Li Lin
Orcid: 0000-0002-9789-0825Affiliations:
- Sun Yat-sen University, School of Electronics and Information Technology, Guangzhou, China
- Southern University of Science and Technology, Department of Electrical and Electronic Engineering, Shenzhen, China
According to our database1,
Li Lin
authored at least 35 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation.
CoRR, 2024
2023
Medical Image Anal., December, 2023
YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation.
Medical Image Anal., December, 2023
CoRR, 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
Unifying and Personalizing Weakly-Supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 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
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
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 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
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification.
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
Corolla: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
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
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
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Multi-task Learning Based Ocular Disease Discrimination and FAZ Segmentation Utilizing OCTA Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Generative Adversarial Training with Dual-Attention for Vascular Segmentation and Topological Analysis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
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