Probability distribution guided optic disc and cup segmentation from fundus images. - Pujin Cheng; Junyan Lyu; Yijin Huang; Xiaoying Tang 001 (EMBC, 2020)

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)

Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images. - Zhonghua Wang; Yijin Huang; Junyan Lyu; Pujin Cheng; Xiaoying Tang 001 (ISICDM, 2020)

Efficient and robust optic disc detection and fovea localization using region proposal network and cascaded network. - Yijin Huang; Zhiquan Zhong; Jin Yuan; Xiaoying Tang 001 (Biomed. Signal Process. Control., 2020)

Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. - Pujin Cheng; Li Lin 006; Yijin Huang; Junyan Lyu; 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)

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)

Multi-parametric Magnetic Resonance Imaging Fusion for Automatic Classification of Prostate Cancer. - Weikai Huang; Xiangyu Wang; Yijin Huang; Fan Lin; Xiaoying Tang 001 (EMBC, 2022)

Lesion2void: Unsupervised Anomaly Detection in Fundus Images. - Yijin Huang; Weikai Huang; Wenhao Luo; Xiaoying Tang 001 (ISBI, 2022)

AugPaste: One-Shot Anomaly Detection for Medical Images. - Weikai Huang; Yijin Huang; Xiaoying Tang 001 (OMIA@MICCAI, 2022)

LesionPaste: One-Shot Anomaly Detection for Medical Images. - Weikai Huang; Yijin Huang; 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)

An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis. - Silong Li; Jiaming Qiu; Yijin Huang; Xiaoying Tang 001; Terry Tao Ye (Image Processing, 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)

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)

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)

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)

Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image Classification. - Yijin Huang; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (MICCAI (12), 2024)

SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model. - Nanxi Yu; Zhiyuan Cai; Yijin Huang; Xiaoying Tang 001 (TAI4H, 2024)

AugPaste: A one-shot approach for diabetic retinopathy detection. - Jiaming Qiu; Weikai Huang; Yijin Huang; Nanxi Yu; Xiaoying Tang 001 (Biomed. Signal Process. Control., 2024)

FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification. - Yijin Huang; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (CoRR, 2024)

FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification. - Yijin Huang; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (CoRR, 2024)

SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy Grading. - Yijin Huang; Junyan Lyu; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (IEEE J. Biomed. Health Informatics, 2024)