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]

  • Sharma S, Kapadia A, Ria F, Segars WP, Samei E.
    Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols.
    Medical Physics. 2022;49(8):5439-50.

  • Sharma S, Kapadia A, Brown J, Segars WP, Bolch W, Samei E.
    A GPU-accelerated framework for individualized estimation of organ doses in digital tomosynthesis.
    Medical Physics. 2022;49(2):891-900.

  • Shankar SS, Felice N, Hoffman EA, Atha J, Sieren JC, Samei E, Abadi E.
    Task-based validation and application of a scanner-specific CT simulator using an anthropomorphic phantom.
    Medical Physics. 2022;n/a(n/a).

  • Setiawan H, Chen C, Abadi E, Fu W, Marin D, Ria F, Samei E.
    A patient-informed approach to predict iodinated-contrast media enhancement in the liver.
    European Journal of Radiology. 2022;156:110555.

  • Sauer TJ, Abadi E, Segars P, Samei E.
    Anatomically and physiologically informed computational model of hepatic contrast perfusion for virtual imaging trials.
    Medical Physics. 2022;49(5):2938-51.

  • Liu J, Ren S, Wang R, Mirian N, Tsai Y-J, Kulon M, Pucar D, Chen M-K, Liu C.
    Virtual high-count PET image generation using a deep learning method.
    Medical Physics. 2022;49(9):5830-40.

  • 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]