Yih Chung Tham
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2026
EH-Benchmark: Ophthalmic hallucination benchmark and agent-driven top-down traceable reasoning workflow.
Inf. Fusion, 2026
2025
FusionFM: Fusing Eye-specific Foundational Models for Optimized Ophthalmic Diagnosis.
CoRR, August, 2025
CoRR, August, 2025
BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning.
CoRR, July, 2025
An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care.
CoRR, May, 2025
IEEE Trans. Circuits Syst. Video Technol., April, 2025
A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers.
CoRR, April, 2025
Benchmarking Next-Generation Reasoning-Focused Large Language Models in Ophthalmology: A Head-to-Head Evaluation on 5,888 Items.
CoRR, April, 2025
Assistance of Artificial Intelligence in Diagnosis of Vitreoretinal Lymphoma on Optical Coherence Tomography.
Adv. Intell. Syst., April, 2025
Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases?
CoRR, February, 2025
HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images.
Vis. Comput., January, 2025
Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study.
CoRR, January, 2025
Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection?
CoRR, January, 2025
Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation.
npj Digit. Medicine, 2025
npj Digit. Medicine, 2025
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
2024
AI-enhanced digital technologies for myopia management: advancements, challenges, and future prospects.
Vis. Comput., June, 2024
Harnessing the potential of large language models in medical education: promise and pitfalls.
J. Am. Medical Informatics Assoc., February, 2024
Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model.
CoRR, 2024
Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting.
CoRR, 2024
Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning.
CoRR, 2024
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology.
CoRR, 2024
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR, 2024
CoRR, 2024
Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust.
Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024
A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI.
J. Am. Medical Informatics Assoc., December, 2023
VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022
2021
Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies.
npj Digit. Medicine, 2021
2013
Research and applications: Automatic glaucoma diagnosis through medical imaging informatics.
J. Am. Medical Informatics Assoc., 2013
2012
Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Detecting the optic cup excavation in retinal fundus images by automatic detection of vessel kinking.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Computer Vision, 2012