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2020 – today
- 2024
[j6]Huaqing He
, Jiaming Qiu, Li Lin, Zhiyuan Cai, Pujin Cheng, Xiaoying Tang:
JOINEDTrans: Prior guided multi-task transformer for joint optic disc/cup segmentation and fovea detection. Comput. Biol. Medicine 177: 108613 (2024)- [j5]Huilin Yang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
LDDMM-Face: Large deformation diffeomorphic metric learning for cross-annotation face alignment. Pattern Recognit. 154: 110569 (2024) - [j4]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) - [j3]Zhiyuan Cai, Li Lin, Huaqing He, Pujin Cheng, Xiaoying Tang:
Uni4Eye++: A General Masked Image Modeling Multi-Modal Pre-Training Framework for Ophthalmic Image Classification and Segmentation. IEEE Trans. Medical Imaging 43(12): 4419-4429 (2024) - [c25]Shiyun Chen, Li Lin, Pujin Cheng, Xiaoying Tang:
ASLSEG: Adapting Sam in the Loop for Semi-Supervised Liver Tumor Segmentation. ISBI 2024: 1-5 - [c24]Huaqing He, Li Lin, Zhiyuan Cai, Pujin Cheng, Xiaoying Tang:
Unveiling the Power of High-Quality OCT: An Effective Fundus-based Modality Fusion Network for Fovea Localization. ISBI 2024: 1-5 - [c23]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 - [c22]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 - [c21]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 - [c20]Qiuting Hu, Li Lin, Pujin Cheng, Xiaoying Tang:
CSSD: Cross-Supervision and Self-denoising for Hybrid-Supervised Hepatic Vessel Segmentation. MLMI@MICCAI (1) 2024: 350-360 - [i22]Li Lin, Yixiang Liu, Jiewei Wu, Pujin Cheng, Zhiyuan Cai, Kenneth K. Y. Wong, Xiaoying Tang:
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation. CoRR abs/2402.17502 (2024) - [i21]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) - [i20]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) - [i19]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) - [i18]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
- [j2]Li Lin, Linkai Peng, Huaqing He, Pujin Cheng, Jiewei Wu, Kenneth K. Y. Wong, Xiaoying Tang:
YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation. Medical Image Anal. 90: 102937 (2023) - [c19]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 - [c18]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 - [c17]Yijie Pang, Pujin Cheng, Junyan Lyu, Fan Lin, Xiaoying Tang:
Prior Guided 3D Medical Image Landmark Localization. MIDL 2023: 1163-1175 - [c16]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 - [c15]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 - [i17]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) - [i16]Huaqing He, Li Lin, Zhiyuan Cai, Pujin Cheng, Xiaoying Tang:
JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection. CoRR abs/2305.11504 (2023) - [i15]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) - [i14]Kai Pan, Linyang Li, Li Lin, Pujin Cheng, Junyan Lyu, Lei Xi, Xiaoying Tang:
Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior. CoRR abs/2312.07226 (2023) - [i13]Shiyun Chen, Li Lin, Pujin Cheng, Xiaoying Tang:
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation. CoRR abs/2312.07969 (2023) - 2022
- [j1]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) - [c14]Kai Pan, Pujin Cheng, Ziqi Huang, Li Lin, Xiaoying Tang:
Transformer-Based T2-weighted MRI Synthesis from T1-weighted Images. EMBC 2022: 5062-5065 - [c13]Linkai Peng, Li Lin, Pujin Cheng, Ziqi Huang, Xiaoying Tang:
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. ISBI 2022: 1-5 - [c12]Linkai Peng, Li Lin, Pujin Cheng, Huaqing He, Xiaoying Tang:
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation. MLMI@MICCAI 2022: 32-42 - [c11]Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang:
DS3-Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network. MICCAI (6) 2022: 571-581 - [i12]Linkai Peng, Li Lin, Pujin Cheng, Ziqi Huang, Xiaoying Tang:
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. CoRR abs/2201.04812 (2022) - [i11]Linkai Peng, Li Lin, Pujin Cheng, Huaqing He, Xiaoying Tang:
Student Become Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation. CoRR abs/2203.03631 (2022) - [i10]Ziqi Huang, Li Lin, Pujin Cheng, Linkai Peng, Xiaoying Tang:
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion. CoRR abs/2203.04586 (2022) - [i9]Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang:
DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network. CoRR abs/2203.06920 (2022) - [i8]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) - [i7]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) - [i6]Li Lin, Linkai Peng, Huaqing He, Pujin Cheng, Jiewei Wu, Kenneth K. Y. Wong, Xiaoying Tang:
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation. CoRR abs/2212.05566 (2022) - [i5]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
- [c10]Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang:
Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. ISBI 2021: 521-525 - [c9]Li Lin, Pujin Cheng, Zhonghua Wang, Meng Li, Kai Wang, Xiaoying Tang:
Automated Segmentation Of Corneal Nerves In Confocal Microscopy Via Contrastive Learning Based Synthesis And Quality Enhancement. ISBI 2021: 1314-1318 - [c8]Linkai Peng, Li Lin, Pujin Cheng, Zhonghua Wang, Xiaoying Tang:
FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images. OMIA@MICCAI 2021: 42-51 - [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 - [i4]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) - [i3]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) - [i2]Huilin Yang, Junyan Lyu, Pujin Cheng, Xiaoying Tang:
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment. CoRR abs/2108.00690 (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) - 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
2010 – 2019
- 2019
- [c1]Junyan Lyu, Pujin Cheng, Xiaoying Tang:
Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network. OMIA@MICCAI 2019: 112-120
Coauthor Index
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