Carol Y. Cheung

Orcid: 0000-0002-9672-1819

According to our database1, Carol Y. Cheung authored at least 19 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A test-time clinically adaptive framework for detecting multiple fundus diseases harnessing ophthalmic foundation models.
npj Digit. Medicine, 2026

2025
Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics.
CoRR, September, 2025

Reference-Based OCT Angiogram Super-Resolution With Learnable Texture Generation.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN.
IEEE J. Biomed. Health Informatics, April, 2025

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

A graph neural network-based multispectral-view learning model for diabetic macular ischemia detection from color fundus photographs.
CoRR, February, 2025

HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images.
Vis. Comput., January, 2025

Understanding the robustness of vision-language models to medical image artefacts.
npj Digit. Medicine, 2025

Matters arising: Utilizing foundation models for developing clinical tools.
npj Digit. Medicine, 2025

2024
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children.
npj Digit. Medicine, 2024

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

2023
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
Medical Image Anal., 2023

Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation.
CoRR, 2023

LVCL: Label-Volume Contrastive Learning for Multi-Label Classification of Retinal Oct Volumes.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.
IEEE J. Biomed. Health Informatics, 2020

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning.
Medical Image Anal., 2020

2019
Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans.
CoRR, 2019

Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019


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