Decades of experience in imaging science (selected publications)

CVIT scientists regularly publish findings and frequently present at scientific conferences.

Simulated Liver Lesion
Simulated Liver Lesion

Featured Publications

  • Fu W, Sharma S, Abadi E, Iliopoulos AS, Wang Q, Lo JY, Sun X, Segars WP, Samei E.
    iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry.
    IEEE J Biomed Health Inform. .2021;25(8):3061-72. Epub 2021/03/03. [Foundation]

  • Draelos RL, Dov D, Mazurowski MA, Lo JY, Henao R, Rubin GD, Carin L.
    Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.
    Med Image Anal. .2021;67:101857. Epub 2020/11/01. PMC7726032. [Foundation]

  • Abadi E, Paul Segars W, Chalian H, Samei E.
    Virtual Imaging Trials for Coronavirus Disease (COVID-19).
    AJR Am J Roentgenol. .2021;216(2):362-8. Epub 2020/08/22. PMC8080437. [Foundation]

  • Abadi E, Segars WP, Tsui BMW, Kinahan PE, Bottenus N, Frangi AF, Maidment A, Lo J, Samei E.
    Virtual clinical trials in medical imaging: a review.
    J Med Imaging (Bellingham). .2020;7(4):042805. Epub 2020/04/22. PMC7148435. [Foundation]

Recent Publications

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  • Buda M, Saha A, Walsh R, Ghate S, Li N, Swiecicki A, Lo JY, Mazurowski MA.
    A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images.
    JAMA Netw Open. .2021;4(8):e2119100. Epub 2021/08/17. [Foundation]

  • Modanwal G, Vellal A, Mazurowski MA.
    Normalization of breast MRIs using cycle-consistent generative adversarial networks.
    Comput Methods Programs Biomed. .2021;208:106225. Epub 2021/07/02. [Foundation]

  • Hoye J, Smith T, Abadi E, Solomon JB, Samei E.
    Correction for Systematic Bias in Radiomics Measurements Due to Variation in Imaging Protocols.
    Acad Radiol. .2021. Epub 2021/06/17. [Foundation]

  • Swiecicki A, Konz N, Buda M, Mazurowski MA.
    A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis.
    Sci Rep. .2021;11(1):10276. Epub 2021/05/15. PMC8119417. [Foundation]

  • Sharma S, Abadi E, Kapadia A, Segars WP, Samei E.
    A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials.
    Phys Med Biol. .2021;66(7). Epub 2021/03/03. PMC8381286. [Foundation]

  • Fricks R, Abadi E, Ria F, Samei E.
    Classification of COVID-19 in chest radiographs: assessing the impact of imaging parameters using clinical and simulated images.
    SPIE Medical Imaging. .2021;11597. [Foundation]

  • Jadick G, Abadi E, Harrawood B, Sharma S, Segars WP, Samei E.
    A framework to simulate CT images with tube current modulation.
    SPIE Medical Imaging. .2021;11595. [Foundation]

  • Zarei M, Abadi E, Fricks R, Segars WP, Samei E.
    A probabilistic conditional adversarial neural network to reduce imaging variation in radiography.
    SPIE Medical Imaging. .2021;11595. [Foundation]

  • Zarei M, Abadi E, Segars WP, Richards T, Samei E.
    Multi-factorial optimization of imaging parameters for quantifying coronary stenosis in cardiac CT.
    SPIE Medical Imaging. .2021;11595. [Foundation]

  • Sauer T, Abadi E, Segars WP, Samei E.
    Optimization of CT angiography using physiologically-informed computational plaques, dynamic XCAT phantoms, and physics-based CT simulation.
    SPIE Medical Imaging. .2021;11595. [Foundation]

  • Sugiura T, Tanaka R, Segars WP, Abadi E, Samei E.
    Correlation of respiratory changes in lung density on dynamic chest radiographs with changes in the CT value: a computational phantom study.
    SPIE Medical Imaging. .2021;11595. [Foundation]

  • Abadi E, Jadick G, Hoffman E, Lynch D, Segars WP, Samei E.
    COPD quantifications via CT imaging: ascertaining the effects of acquisition protocol using virtual imaging trial.
    SPIE Medical Imaging. .2021;11595. [Foundation]