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Rui Ma
Rui Ma
Postdoctoral Associate, Bascom Palmer Eye Institute
Verified email at miami.edu
Title
Cited by
Cited by
Year
Recognition of atypical behavior in autism diagnosis from video using pose estimation over time
K Vyas, R Ma, B Rezaei, S Liu, M Neubauer, T Ploetz, R Oberleitner, ...
2019 IEEE 29th international workshop on machine learning for signal …, 2019
292019
Lightweight transfer nets and adversarial data augmentation for photovoltaic series arc fault detection with limited fault data
S Lu, R Ma, T Sirojan, BT Phung, D Zhang
International Journal of Electrical Power & Energy Systems 130, 107035, 2021
272021
Challenges in energy-efficient deep neural network training with FPGA
Y Tao, R Ma, ML Shyu, SC Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
262020
DC series arc fault detection using machine learning in photovoltaic systems: Recent developments and challenges
S Lu, A Sahoo, R Ma, BT Phung
2020 8th International Conference on Condition Monitoring and Diagnosis (CMD …, 2020
132020
Deep learning–based retinal nerve fiber layer thickness measurement of murine eyes
R Ma, Y Liu, Y Tao, KA Alawa, ML Shyu, RK Lee
Translational vision science & technology 10 (8), 21-21, 2021
52021
Reducing visual field test duration through deep reinforcement learning
R Ma, Y Tao, M Khodeiry, K Alawa, X Mendoza, X Liu, ML Shyu, RK Lee
Investigative Ophthalmology & Visual Science 64 (8), 5503-5503, 2023
22023
Deep reinforcement learning for optimized visual field analysis
Y Tao, M Khodeiry, R Ma, K Alawa, X Mendoza, X Liu, ML Shyu, RK Lee
Investigative Ophthalmology & Visual Science 62 (8), 1008-1008, 2021
22021
Multi-Source Weak Supervision Fusion for Disaster Scene Recognition in Videos
M Presa-Reyes, Y Tao, R Ma, SC Chen, ML Shyu
2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022
12022
Variance reduction for visual field testing algorithms through optimization of initial estimation
Y Tao, MM Khodeiry, R Ma, X Mendoza, X Liu, K Alawa, ML Shyu, RK Lee
Investigative Ophthalmology & Visual Science 63 (7), 1266–A0406-1266–A0406, 2022
12022
Synthetic retinal ganglion cell image generation for deep-learning-based neuronal tracing
R Ma, L Hao, Y Tao, X Mendoza, M Khodeiry, Y Liu, ML Shyu, RK Lee
Investigative Ophthalmology & Visual Science 62 (8), 2117-2117, 2021
12021
An Extensive-Form Game Paradigm for Visual Field Testing via Deep Reinforcement Learning
R Ma, Y Tao, MM Khodeiry, X Liu, X Mendoza, Y Liu, ML Shyu, RK Lee
IEEE Transactions on Biomedical Engineering, 2023
2023
Enhancing Noisy Binary Search Efficiency through Deep Reinforcement Learning
R Ma, Y Tao, MM Khodeiry, KA Alawa, ML Shyu, RK Lee
2023 IEEE 24th International Conference on Information Reuse and Integration …, 2023
2023
Automated Segmentation of Microvasculature in Ophthalmic Neovascular Diseases
J Sridhar, R Ma, L Hao, Y Tao, M Khodeiry, X Mendoza, Y Liu, C Dorizas, ...
Investigative Ophthalmology & Visual Science 64 (8), 2550-2550, 2023
2023
RGC-Net: An Automatic Reconstruction and Quantification Algorithm for Retinal Ganglion Cells Based on Deep Learning
R Ma, L Hao, Y Tao, X Mendoza, M Khodeiry, Y Liu, ML Shyu, RK Lee
Translational Vision Science & Technology 12 (5), 7-7, 2023
2023
Transfer learning for optical coherence tomography angiography image segmentation
R Ma, L Hao, Y Tao, X Mendoza, MM Khodeiry, Y Liu, ML Shyu, RK Lee
Investigative Ophthalmology & Visual Science 63 (7), 2063–F0052-2063–F0052, 2022
2022
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