Ching Yu Cheng

According to our database, Ching Yu Cheng authored at least 29 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improve Robustness of Eye Disease Detection by including Learnable Probabilistic Discrete Latent Variables into Machine Learning Models.

Anirudh Prabhakaran, YeKun Xiao, Ching-Yu Cheng, Dianbo Liu

CoRR, 2024

RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction.

Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu

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.

Chan Joo Lee, Tyler Hyungtaek Rim, Hyun Goo Kang, Joseph Keunhong Yi, Geunyoung Lee, Marco Yu, Soo-Hyun Park, Jin-Taek Hwang, Yih Chung Tham, Tien Yin Wong, Ching-Yu Cheng, Dong Wook Kim, Sung Soo Kim, Sungha Park

J. Am. Medical Informatics Assoc., December, 2023

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

Bjorn Kaijun Betzler, Evelyn Chee, Feng He, Cynthia Ciwei Lim, Jinyi Ho, Haslina Hamzah, Ngiap Chuan Tan, Gerald Liew, Gareth J. McKay, Ruth E. Hogg, Ian S. Young, Ching-Yu Cheng, Su Chi Lim, Aaron Y. Lee, Tien Yin Wong, Mong-Li Lee, Wynne Hsu, Gavin Siew Wei Tan, Charumathi Sabanayagam

J. Am. Medical Informatics Assoc., November, 2023

Category-Independent Visual Explanation for Medical Deep Network Understanding.

Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu

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.

Hsiu-Mei Huang, Tien-Chi Huang, Ching-Yu Cheng

Univers. Access Inf. Soc., 2022

Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.

Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-Yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting

npj Digit. Medicine, 2022

Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging.

Bjorn Kaijun Betzler, Tyler Hyungtaek Rim, Charumathi Sabanayagam, Ching-Yu Cheng

Frontiers Digit. Health, 2022

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

Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng

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.

Satish Kumar Panda, Haris Cheong, Tin Aung Tun, Thanadet Chuangsuwanich, Aiste Kadziauskiene, Vijayalakshmi Senthil, Ramaswami Krishnadas, Martin L. Buist, Shamira A. Perera, Ching Yu Cheng, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2021

2020

Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.

Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-Yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting

npj Digit. Medicine, 2020

Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence.

Satish Kumar Panda, Haris Cheong, Tin Aung Tun, Sripad Krishna Devella, Ramaswami Krishnadas, Martin L. Buist, Shamira A. Perera, Ching Yu Cheng, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2020

Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning.

Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda, Zhang Liang, Giridhar Subramanian, Anirudh Swaminathan, Chin Zhi Yun, Mohan Rajan, Sujatha Mohan, Ramaswami Krishnadas, Vijayalakshmi Senthil, John Mark S. de Leon, Tin Aung Tun, Ching Yu Cheng, Leopold Schmetterer, Shamira A. Perera, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2020

2019

Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study.

Daniel S. W. Ting, Carol Yim-lui Cheung, Quang Duc Nguyen, Charumathi Sabanayagam, Gilbert Lim, Zhan Wei Lim, Gavin Siew Wei Tan, Yu Qiang Soh, Leopold Schmetterer, Ya Xing Wang, Jost B. Jonas, Rohit Varma, Mong-Li Lee, Wynne Hsu, Ecosse Lamoureux, Ching-Yu Cheng, Tien Yin Wong

npj Digit. Medicine, 2019

Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images.

Tan Hung Pham, Sripad Krishna Devalla, Aloysius Ang, Soh Zhi Da, Alexandre H. Thiéry, Craig Boote, Ching Yu Cheng, Victor Koh, Michael J. A. Girard

CoRR, 2019

VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies.

Xingjie Shi, Yuling Jiao, Yi Yang, Ching-Yu Cheng, Can Yang, Xinyi Lin, Jin Liu

Bioinform., 2019

2018

Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs.

Valentina Bellemo, Michelle Yuen Ting Yip, Yuchen Xie, Xin Qi Lee, Quang Duc Nguyen, Haslina Hamzah, Jinyi Ho, Gilbert Lim, Dejiang Xu, Mong-Li Lee, Wynne Hsu, Renata Garcia-Franco, Geeta Menon, Ecosse Lamoureux, Ching Yu Cheng, Tien Yin Wong, Daniel Shu Wei Ting

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2013

Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening.

Jun Cheng, Jiang Liu, Yanwu Xu, Fengshou Yin, Damon Wing Kee Wong, Ngan Meng Tan, Dacheng Tao, Ching Yu Cheng, Tin Aung, Tien Yin Wong

IEEE Trans. Medical Imaging, 2013

Automatic Grading of Nuclear Cataracts from Slit-Lamp Lens Images Using Group Sparsity Regression.

Yanwu Xu, Xinting Gao, Stephen Lin, Damon Wing Kee Wong, Jiang Liu, Dong Xu, Ching Yu Cheng, Carol Yim-lui Cheung, Tien Yin Wong

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Optic disk localization by a robust fusion method.

Jielin Zhang, Fengshou Yin, Damon Wing Kee Wong, Jiang Liu, Mani Baskaran, Ching Yu Cheng, Tien Yin Wong

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Self-assessment for optic disc segmentation.

Jun Cheng, Jiang Liu, Fengshou Yin, Beng Hai Lee, Damon Wing Kee Wong, Tin Aung, Ching Yu Cheng, Tien Yin Wong

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.

Yanwu Xu, Jiang Liu, Jun Cheng, Fengshou Yin, Ngan Meng Tan, Damon Wing Kee Wong, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong

Proceedings of the 21st International Conference on Pattern Recognition, 2012

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

Fengshou Yin, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Jun Cheng, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong

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.

Yanwu Xu, Jiang Liu, Jun Cheng, Fengshou Yin, Ngan Meng Tan, Damon Wing Kee Wong, Mani Baskaran, Ching Yu Cheng, Tien Yin Wong

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.

Damon Wing Kee Wong, Jiang Liu, Ngan Meng Tan, Fengshou Yin, Xiangang Cheng, Ching Yu Cheng, Chui Ming Gemmy Cheung, Tien Yin Wong

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.

Xinting Gao, Damon Wing Kee Wong, Aloysius Wishnu Aryaputera, Ying Sun, Ching Yu Cheng, Carol Yim-lui Cheung, Tien Yin Wong

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Automatic localization of retinal landmarks.

Xiangang Cheng, Damon Wing Kee Wong, Jiang Liu, Beng Hai Lee, Ngan Meng Tan, Jielin Zhang, Ching Yu Cheng, Chui Ming Gemmy Cheung, Tien Yin Wong

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.

Xinting Gao, Damon Wing Kee Wong, Tian-Tsong Ng, Carol Yim-lui Cheung, Ching Yu Cheng, Tien Yin Wong

Proceedings of the Computer Vision, 2012

Superpixel Classification Based Optic Disc Segmentation.

Jun Cheng, Jiang Liu, Yanwu Xu, Fengshou Yin, Damon Wing Kee Wong, Ngan Meng Tan, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong

Proceedings of the Computer Vision, 2012