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Tan Tran
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Improving accelerometry-based measurement of functional use of the upper extremity after stroke: machine learning versus counts threshold method
PS Lum, L Shu, EM Bochniewicz, T Tran, LC Chang, J Barth, ...
Neurorehabilitation and neural repair 34 (12), 1078-1087, 2020
472020
Three-dimensional shape reconstruction from single-shot speckle image using deep convolutional neural networks
H Nguyen, T Tran, Y Wang, Z Wang
Optics and Lasers in Engineering 143, 106639, 2021
452021
hNet: single-shot 3D shape reconstruction using structured light and h-shaped global guidance network
H Nguyen, KL Ly, T Tran, Y Wang, Z Wang
Results in optics 4, 100104, 2021
242021
Robust classification of functional and nonfunctional arm movement after stroke using a single wrist-worn sensor device
T Tran, LC Chang, I Almubark, EM Bochniewicz, L Shu, PS Lum, ...
2018 IEEE international conference on big data (big data), 5457-5459, 2018
152018
Spatiotemporal distribution and age of seizure onset in a pediatric epilepsy surgery cohort with cortical dysplasia
N Wiwattanadittakul, S Suwannachote, X You, NT Cohen, T Tran, ...
Epilepsy research 172, 106598, 2021
132021
Evolution of a System to Monitor Infant Neuromotor Development in the Home: Lessons from COVID-19
MM Schladen, HH Kuo, T Tran, A Ofonedu, H Hoang, R Jett, M Gu, K Liu, ...
Healthcare 11 (6), 784, 2023
22023
Functional Arm Movement Classification in Stroke Survivors Using Deep Learning with Accelerometry Data
T Tran, LC Chang, PS Lum
2023 IEEE International Conference on Big Data (BigData), 6292-6294, 2023
2023
Classification of Functional and Nonfunctional Hand Movement Using Deep Learning and First-Person View Video
T Tran, LC Chang, PS Lum
2023 Congress in Computer Science, Computer Engineering, & Applied Computing …, 2023
2023
Machine Learning Methods to Classify Functional and Nonfunctional Arm Movement After Stroke Using a Single Wrist-worn Sensor Device
TN Tran
Catholic University of America, 2019
2019
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