Ching Yu Cheng

Orcid: 0000-0003-0655-885X

According to our database1, Ching Yu Cheng authored at least 37 papers between 2012 and 2024.

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Bibliography

2024
Col-Con: A Virtual Reality Simulation Testbed for Exploring Collaborative Behaviors in Construction.
CoRR, 2024

Safety challenges of AI in medicine.
CoRR, 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

MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification.
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

Category-Independent Visual Explanation for Medical Deep Network Understanding.
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

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks.
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

Optic disk localization by a robust fusion method.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Self-assessment for optic disc segmentation.
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

Sector-based optic cup segmentation with intensity and blood vessel priors.
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

Automatic localization of retinal landmarks.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Automatic Grading of Cortical and PSC Cataracts Using Retroillumination Lens Images.
Proceedings of the Computer Vision, 2012

Superpixel Classification Based Optic Disc Segmentation.
Proceedings of the Computer Vision, 2012


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