Michael F. Wilson

Initial evaluation of a convolutional neural network used for non-invasive assessment of coronary artery disease severity from coronary computed tomography angiography data.

Kelsey N. Sommer, F. Rybicki, D. Mitsouras, 2020, Medical physics.

Inter- and Intraoperator Variability in Measurement of On-Site CT-derived Fractional Flow Reserve Based on Structural and Fluid Analysis: A Comprehensive Analysis.

Kelsey N. Sommer, F. Rybicki, K. Kumamaru, 2019, Radiology. Cardiothoracic imaging.

Nuclear Cardiology Imaging

D. Kireyev, Michael F. Wilson, 2016 .

The use of cardiac‐CT alone to exclude left atrial thrombus before atrial fibrillation ablation: Efficiency, safety, and cost analysis

U. Sharma, T. Shah, Hiroko Beck, 2018, Pacing and clinical electrophysiology : PACE.

Patient-specific 3D-printed coronary models based on coronary computed tomography angiography volumes to investigate flow conditions in coronary artery disease

Lauren M. Shepard, Kelsey N. Sommer, F. Rybicki, 2020, Biomedical physics & engineering express.

Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation

Lauren M. Shepard, Dimitrios Mitsouras, Ciprian N Ionita, 2019, Journal of medical imaging.

CT investigation of patient-specific phantoms with coronary artery disease

Ciprian N. Ionita, Lauren M. Shepard, Dimitrios Mitsouras, 2018, Medical Imaging.

Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patients

Alexander R. Podgorsak, Ciprian N. Ionita, Dimitrios Mitsouras, 2020, Medical Imaging.