CT Scan Synthesis for Promoting Computer-Aided Diagnosis Capacity of COVID-19. - Heng Li 010; Yan Hu; Sanqian Li; Wenjun Lin; Peng Liu 049; Risa Higashita; Jiang Liu 001 (ICIC (2), 2020)

Restoration Of Cataract Fundus Images Via Unsupervised Domain Adaptation. - Heng Li 010; Haofeng Liu; Yan Hu; Risa Higashita; Yitian Zhao; Hong Qi; Jiang Liu 001 (ISBI, 2021)

Replay-Oriented Gradient Projection Memory for Continual Learning in Medical Scenarios. - Kuang Shu; Heng Li 010; Jie Cheng; Qinghai Guo; Luziwei Leng; Jianxing Liao; Yan Hu; Jiang Liu 001 (BIBM, 2022)

Understanding How Fundus Image Quality Degradation Affects CNN-based Diagnosis. - Haofeng Liu; Haojin Li; Xiaoxuan Wang; Heng Li 010; Mingyang Ou; Luoying Hao; Yan Hu; Jiang Liu 001 (EMBC, 2022)

MVD-Net: Semantic Segmentation of Cataract Surgery Using Multi-View Learning. - Mingyang Ou; Heng Li 010; Haofeng Liu; Xiaoxuan Wang; Chenlang Yi; Luoying Hao; Yan Hu; Jiang Liu 001 (EMBC, 2022)

Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation. - Heng Li 010; Haofeng Liu; Xiaoxuan Wang; Chenlang Yi; Hao Chen 011; Yan Hu; Jiang Liu 001 (ISBI, 2022)

Domain Generalization in Restoration of Cataract Fundus Images Via High-Frequency Components. - Haofeng Liu; Heng Li 010; Mingyang Ou; Yitian Zhao; Hong Qi; Yan Hu; Jiang Liu 001 (ISBI, 2022)

Temporal Context Framework for Endoscopy Artefact Segmentation and Detection. - Haili Ye; Hanpei Miao; Jiang Liu 001; Dahan Wang; Heng Li 010 (EndoCV@ISBI, 2022)

Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement. - Heng Li 010; Haofeng Liu; Huazhu Fu; Hai Shu; Yitian Zhao; Xiaoling Luo; Yan Hu; Jiang Liu 001 (MICCAI (2), 2022)

Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component. - Haojin Li; Heng Li 010; Zhongxi Qiu; Yan Hu; Jiang Liu 001 (OMIA@MICCAI, 2022)

Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network. - Haofeng Liu; Heng Li 010; Huazhu Fu; Ruoxiu Xiao; Yunshu Gao; Yan Hu; Jiang Liu 001 (MICCAI (2), 2022)

Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity. - Xingyue Wang; Heng Li 010; Zunjie Xiao; Huazhu Fu; Yitian Zhao; Richu Jin; Shuting Zhang; William Robert Kwapong; Ziyi Zhang; Hanpei Miao; Jiang Liu 001 (MICCAI (2), 2022)

A Comparative Study of non-deep Learning, Deep Learning, and Ensemble Learning Methods for Sunspot Number Prediction. - Yuchen Dang; Ziqi Chen 002; Heng Li 010; Hai Shu (Appl. Artif. Intell., 2022)

An Annotation-Free Restoration Network for Cataractous Fundus Images. - Heng Li 010; Haofeng Liu; Yan Hu; Huazhu Fu; Yitian Zhao; Hanpei Miao; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2022)

Investigation and Analysis of Corneal Morphology in Young Divers. - Chenyang Mao; Xin Wang; Heng Li 010; Haojin Li; Dan Zhou; Jianwen Chen; Honglun Dong; Yan Hu; Jiang Liu 001 (ICAI (1), 2023)

Self-Supervision Boosted Retinal Vessel Segmentation for Cross-Domain Data. - Haojin Li; Heng Li 010; Hai Shu; Jianyu Chen; Yan Hu; Jiang Liu 001 (ISBI, 2023)

Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network. - Yuanming Lin; Heng Li 010; Haofeng Liu; Hai Shu; Zinan Li; Yan Hu; Jiang Liu 001 (ISBI, 2023)

ACT-Net: Anchor-Context Action Detection in Surgery Videos. - Luoying Hao; Yan Hu; Wenjun Lin; Qun Wang; Heng Li 010; Huazhu Fu; Jinming Duan 001; Jiang Liu 001 (MICCAI (9), 2023)

Content-Preserving Diffusion Model for Unsupervised AS-OCT Image Despeckling. - Sanqian Li; Risa Higashita; Huazhu Fu; Heng Li 010; Jingxuan Niu; Jiang Liu 001 (MICCAI (7), 2023)

