Zhenwei Zhang
Zhenwei Zhang
Baptist Health South Florida
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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
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
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
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
A generalized equation approach for hyoid bone displacement and penetration–aspiration scale analysis
Z Zhang, A Kurosu, JL Coyle, S Perera, E Sejdić
SN Applied Sciences 3 (7), 1-10, 2021
Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning
Z Zhang, S Mao, J Coyle, E Sejdić
Medical Image Analysis 74, 102218, 2021
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, 18-22, 2016
A Brief Overview of Adaptive Designs for Phase I Cancer Trials
A Saxena, M Rubens, V Ramamoorthy, Z Zhang, MA Ahmed, ...
Cancers 14 (6), 1566, 2022
Abstract P026: Comparison Of Mortality Among No Steroids, Methylprednisolone And Dexamethasone Groups In Intensive Care Covid-19 Patients: Preliminary Results From A Single …
M Canaan, MA Ahmed, Z Zhang, A Saxena, M Rubens, V Ramamoorthy, ...
Circulation 145 (Suppl_1), AP026-AP026, 2022
Ubiquitous computing
S Mao, Y Khalifa, Z Zhang, K Shu, A Suri, Z Bouzid, E Sejdic
Digital Health, 211-230, 2021
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
Impact of COVID-19 on Intracranial Meningioma Resection: Results from California State Inpatient Database
M Rubens, A Saxena, V Ramamoorthy, MA Ahmed, Z Zhang, ...
Cancers 14 (19), 4785, 2022
Hospital Outcomes Among COVID-19 Hospitalizations With Myocarditis from the California State Inpatient Database
M Rubens, V Ramamoorthy, A Saxena, JC Zevallos, JG Ruiz-Pelaez, ...
The American journal of cardiology, 2022
Hospital Outcomes among COVID-19 Hospitalizations with Acute Ischemic Stroke: Cross-Sectional Study Results from California State Inpatient Database
M Rubens, A Saxena, V Ramamoorthy, MA Ahmed, Z Zhang, ...
Brain sciences 12 (9), 1177, 2022
Prognostic Markers of Geriatric Patients in the Intensive Care Unit with Acute Hypoxic Respiratory Failure Secondary to COVID-19
K Reano, P Gaisinskaya, N Bhupatiraju, C Gebara, A Lavin, R Sayeed, ...
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