Yijin Huang

According to our database, Yijin Huang authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

2023

Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement.

Pujin Cheng, Li Lin, Yijin Huang, Huaqing He, Wenhan Luo, Xiaoying Tang

CoRR, 2023

MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data.

Fuheng Zhang, Sirui Li, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification.

Sirui Li, Fuheng Zhang, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis.

Silong Li, Jiaming Qiu, Yijin Huang, Xiaoying Tang, Terry Tao Ye

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment.

Juntao Chen, Li Lin, Pujin Cheng, Yijin Huang, Xiaoying Tang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

PRIOR: Prototype Representation Joint Learning from Medical Images and Reports.

Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation.

Junyan Lyu, Yiqi Zhang, Yijin Huang, Li Lin, Pujin Cheng, Xiaoying Tang

IEEE Trans. Medical Imaging, 2022

SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading.

Yijin Huang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang

CoRR, 2022

LesionPaste: One-Shot Anomaly Detection for Medical Images.

Weikai Huang, Yijin Huang, Xiaoying Tang

CoRR, 2022

AugPaste: One-Shot Anomaly Detection for Medical Images.

Weikai Huang, Yijin Huang, Xiaoying Tang

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Lesion2void: Unsupervised Anomaly Detection in Fundus Images.

Yijin Huang, Weikai Huang, Wenhao Luo, Xiaoying Tang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Multi-parametric Magnetic Resonance Imaging Fusion for Automatic Classification of Prostate Cancer.

Weikai Huang, Xiangyu Wang, Yijin Huang, Fan Lin, Xiaoying Tang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation.

Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang

CoRR, 2021

BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images.

Li Lin, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng, Jiong Wu, Xiaoying Tang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images.

Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining.

Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning.

Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

Biomed. Signal Process. Control., 2020

Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images.

Zhonghua Wang, Yijin Huang, Junyan Lyu, Pujin Cheng, Xiaoying Tang

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Automated Diabetic Retinopathy Identification via Lesion Guided Network.

Xiaoying Tang, Yijin Huang, Li Lin, Meng Li, Jin Yuan

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy.

Yijin Huang, Li Lin, Meng Li, Jiewei Wu, Pujin Cheng, Kai Wang, Jin Yuan, Xiaoying Tang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Probability distribution guided optic disc and cup segmentation from fundus images.

Pujin Cheng, Junyan Lyu, Yijin Huang, Xiaoying Tang

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020