Zhenwei Zhang
Zhenwei Zhang
Verified email at pitt.edu
Cited by
Cited by
Radiological images and machine learning: trends, perspectives, and prospects
Z Zhang, E Sejdić
Computers in biology and medicine 108, 354-370, 2019
Automatic hyoid bone detection in fluoroscopic images using deep learning
Z Zhang, JL Coyle, E Sejdić
Scientific reports 8 (1), 1-9, 2018
High-resolution cervical auscultation signal features reflect vertical and horizontal displacements of the hyoid bone during swallowing
C Rebrion, Z Zhang, Y Khalifa, M Ramadan, A Kurosu, JL Coyle, S Perera, ...
IEEE journal of translational engineering in health and medicine 7, 1-9, 2018
Neck sensor-supported hyoid bone movement tracking during swallowing
S Mao, Z Zhang, Y Khalifa, C Donohue, JL Coyle, E Sejdic
Royal Society open science 6 (7), 181982, 2019
The association of high resolution cervical auscultation signal features with hyoid bone displacement during swallowing
Q He, S Perera, Y Khalifa, Z Zhang, AS Mahoney, A Sabry, C Donohue, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (9 …, 2019
Machine-learning identification of the sensing descriptors relevant in molecular interactions with metal nanoparticle-decorated nanotube field-effect transistors
L Bian, DC Sorescu, L Chen, DL White, SC Burkert, Y Khalifa, Z Zhang, ...
ACS applied materials & interfaces 11 (1), 1219-1227, 2018
The prediction of risk of penetration–aspiration via hyoid bone displacement features
Z Zhang, S Perera, C Donohue, A Kurosu, AS Mahoney, JL Coyle, ...
Dysphagia 35 (1), 66-72, 2020
Sparse recovery of time-frequency representations via recurrent neural networks
Y Khalifa, Z Zhang, E Sejdić
2017 22nd International Conference on Digital Signal Processing (DSP), 1-5, 2017
Most suitable mother wavelet for the analysis of fractal properties of stride interval time series via the average wavelet coefficient method
Z Zhang, J VanSwearingen, JS Brach, S Perera, E Sejdić
Computers in biology and medicine 80, 175-184, 2017
The effects of compressive sensing on extracted features from tri-axial swallowing accelerometry signals
E Sejdić, F Movahedi, Z Zhang, A Kurosu, JL Coyle
Compressive Sensing V: From Diverse Modalities to Big Data Analytics 9857 …, 2016
Deep Learning-Based Auto-Segmentation and Evaluation of Vallecular Residue in Videofluoroscopy
Z Zhang, E Lucatorto, J Coyles, E Sejdic
Available at SSRN 3831854, 0
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