Deep learning classification of COVID-19 in chest radiographs: performance and influence of supplemental training
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https://hdl.handle.net/10161/24036Published Version (Please cite this version)
10.1117/1.jmi.8.6.064501Publication Info
Fricks, Rafael B; Ria, Francesco; Chalian, Hamid; Khoshpouri, Pegah; Abadi, Ehsan;
Bianchi, Lorenzo; ... Samei, Ehsan (2021). Deep learning classification of COVID-19 in chest radiographs: performance and influence
of supplemental training. Journal of Medical Imaging, 8(06). 10.1117/1.jmi.8.6.064501. Retrieved from https://hdl.handle.net/10161/24036.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Ehsan Abadi
Assistant Professor in Radiology
Ehsan Abadi, PhD is an imaging scientist at Duke University. He serves as an Assistant
Professor in the departments of Radiology and Electrical & Computer Engineering, a
faculty member in the Medical Physics Graduate Program and Carl E. Ravin Advanced
Imaging Laboratories, and a co-Lead in the Center for Virtual Imaging Trials. Ehsan’s
research focuses on quantitative imaging and optimization, CT imaging, lung diseases,
computational human modeling, and medical imag
Francesco Ria
Assistant Professor in the Department of Radiology
Dr. Francesco Ria is a medical physicist and he serves as an Assistant Professor in
the Department of Radiology. Francesco has an extensive expertise in the assessment
of procedure performances in radiology. In particular, his research activities focus
on the simultaneous evaluation of radiation dose and image quality in vivo in computed
tomography providing a comprehensive evaluation of radiological exams. Moreover, Francesco
is developing and investigating novel mathematical models t
Ehsan Samei
Reed and Martha Rice Distinguished Professor of Radiology
Dr. Ehsan Samei, PhD, DABR, FAAPM, FSPIE, FAIMBE, FIOMP, FACR is a Persian-American
medical physicist. He is a tenured Professor of Radiology, Medical Physics, Biomedical
Engineering, Physics, and Electrical and Computer Engineering at Duke University,
where he also serves as the Chief Imaging Physicist for Duke University Health System,
the director of the Carl E Ravin Advanced Imaging Laboratories, and the director of
Center for Virtual Imaging Trials. He is certi
William Paul Segars
Associate Professor in Radiology
Our current research involves the use of computer-generated phantoms and simulation
techniques to investigate and optimize medical imaging systems and methods. Medical
imaging simulation involves virtual experiments carried out entirely on the computer
using computational models for the patients as well as the imaging devices. Simulation
is a powerful tool for characterizing, evaluating, and optimizing medical imaging
systems. A vital aspect of simulation is to have realistic models of the subje
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