Ching Yu Cheng
Orcid: 0000-0003-0655-885X
According to our database1,
Ching Yu Cheng
authored at least 36 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning.
CoRR, 2024
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR, 2024
Improve Robustness of Eye Disease Detection by including Learnable Probabilistic Discrete Latent Variables into Machine Learning Models.
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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
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
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.
J. Am. Medical Informatics Assoc., November, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Reality matters? exploring a tangible user interface for augmented-reality-based fire education.
Univers. Access Inf. Soc., 2022
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.
npj Digit. Medicine, 2022
Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging.
Frontiers Digit. Health, 2022
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022
2021
The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker.
CoRR, 2021
2020
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.
npj Digit. Medicine, 2020
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence.
CoRR, 2020
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning.
CoRR, 2020
2019
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study.
npj Digit. Medicine, 2019
Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images.
CoRR, 2019
VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies.
Bioinform., 2019
2018
Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018
2013
Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening.
IEEE Trans. Medical Imaging, 2013
Automatic Grading of Nuclear Cataracts from Slit-Lamp Lens Images Using Group Sparsity Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Efficient optic cup localization using regional propagation based on retinal structure priors.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Automatic detection of the macula in retinal fundus images using seeded mode tracking approach.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Automatic pterygium detection on cornea images to enhance computer-aided cortical cataract grading system.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Computer Vision, 2012
Proceedings of the Computer Vision, 2012