Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy. - Yijin Huang; Li Lin 006; Meng Li; Jiewei Wu; Pujin Cheng; Kai Wang 063; Jin Yuan; Xiaoying Tang 001 (ISBI, 2020)

Automated Diabetic Retinopathy Identification via Lesion Guided Network. - Xiaoying Tang 001; Yijin Huang; Li Lin 006; Meng Li; Jin Yuan (ISICDM, 2020)

Generative Adversarial Training with Dual-Attention for Vascular Segmentation and Topological Analysis. - Xueying Wang; Xiaoya Liu; Li Lin 006; Qiongyu Guo; Xiaoying Tang 001 (EMBC, 2021)

Multi-task Learning Based Ocular Disease Discrimination and FAZ Segmentation Utilizing OCTA Images. - Zhonghua Wang; Li Lin 006; Jiewei Wu; Xiaoying Tang 001 (EMBC, 2021)

Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. - Pujin Cheng; Li Lin 006; Yijin Huang; Junyan Lyu; Xiaoying Tang 001 (ISBI, 2021)

Automated Segmentation Of Corneal Nerves In Confocal Microscopy Via Contrastive Learning Based Synthesis And Quality Enhancement. - Li Lin 006; Pujin Cheng; Zhonghua Wang; Meng Li; Kai Wang 063; Xiaoying Tang 001 (ISBI, 2021)

I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining. - Pujin Cheng; Li Lin 006; Yijin Huang; Junyan Lyu; Xiaoying Tang 001 (MICCAI (8), 2021)

Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. - Yijin Huang; Li Lin 006; Pujin Cheng; Junyan Lyu; Xiaoying Tang 001 (MICCAI (2), 2021)

BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images. - Li Lin 006; Zhonghua Wang; Jiewei Wu; Yijin Huang; Junyan Lyu; Pujin Cheng; Jiong Wu; Xiaoying Tang 001 (MICCAI (8), 2021)

FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images. - Linkai Peng; Li Lin 006; Pujin Cheng; Zhonghua Wang; Xiaoying Tang 001 (OMIA@MICCAI, 2021)

Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation. - Yijin Huang; Li Lin 006; Pujin Cheng; Junyan Lyu; Xiaoying Tang 001 (CoRR, 2021)

Transformer-Based T2-weighted MRI Synthesis from T1-weighted Images. - Kai Pan; Pujin Cheng; Ziqi Huang; Li Lin 006; Xiaoying Tang 001 (EMBC, 2022)

Corolla: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading. - Zhiyuan Cai; Li Lin 006; Huaqing He; Xiaoying Tang 001 (ISBI, 2022)

Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. - Linkai Peng; Li Lin 006; Pujin Cheng; Ziqi Huang; Xiaoying Tang 001 (ISBI, 2022)

Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification. - Zhiyuan Cai; Li Lin 006; Huaqing He; Xiaoying Tang 001 (MICCAI (8), 2022)

DS3-Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network. - Ziqi Huang; Li Lin 006; Pujin Cheng; Kai Pan; Xiaoying Tang 001 (MICCAI (6), 2022)

Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation. - Linkai Peng; Li Lin 006; Pujin Cheng; Huaqing He; Xiaoying Tang 001 (MLMI@MICCAI, 2022)

JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection. - Huaqing He; Li Lin 006; Zhiyuan Cai; Xiaoying Tang 001 (MIDL, 2022)

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Lexing Huang; Qinji Yu; Sifan Song; Xingxing Xu; Yanyu Xu; Wensai Wang; et al. (CoRR, 2022)

Student Become Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation. - Linkai Peng; Li Lin 006; Pujin Cheng; Huaqing He; Xiaoying Tang 001 (CoRR, 2022)

Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion. - Ziqi Huang; Li Lin 006; Pujin Cheng; Linkai Peng; Xiaoying Tang 001 (CoRR, 2022)

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network. - Ziqi Huang; Li Lin 006; Pujin Cheng; Kai Pan; Xiaoying Tang 001 (CoRR, 2022)

AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation. - Junyan Lyu; Yiqi Zhang; Yijin Huang; Li Lin 006; Pujin Cheng; Xiaoying Tang 001 (IEEE Trans. Medical Imaging, 2022)

PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. - Pujin Cheng; Li Lin 006; Junyan Lyu; Yijin Huang; Wenhan Luo; Xiaoying Tang 001 (ICCV, 2023)

Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment. - Juntao Chen; Li Lin 006; Pujin Cheng; Yijin Huang; Xiaoying Tang 001 (ISBI, 2023)

CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification. - Sirui Li; Fuheng Zhang; Tianyunxi Wei; Li Lin 006; Yijin Huang; Pujin Cheng; Xiaoying Tang 001 (MLMI@MICCAI (2), 2023)

Unifying and Personalizing Weakly-Supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation. - Li Lin 006; Jiewei Wu; Yixiang Liu; Kenneth K. Y. Wong; Xiaoying Tang 001 (MLMI@MICCAI (1), 2023)

MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data. - Fuheng Zhang; Sirui Li; Tianyunxi Wei; Li Lin 006; Yijin Huang; Pujin Cheng; Xiaoying Tang 001 (MLMI@MICCAI (2), 2023)

Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement. - Pujin Cheng; Li Lin 006; Yijin Huang; Huaqing He; Wenhan Luo; Xiaoying Tang 001 (CoRR, 2023)

JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection. - Huaqing He; Li Lin 006; Zhiyuan Cai; Pujin Cheng; Xiaoying Tang 001 (CoRR, 2023)

Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior. - Kai Pan; Linyang Li; Li Lin 006; Pujin Cheng; Junyan Lyu; Lei Xi; Xiaoying Tang 001 (CoRR, 2023)

YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation. - Li Lin 006; Linkai Peng; Huaqing He; Pujin Cheng; Jiewei Wu; Kenneth K. Y. Wong; Xiaoying Tang 001 (Medical Image Anal., 2023)

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Yue Huang 001; Qinji Yu; Sifan Song; Xinxing Xu; Yanyu Xu; Wensai Wang; et al. (Medical Image Anal., 2023)

Masked Modality Complementary Modeling for Brain Tumor Segmentation. - Jianwen Liang; Li Lin 006; Junyan Lyu; Xiaoying Tang 001 (BIBM, 2024)

Joint Super-Resolution and Modality Translation Network for Multi-Contrast Arbitrary-Scale Isotropic MRI Reconstruction. - Kai Pan; Li Lin 006; Pujin Cheng; Junyan Lyu; Xiaoying Tang 001 (BIBM, 2024)

Fusion Side Tuning: A Parameter and Memory Efficient Fine-tuning Method for High-resolution Medical Image Classification. - Zhangchi Wang; Yijin Huang; Yidu Wu; Pujin Cheng; Li Lin 006; Qinghai Guo; Xiaoying Tang 001 (BIBM, 2024)

Fast Diffeomorphic Image Registration using Patch based Fully Convolutional Networks. - Jiong Wu; Shuang Zhou; Li Lin 006; Xin Wang; Wenxue Tan (EMBC, 2024)

ASLSEG: Adapting Sam in the Loop for Semi-Supervised Liver Tumor Segmentation. - Shiyun Chen; Li Lin 006; Pujin Cheng; Xiaoying Tang 001 (ISBI, 2024)

Unveiling the Power of High-Quality OCT: An Effective Fundus-based Modality Fusion Network for Fovea Localization. - Huaqing He; Li Lin 006; Zhiyuan Cai; Pujin Cheng; Xiaoying Tang 001 (ISBI, 2024)

Text-Guided Foundation Model Adaptation for Long-Tailed Medical Image Classification. - Sirui Li; Li Lin 006; Yijin Huang; Pujin Cheng; Xiaoying Tang 001 (ISBI, 2024)

