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Ching Yu Cheng
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2020 – today
- 2024
- [c19]Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu:
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. AAAI 2024: 22401-22409 - [c18]Xiaofeng Lei, Yih Chung Tham, Jocelyn Hui Lin Goh, Yangqin Feng, Yang Bai, Zhi Da Soh, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Ching-Yu Cheng:
Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust. OMIA@MICCAI 2024: 146-156 - [c17]Meng Wang, Tian Lin, Ting Xu, Ke Zou, Haoyu Chen, Huazhu Fu, Ching-Yu Cheng:
Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt. OMIA@MICCAI 2024: 157-166 - [c16]Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen:
MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification. MICCAI (3) 2024: 262-272 - [c15]Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu:
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling. MICCAI (12) 2024: 753-762 - [i13]Anirudh Prabhakaran, YeKun Xiao, Ching-Yu Cheng, Dianbo Liu:
Improve Robustness of Eye Disease Detection by including Learnable Probabilistic Discrete Latent Variables into Machine Learning Models. CoRR abs/2402.16865 (2024) - [i12]Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu:
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. CoRR abs/2403.05112 (2024) - [i11]Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu:
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. CoRR abs/2406.09317 (2024) - [i10]Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu:
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling. CoRR abs/2408.05618 (2024) - [i9]Qingyu Chen, Tiarnan D. L. Keenan, Elvira Agrón, Alexis Allot, Emily Guan, Bryant Duong, Amr S. Elsawy, Benjamin Hou, Cancan Xue, Sanjeeb Bhandari, Geoff Broadhead, Chantal Cousineau-Krieger, Ellen Davis, William G. Gensheimer, David Grasic, Seema Gupta, Luis Haddock, Eleni Konstantinou, Tania Lamba, Michele Maiberger, Dimosthenis Mantopoulos, Mitul C. Mehta, Ayman G. Nahri, Mutaz AL-Nawaflh, Arnold Oshinsky, Brittany E. Powell, Boonkit Purt, Soo Shin, Hillary Stiefel, Alisa T. Thavikulwat, Keith Wroblewski, Tham Yih Chung, Chui Ming Gemmy Cheung, Ching-Yu Cheng, Emily Y. Chew, Michelle R. Hribar, Michael F. Chiang, Zhiyong Lu:
Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning. CoRR abs/2409.15087 (2024) - [i8]Xiaoye Wang, Nicole Xi Zhang, Hongyu He, Trang Nguyen, Kun-Hsing Yu, Hao Deng, Cynthia Brandt, Danielle S. Bitterman, Ling Pan, Ching-Yu Cheng, James Zou, Dianbo Liu:
Safety challenges of AI in medicine. CoRR abs/2409.18968 (2024) - [i7]Xiaofeng Lei, Yih Chung Tham, Jocelyn Hui Lin Goh, Yangqin Feng, Yang Bai, Zhi Da Soh, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Ching-Yu Cheng:
Enhancing Community Vision Screening - AI Driven Retinal Photography for Early Disease Detection and Patient Trust. CoRR abs/2410.20309 (2024) - [i6]Liuchuan Yu, Ching-Yu Cheng, William F. Ranc, Joshua Dow, Michael Szilagyi, Haikun Huang, Sungsoo Ray Hong, Behzad Esmaeili, Lap-Fai Yu:
Col-Con: A Virtual Reality Simulation Testbed for Exploring Collaborative Behaviors in Construction. CoRR abs/2410.23627 (2024) - 2023
- [j9]Bjorn Kaijun Betzler
, Evelyn Chee, Feng He
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes. J. Am. Medical Informatics Assoc. 30(12): 1904-1914 (2023) - [j8]Chan Joo Lee
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. 31(1): 130-138 (2023) - [c14]Yiming Qian, Liangzhi Li, Huazhu Fu
Category-Independent Visual Explanation for Medical Deep Network Understanding. MICCAI (2) 2023: 181-191 - 2022
- [j7]Bjorn Kaijun Betzler, Tyler Hyungtaek Rim, Charumathi Sabanayagam, Ching-Yu Cheng:
Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging. Frontiers Digit. Health 4: 889445 (2022) - [j6]Fei Li
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection. npj Digit. Medicine 5 (2022) - [j5]Hsiu-Mei Huang, Tien-Chi Huang
Reality matters? exploring a tangible user interface for augmented-reality-based fire education. Univers. Access Inf. Soc. 21(4): 927-939 (2022) - [c13]Xiaofeng Lei
Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. OMIA@MICCAI 2022: 94-104 - [i5]Xiaofeng Lei
Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks. CoRR abs/2210.02445 (2022) - 2021
- [i4]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:
The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker. CoRR abs/2111.03997 (2021) - 2020
- [j4]Fei Li
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection. npj Digit. Medicine 3 (2020) - [i3]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:
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning. CoRR abs/2002.09635 (2020) - [i2]Satish Kumar Panda
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence. CoRR abs/2012.09755 (2020)
2010 – 2019
- 2019
- [j3]Xingjie Shi, Yuling Jiao, Yi Yang, Ching-Yu Cheng, Can Yang
VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies. Bioinform. 35(19): 3693-3700 (2019) - [j2]Daniel S. W. Ting, Carol Yim-lui Cheung, Quang Duc Nguyen, Charumathi Sabanayagam
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study. npj Digit. Medicine 2 (2019) - [i1]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:
Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images. CoRR abs/1909.00331 (2019) - 2018
- [c12]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
Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs. ACCV Workshops 2018: 309-315 - 2013
- [j1]Jun Cheng
Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening. IEEE Trans. Medical Imaging 32(6): 1019-1032 (2013) - [c11]Jun Cheng
Self-assessment for optic disc segmentation. EMBC 2013: 5861-5864 - [c10]Jielin Zhang, Fengshou Yin, Damon Wing Kee Wong
Optic disk localization by a robust fusion method. Computer-Aided Diagnosis 2013: 86702G - [c9]Yanwu Xu
Automatic Grading of Nuclear Cataracts from Slit-Lamp Lens Images Using Group Sparsity Regression. MICCAI (2) 2013: 468-475 - 2012
- [c8]Xinting Gao, Damon Wing Kee Wong
Automatic Grading of Cortical and PSC Cataracts Using Retroillumination Lens Images. ACCV (2) 2012: 256-267 - [c7]Jun Cheng
Superpixel Classification Based Optic Disc Segmentation. ACCV (2) 2012: 293-304 - [c6]Yanwu Xu
Efficient optic cup localization using regional propagation based on retinal structure priors. EMBC 2012: 1430-1433 - [c5]Fengshou Yin, Jiang Liu
Sector-based optic cup segmentation with intensity and blood vessel priors. EMBC 2012: 1454-1457 - [c4]Xinting Gao, Damon Wing Kee Wong
Automatic pterygium detection on cornea images to enhance computer-aided cortical cataract grading system. EMBC 2012: 4434-4437 - [c3]Damon Wing Kee Wong
Automatic detection of the macula in retinal fundus images using seeded mode tracking approach. EMBC 2012: 4950-4953 - [c2]Xiangang Cheng, Damon Wing Kee Wong
Automatic localization of retinal landmarks. EMBC 2012: 4954-4957 - [c1]Yanwu Xu, Jiang Liu, Jun Cheng, Fengshou Yin, Ngan Meng Tan, Damon Wing Kee Wong, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong:
Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images. ICPR 2012: 49-52
Coauthor Index
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