Carol Y. Cheung

Orcid: 0000-0002-9672-1819

According to our database1, Carol Y. Cheung authored at least 15 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

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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