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Journal Articles
- 2024
[j4]Jiaming Qiu, Weikai Huang, Yijin Huang, Nanxi Yu
, Xiaoying Tang:
AugPaste: A one-shot approach for diabetic retinopathy detection. Biomed. Signal Process. Control. 96: 106489 (2024)- [j3]Yijin Huang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy Grading. IEEE J. Biomed. Health Informatics 28(5): 2806-2817 (2024) - 2022
- [j2]Junyan Lyu, Yiqi Zhang, Yijin Huang, Li Lin, Pujin Cheng, Xiaoying Tang:
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation. IEEE Trans. Medical Imaging 41(12): 3699-3711 (2022) - 2020
- [j1]Yijin Huang, Zhiquan Zhong, Jin Yuan, Xiaoying Tang:
Efficient and robust optic disc detection and fovea localization using region proposal network and cascaded network. Biomed. Signal Process. Control. 60: 101939 (2020)
Conference and Workshop Papers
- 2024
- [c20]Sirui Li, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
Text-Guided Foundation Model Adaptation for Long-Tailed Medical Image Classification. ISBI 2024: 1-5 - [c19]Tianyunxi Wei, Yijin Huang, Li Lin, Pujin Cheng, Sirui Li, Xiaoying Tang:
Saliency-Guided and Patch-Based Mixup for Long-Tailed Skin Cancer Image Classification. ISBI 2024: 1-5 - [c18]Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image Classification. MICCAI (12) 2024: 120-130 - [c17]Nanxi Yu, Zhiyuan Cai, Yijin Huang, Xiaoying Tang:
SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model. TAI4H 2024: 109-122 - 2023
- [c16]Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang:
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. ICCV 2023: 21304-21314 - [c15]Juntao Chen, Li Lin, Pujin Cheng, Yijin Huang, Xiaoying Tang:
Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment. ISBI 2023: 1-5 - [c14]Silong Li, Jiaming Qiu, Yijin Huang, Xiaoying Tang, Terry Tao Ye:
An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis. Medical Imaging: Image Processing 2023 - [c13]Sirui Li, Fuheng Zhang, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification. MLMI@MICCAI (2) 2023: 303-313 - [c12]Fuheng Zhang, Sirui Li, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data. MLMI@MICCAI (2) 2023: 314-324 - 2022
- [c11]Weikai Huang, Xiangyu Wang, Yijin Huang, Fan Lin, Xiaoying Tang:
Multi-parametric Magnetic Resonance Imaging Fusion for Automatic Classification of Prostate Cancer. EMBC 2022: 471-474 - [c10]Yijin Huang, Weikai Huang, Wenhao Luo, Xiaoying Tang:
Lesion2void: Unsupervised Anomaly Detection in Fundus Images. ISBI 2022: 1-5 - [c9]Weikai Huang, Yijin Huang, Xiaoying Tang:
AugPaste: One-Shot Anomaly Detection for Medical Images. OMIA@MICCAI 2022: 1-11 - 2021
- [c8]Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang:
Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. ISBI 2021: 521-525 - [c7]Li Lin, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng, Jiong Wu, Xiaoying Tang:
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images. MICCAI (8) 2021: 65-75 - [c6]Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang:
I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining. MICCAI (8) 2021: 87-96 - [c5]Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. MICCAI (2) 2021: 113-123 - 2020
- [c4]Pujin Cheng, Junyan Lyu, Yijin Huang, Xiaoying Tang:
Probability distribution guided optic disc and cup segmentation from fundus images. EMBC 2020: 1976-1979 - [c3]Yijin Huang, Li Lin, Meng Li, Jiewei Wu, Pujin Cheng, Kai Wang, Jin Yuan, Xiaoying Tang:
Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy. ISBI 2020: 1369-1372 - [c2]Zhonghua Wang, Yijin Huang, Junyan Lyu, Pujin Cheng, Xiaoying Tang:
Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images. ISICDM 2020: 126-129 - [c1]Xiaoying Tang, Yijin Huang, Li Lin, Meng Li, Jin Yuan:
Automated Diabetic Retinopathy Identification via Lesion Guided Network. ISICDM 2020: 141-144
Informal and Other Publications
- 2024
- [i13]Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification. CoRR abs/2403.07576 (2024) - [i12]Tianyunxi Wei, Yijin Huang, Li Lin, Pujin Cheng, Sirui Li, Xiaoying Tang:
Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image Classification. CoRR abs/2406.10801 (2024) - [i11]Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification. CoRR abs/2408.02426 (2024) - [i10]Sirui Li, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification. CoRR abs/2408.14770 (2024) - 2023
- [i9]Pujin Cheng, Li Lin, Yijin Huang, Huaqing He, Wenhan Luo, Xiaoying Tang:
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement. CoRR abs/2303.04603 (2023) - [i8]Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang:
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. CoRR abs/2307.12577 (2023) - 2022
- [i7]Weikai Huang, Yijin Huang, Xiaoying Tang:
LesionPaste: One-Shot Anomaly Detection for Medical Images. CoRR abs/2203.06354 (2022) - [i6]Junyan Lyu, Yiqi Zhang, Yijin Huang, Li Lin, Pujin Cheng, Xiaoying Tang:
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation. CoRR abs/2207.13249 (2022) - [i5]Yijin Huang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading. CoRR abs/2210.10969 (2022) - [i4]Juntao Chen, Li Lin, Pujin Cheng, Yijin Huang, Xiaoying Tang:
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment. CoRR abs/2212.10541 (2022) - 2021
- [i3]Li Lin, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng, Jiong Wu, Xiaoying Tang:
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images. CoRR abs/2107.04823 (2021) - [i2]Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. CoRR abs/2107.08274 (2021) - [i1]Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation. CoRR abs/2110.14160 (2021)
Coauthor Index
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