Tian Lin

Orcid: 0000-0002-6415-5381

Affiliations:
  • Shantou University, Shantou, Guangdong, China


According to our database1, Tian Lin authored at least 18 papers between 2022 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
FusionFM: Fusing Eye-specific Foundational Models for Optimized Ophthalmic Diagnosis.
CoRR, August, 2025

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers.
CoRR, April, 2025

Assistance of Artificial Intelligence in Diagnosis of Vitreoretinal Lymphoma on Optical Coherence Tomography.
Adv. Intell. Syst., April, 2025

Efficiency and safety of automated label cleaning on multimodal retinal images.
npj Digit. Medicine, 2025

A deep learning based automatic report generator for retinal optical coherence tomography images.
npj Digit. Medicine, 2025

Uncertainty-Aware Multimodal Fusion for Reliable Fundus Disease Classification Using a Vision-Language Foundation Model.
Proceedings of the Ophthalmic Medical Image Analysis - 12th International Workshop, 2025

F<sup>2</sup>UE-NET: An Uncertainty-Driven Dynamic Expert Network for Long-Tail Retinal Disease Classification.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Dual-Spatial Domain Generalization for Fundus Lesion Segmentation in Unseen Manufacturer's OCT Images.
IEEE Trans. Biomed. Eng., September, 2024

Searching Discriminative Regions for Convolutional Neural Networks in Fundus Image Classification With Genetic Algorithms.
IEEE Trans. Image Process., 2024

Confidence-aware multi-modality learning for eye disease screening.
Medical Image Anal., 2024

Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images.
CoRR, 2024

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR, 2024

Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt.
Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024

2023
Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images.
IEEE Trans. Biomed. Eng., July, 2023

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification.
CoRR, 2023

Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Multi-view-based automatic method for multiple diseases screening in retinal OCT images.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Retinal OCT image report generation based on visual and semantic topic attention model.
Proceedings of the Medical Imaging 2022: Image Processing, 2022


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