Frequency-Mixed Single-Source Domain Generalization for Medical Image Segmentation. - Heng Li 010; Haojin Li; Wei Zhao; Huazhu Fu; Xiuyun Su; Yan Hu; Jiang Liu 001 (MICCAI (6), 2023)

Learnable Ophthalmology SAM. - Zhongxi Qiu; Yan Hu; Heng Li 010; Jiang Liu 001 (CoRR, 2023)

Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling. - Sanqian Li; Risa Higashita; Huazhu Fu; Heng Li 010; Jingxuan Liu; Jiang Liu 001 (CoRR, 2023)

A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning. - Heng Li 010; Haofeng Liu; Huazhu Fu; Yanwu Xu 001; Hui Shu; Ke Niu 002; Yan Hu; Jiang Liu 001 (CoRR, 2023)

Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement. - Heng Li 010; Ziqin Lin; Zhongxi Qiu; Zinan Li; Huazhu Fu; Yan Hu; Jiang Liu 001 (CoRR, 2023)

Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification. - Hongyang Jiang 001; Mengdi Gao; Heng Li 010; Richu Jin; Hanpei Miao; Jiang Liu 001 (IEEE J. Biomed. Health Informatics, 2023)

CGBA-Net: context-guided bidirectional attention network for surgical instrument segmentation. - Yiming Wang; Yan Hu; Junyong Shen; Xiaoqing Zhang 001; Heng Li 010; Zhongxi Qiu; Fangfu Ye; Jiang Liu 001 (Int. J. Comput. Assist. Radiol. Surg., 2023)

A generic fundus image enhancement network boosted by frequency self-supervised representation learning. - Heng Li 010; Haofeng Liu; Huazhu Fu; Yanwu Xu 001; Hai Shu; Ke Niu 002; Yan Hu; Jiang Liu 001 (Medical Image Anal., 2023)

FD-SDG: Frequency Dropout Based Single Source Domain Generalization Framework for Retinal Vessel Segmentation. - Boyang Li; Haojin Li; Yule Zhang; Heng Li 010; Jiangyu Chen; Fuhai Pan; Jianwen Chen; Jiang Liu 001 (ICIC (LNBI 1), 2024)

Semi-ECNet: Edge-Consistency Based Semi-Supervised Retinal Vessel Segmentation Network. - Yilun Qiu; Zhongxi Qiu; Yan Hu; Mingyang Bi; Yubo Wang; Jianwen Chen; Yitian Zhao; Heng Li 010; Jiang Liu 001 (ISBI, 2024)

Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis. - Huiyan Lin; Heng Li 010; Haojin Li; Xiangyang Yu; Kuai Yu; Chenhao Liang; Huazhu Fu; Jiang Liu 001 (OMIA@MICCAI, 2024)

RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation. - Heng Li 010; Haojin Li; Jianyu Chen; Zhongxi Qiu; Huazhu Fu; Lidai Wang; Yan Hu; Jiang Liu 001 (CoRR, 2024)

Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model? - Ziqin Lin; Heng Li 010; Zinan Li; Huazhu Fu; Jiang Liu 001 (CoRR, 2024)

Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement. - Heng Li 010; Ziqin Lin; Zhongxi Qiu; Zinan Li; Ke Niu 002; Na Guo; Huazhu Fu; Yan Hu; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2024)

Low-Contrast Medical Image Segmentation via Transformer and Boundary Perception. - Yinglin Zhang; Ruiling Xi; Wei Wang 490; Heng Li 010; Lingxi Hu; Huiyan Lin; Dave Towey; Ruibin Bai; Huazhu Fu; Risa Higashita; Jiang Liu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation. - Haojin Li; Heng Li 010; Jianyu Chen; Rihan Zhong; Ke Niu 002; Huazhu Fu; Jiang Liu 001 (AAAI, 2025)

RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection. - Wenjun Hou; Yi Cheng; Kaishuai Xu; Heng Li 010; Yan Hu; Wenjie Li; Jiang Liu 001 (ACL (1), 2025)

PedFed: A performance evaluation-driven federated learning framework for efficient communication. - Ke Niu 002; Wenjuan Tai; Xueping Peng; Zhongmin Guo; Can Zhang; Heng Li 010 (Int. J. Model. Simul. Sci. Comput., 2025)

Multi-View Test-Time Adaptation for Semantic Segmentation in Clinical Cataract Surgery. - Heng Li 010; Mingyang Ou; Haojin Li; Zhongxi Qiu; Ke Niu 002; Huazhu Fu; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2025)

Unleashing Diffusion and State Space Models for Medical Image Segmentation. - Rong Wu; Ziqi Chen 002; Liming Zhong; Heng Li 010; Hai Shu (CoRR, 2025)

Endoscopic Depth Estimation Based on Deep Learning: A Survey. - Ke Niu 002; Zeyun Liu; Xue Feng; Heng Li 010; Kaize Shi (CoRR, 2025)