Dr. Francesco Ria
Assistant Professor of Radiology at Duke Univ Health System
SPIE Involvement:
Profile Summary

Francesco Ria, DMP is a Senior Research Associate at Carl E. Ravin Advanced Imaging Laboratories and Clinical Imaging Physics Group at Duke University. He received his medical physics doctorate from the University of Milan (Italy) in 2014. His interests include in vivo quantitative analysis of radiation burden and image quality in radiology to simultaneously assess risk and clinical benefit in real patient populations.
Publications (7)

Proceedings Article | 2 April 2024 Presentation + Paper
Proceedings Volume 12925, 1292504 (2024) https://doi.org/10.1117/12.3006532
KEYWORDS: Image quality, Computed tomography, Modulation frequency, Mercury, Scanners, Imaging systems, Photon counting, Modulation transfer functions, In vivo imaging, Body scanners

Proceedings Article | 4 April 2022 Poster + Presentation + Paper
Proceedings Volume 12031, 120312V (2022) https://doi.org/10.1117/12.2612219
KEYWORDS: Image quality, Tissues, Reconstruction algorithms, Chest, Computed tomography, Imaging systems, Scanners, X-ray computed tomography, Diagnostics, Monte Carlo methods

SPIE Journal Paper | 1 December 2021 Open Access
JMI, Vol. 8, Issue 06, 064501, (December 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.6.064501
KEYWORDS: Chest imaging, Radiography, Performance modeling, Databases, Lung, Image classification, Data modeling, COVID 19, Education and training, Deep learning

Proceedings Article | 15 February 2021 Presentation + Paper
Proceedings Volume 11597, 115970A (2021) https://doi.org/10.1117/12.2582223
KEYWORDS: Image classification, Chest imaging, Machine learning, Imaging systems, Computer simulations, X-rays, X-ray imaging, Visualization, Receivers, Radiography

Proceedings Article | 15 February 2021 Poster + Presentation + Paper
Proceedings Volume 11595, 115952P (2021) https://doi.org/10.1117/12.2580954
KEYWORDS: In vivo imaging, Computed tomography, Tissues, Computer simulations, Infrared imaging, Virtual reality, Reconstruction algorithms, Lung, Image quality, Image analysis

Showing 5 of 7 publications
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