Saliency-Guided and Patch-Based Mixup for Long-Tailed Skin Cancer Image Classification. - Tianyunxi Wei; Yijin Huang; Li Lin 006; Pujin Cheng; Sirui Li; Xiaoying Tang 001 (ISBI, 2024)

BPaCo: Balanced Parametric Contrastive Learning for Long-Tailed Medical Image Classification. - Zhiyuan Cai; Tianyunxi Wei; Li Lin 006; Hao Chen; Xiaoying Tang 001 (MICCAI (1), 2024)

CSSD: Cross-Supervision and Self-denoising for Hybrid-Supervised Hepatic Vessel Segmentation. - Qiuting Hu; Li Lin 006; Pujin Cheng; Xiaoying Tang 001 (MLMI@MICCAI (1), 2024)

JOINEDTrans: Prior guided multi-task transformer for joint optic disc/cup segmentation and fovea detection. - Huaqing He; Jiaming Qiu; Li Lin 006; Zhiyuan Cai; Pujin Cheng; Xiaoying Tang 001 (Comput. Biol. Medicine, 2024)

Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment. - Shiyun Chen; Li Lin 006; Pujin Cheng; ZhiCheng Jin; JianJian Chen; HaiDong Zhu; Kenneth K. Y. Wong; Xiaoying Tang 001 (CoRR, 2024)

Uni4Eye++: A General Masked Image Modeling Multi-Modal Pre-Training Framework for Ophthalmic Image Classification and Segmentation. - Zhiyuan Cai; Li Lin 006; Huaqing He; Pujin Cheng; Xiaoying Tang 001 (IEEE Trans. Medical Imaging, 2024)

AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer. - Jin Lyu; Tianyi Zhu; Yi Gu; Li Lin 006; Pujin Cheng; Yebin Liu; Xiaoying Tang 001; Liang An 001 (CVPR, 2025)

Test-Time Fluorescein Angiography-Free Non-Perfusion Area Segmentation from Fundus Image. - Juntao Chen; Li Lin 006; Jiaming Qiu; Huiyu Liang; Terry Tao Ye; Haoyu Chen; Xiaoying Tang 001 (ISBI, 2025)

UniCurvSeg: Learning Contextual Prompt for Universal Vessel-Like Curvilinear Structure Segmentation. - Qiuting Hu; Li Lin 006; Pujin Cheng; Xiaoying Tang 001 (ISBI, 2025)

Multi-modal evidential fusion network for trustworthy PET/CT tumor segmentation. - Yuxuan Qi; Li Lin 006; Bin Zhang 049; Jing-ya Zhang; Jiajun Wang (Knowl. Based Syst., 2025)

LF-SynthSeg: Label-Free Brain Tissue-Assisted Tumor Synthesis and Segmentation. - Pengxiao Xu; Junyan Lyu; Li Lin 006; Pujin Cheng; Xiaoying Tang 001 (IEEE J. Biomed. Health Informatics, 2025)

Accurate and Anti-Interference Control of Computer Vision-Assisted Light-Driven Liquid Crystal Elastomer Actuator. - Wei Zhang; Zongxuan Wu; Li Lin 006; Yanjun Liu; Xiaoying Tang 001; Yajing Shen; Dan Luo (Adv. Intell. Syst., 2025)

FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-Supervised Medical Image Segmentation. - Li Lin 006; Yixiang Liu; Jiewei Wu; Pujin Cheng; Zhiyuan Cai; Kenneth K. Y. Wong; Xiaoying Tang 001 (IEEE Trans. Medical Imaging, 2025)

ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation. - Yixiang Liu; Li Lin 006; Kenneth K. Y. Wong; Xiaoying Tang 001 (IEEE J. Biomed. Health Informatics, 2025)

AniMer+: Unified Pose and Shape Estimation Across Mammalia and Aves via Family-Aware Transformer. - Jin Lyu; Liang An 001; Li Lin 006; Pujin Cheng; Yebin Liu; Xiaoying Tang 001 (CoRR, 2025)