01228 (2024) - [i11]Ziqin Lin, Heng Li, Zinan Li, Huazhu Fu, Jiang Liu:
Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model? CoRR abs/2405.12584 (2024) - 2023
- [j5]Yiming Wang, Yan Hu, Junyong Shen, Xiaoqing Zhang, Heng Li, Zhongxi Qiu, Fangfu Ye, Jiang Liu:
CGBA-Net: context-guided bidirectional attention network for surgical instrument segmentation. Int. J. Comput. Assist. Radiol. Surg. 18(10): 1769-1781 (2023) - [j4]Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu:
A generic fundus image enhancement network boosted by frequency self-supervised representation learning. Medical Image Anal. 90: 102945 (2023) - [j3]Hongyang Jiang, Mengdi Gao, Heng Li, Richu Jin, Hanpei Miao, Jiang Liu:
Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification. IEEE J. Biomed. Health Informatics 27(1): 17-28 (2023) - [c18]Chenyang Mao, Xin Wang, Heng Li, Haojin Li, Dan Zhou, Jianwen Chen, Honglun Dong, Yan Hu, Jiang Liu:
Investigation and Analysis of Corneal Morphology in Young Divers. ICAI (1) 2023: 3-12 - [c17]Haojin Li, Heng Li, Hai Shu, Jianyu Chen, Yan Hu, Jiang Liu:
Self-Supervision Boosted Retinal Vessel Segmentation for Cross-Domain Data. ISBI 2023: 1-5 - [c16]Yuanming Lin, Heng Li, Haofeng Liu, Hai Shu, Zinan Li, Yan Hu, Jiang Liu:
Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network. ISBI 2023: 1-5 - [c15]Heng Li, Haojin Li, Wei Zhao, Huazhu Fu, Xiuyun Su, Yan Hu, Jiang Liu:
Frequency-Mixed Single-Source Domain Generalization for Medical Image Segmentation. MICCAI (6) 2023: 127-136 - [c14]Luoying Hao, Yan Hu, Wenjun Lin, Qun Wang, Heng Li, Huazhu Fu, Jinming Duan, Jiang Liu:
ACT-Net: Anchor-Context Action Detection in Surgery Videos. MICCAI (9) 2023: 196-206 - [c13]Sanqian Li, Risa Higashita, Huazhu Fu, Heng Li, Jingxuan Niu, Jiang Liu:
Content-Preserving Diffusion Model for Unsupervised AS-OCT Image Despeckling. MICCAI (7) 2023: 660-670 - [i10]Zhongxi Qiu, Yan Hu, Heng Li, Jiang Liu:
Learnable Ophthalmology SAM. CoRR abs/2304.13425 (2023) - [i9]Sanqian Li, Risa Higashita, Huazhu Fu, Heng Li, Jingxuan Liu, Jiang Liu:
Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling. CoRR abs/2306.17717 (2023) - [i8]Heng Li, Haojin Li, Wei Zhao, Huazhu Fu, Xiuyun Su, Yan Hu, Jiang Liu:
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation. CoRR abs/2307.09005 (2023) - [i7]Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hui Shu, Ke Niu, Yan Hu, Jiang Liu:
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning. CoRR abs/2309.00885 (2023) - [i6]Luoying Hao, Yan Hu, Wenjun Lin, Qun Wang, Heng Li, Huazhu Fu, Jinming Duan, Jiang Liu:
ACT-Net: Anchor-context Action Detection in Surgery Videos. CoRR abs/2310.03377 (2023) - [i5]Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Huazhu Fu, Yan Hu, Jiang Liu:
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement. CoRR abs/2312.01338 (2023) - 2022
- [j2]Yuchen Dang, Ziqi Chen, Heng Li, Hai Shu:
A Comparative Study of non-deep Learning, Deep Learning, and Ensemble Learning Methods for Sunspot Number Prediction. Appl. Artif. Intell. 36(1) (2022) - [j1]Heng Li, Haofeng Liu, Yan Hu, Huazhu Fu, Yitian Zhao, Hanpei Miao, Jiang Liu:
An Annotation-Free Restoration Network for Cataractous Fundus Images. IEEE Trans. Medical Imaging 41(7): 1699-1710 (2022) - [c12]Kuang Shu, Heng Li, Jie Cheng, Qinghai Guo, Luziwei Leng, Jianxing Liao, Yan Hu, Jiang Liu:
Replay-Oriented Gradient Projection Memory for Continual Learning in Medical Scenarios. BIBM 2022: 1724-1729 - [c11]Haofeng Liu, Haojin Li, Xiaoxuan Wang, Heng Li, Mingyang Ou, Luoying Hao, Yan Hu, Jiang Liu:
Understanding How Fundus Image Quality Degradation Affects CNN-based Diagnosis. EMBC 2022: 438-442 - [c10]Mingyang Ou, Heng Li, Haofeng Liu, Xiaoxuan Wang, Chenlang Yi, Luoying Hao, Yan Hu, Jiang Liu:
MVD-Net: Semantic Segmentation of Cataract Surgery Using Multi-View Learning. EMBC 2022: 5035-5038 - [c9]Heng Li, Haofeng Liu, Xiaoxuan Wang, Chenlang Yi, Hao Chen, Yan Hu, Jiang Liu:
Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation. ISBI 2022: 1-5 - [c8]Haofeng Liu, Heng Li, Mingyang Ou, Yitian Zhao, Hong Qi, Yan Hu, Jiang Liu:
Domain Generalization in Restoration of Cataract Fundus Images Via High-Frequency Components. ISBI 2022: 1-5 - [c7]Haili Ye, Hanpei Miao, Jiang Liu, Dahan Wang, Heng Li:
Temporal Context Framework for Endoscopy Artefact Segmentation and Detection. EndoCV@ISBI 2022: 40-45 - [c6]Haojin Li, Heng Li, Zhongxi Qiu, Yan Hu, Jiang Liu:
Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component. OMIA@MICCAI 2022: 115-124 - [c5]Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu:
Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement. MICCAI (2) 2022: 487-496 - [c4]Haofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu:
Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network. MICCAI (2) 2022: 507-516 - [c3]Xingyue Wang, Heng Li, Zunjie Xiao, Huazhu Fu, Yitian Zhao, Richu Jin, Shuting Zhang, William Robert Kwapong, Ziyi Zhang, Hanpei Miao, Jiang Liu:
Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity. MICCAI (2) 2022: 688-698 - [i4]Yuchen Dang, Ziqi Chen, Heng Li, Hai Shu:
A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction. CoRR abs/2203.05757 (2022) - [i3]Heng Li, Haofeng Liu, Yan Hu, Huazhu Fu, Yitian Zhao, Hanpei Miao, Jiang Liu:
An Annotation-free Restoration Network for Cataractous Fundus Images. CoRR abs/2203.07737 (2022) - [i2]Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu:
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement. CoRR abs/2206.04684 (2022) - [i1]Haofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu:
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network. CoRR abs/2210.09606 (2022) - 2021
- [c2]Heng Li, Haofeng Liu, Yan Hu, Risa Higashita, Yitian Zhao, Hong Qi, Jiang Liu:
Restoration Of Cataract Fundus Images Via Unsupervised Domain Adaptation. ISBI 2021: 516-520 - 2020
- [c1]Heng Li, Yan Hu, Sanqian Li, Wenjun Lin, Peng Liu, Risa Higashita, Jiang Liu:
CT Scan Synthesis for Promoting Computer-Aided Diagnosis Capacity of COVID-19. ICIC (2) 2020: 413-422
Coauthor Index
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last updated on 2024-11-27 20:31 CET by the dblp team
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