Pujin Cheng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 44

Top Topics

Tumor Segmentation

Vessel Segmentation

Image Classification

Top Venues

MLMI@MICCAI (2)

Publications

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 (2024)
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) (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2023)
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)
Kai Pan, Linyang Li, Li Lin, Pujin Cheng, Junyan Lyu, Lei Xi, Xiaoyin Tang
Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior. CoRR (2023)
Shiyun Chen, Li Lin, Pujin Cheng, Xiaoying Tang
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation. CoRR (2023)
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 (2023)
Pujin Cheng, Li Lin, Yijin Huang, Huaqing He, Wenhan Luo, Xiaoying Tang
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement. CoRR (2023)
Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. CoRR (2023)
Yijie Pang, Pujin Cheng, Junyan Lyu, Fan Lin, Xiaoying Tang
Prior Guided 3D Medical Image Landmark Localization. MIDL (2023)
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)
Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. ICCV (2023)
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)
Kai Pan, Pujin Cheng, Ziqi Huang, Li Lin, Xiaoying Tang
Transformer-Based T2-weighted MRI Synthesis from T1-weighted Images. EMBC (2022)
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 (2022)
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 (2022)
Junyan Lyu, Yiqi Zhang, Yijin Huang, Li Lin, Pujin Cheng, Xiaoying Tang
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation. CoRR (2022)
Yijin Huang, Junyan Lyu, Pujin Cheng, Roger Tam, Xiaoying Tang
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading. CoRR (2022)
Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang
DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network. CoRR (2022)
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)
Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang
-Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network. MICCAI (6) (2022)
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 (2022)
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 (2022)
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 (2022)
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) (2022)
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)
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)
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 (2021)
Huilin Yang, Junyan Lyu, Pujin Cheng, Xiaoying Tang
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment. CoRR (2021)
Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang
Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. ISBI (2021)
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)
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)
Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. CoRR (2021)
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)
Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang
Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. MICCAI (2) (2021)
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 (2021)
Pujin Cheng, Junyan Lyu, Yijin Huang, Xiaoying Tang
Probability distribution guided optic disc and cup segmentation from fundus images. EMBC (2020)
Zhonghua Wang, Yijin Huang, Junyan Lyu, Pujin Cheng, Xiaoying Tang
Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images. ISICDM (2020)
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)
Junyan Lyu, Pujin Cheng, Xiaoying Tang
Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network. OMIA@MICCAI (2019)