Pujin Cheng

Orcid: 0009-0000-4844-5146

According to our database1, Pujin Cheng authored at least 41 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy Grading.
IEEE J. Biomed. Health Informatics, May, 2024

LDDMM-Face: Large deformation diffeomorphic metric learning for cross-annotation face alignment.
Pattern Recognit., 2024

FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification.
CoRR, 2024

FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification.
CoRR, 2024

FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation.
CoRR, 2024

JOINEDTrans: Prior guided multi-task transformer for joint optic disc/cup segmentation and fovea detection.
Comput. Biol. Medicine, 2024

CSSD: Cross-Supervision and Self-denoising for Hybrid-Supervised Hepatic Vessel Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Saliency-Guided and Patch-Based Mixup for Long-Tailed Skin Cancer Image Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Text-Guided Foundation Model Adaptation for Long-Tailed Medical Image Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Unveiling the Power of High-Quality OCT: An Effective Fundus-based Modality Fusion Network for Fovea Localization.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

ASLSEG: Adapting Sam in the Loop for Semi-Supervised Liver Tumor Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation.
Medical Image Anal., December, 2023

Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior.
CoRR, 2023

JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection.
CoRR, 2023

Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement.
CoRR, 2023

MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Prior Guided 3D Medical Image Landmark Localization.
Proceedings of the Medical Imaging with Deep Learning, 2023

Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

PRIOR: Prototype Representation Joint Learning from Medical Images and Reports.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation.
IEEE Trans. Medical Imaging, 2022

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network.
CoRR, 2022

Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion.
CoRR, 2022

Student Become Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation.
CoRR, 2022

Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

DS<sup>3</sup>-Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Transformer-Based T2-weighted MRI Synthesis from T1-weighted Images.
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.
CoRR, 2021

LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment.
CoRR, 2021

FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Automated Segmentation Of Corneal Nerves In Confocal Microscopy Via Contrastive Learning Based Synthesis And Quality Enhancement.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images.
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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Probability distribution guided optic disc and cup segmentation from fundus images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019


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