PUBLICATIONS
Decades of experience in imaging science (selected publications)
CVIT scientists regularly publish findings and frequently present at scientific conferences.
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]
https://doi.org/10.1109/jbhi.2021.3063080Draelos 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]
https://doi.org/10.1016/j.media.2020.101857Abadi 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]
https://doi.org/10.2214/ajr.20.23429Abadi 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]
https://doi.org/10.1117/1.Jmi.7.4.042805
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.
https://doi.org/10.1002/mp.15798Sharma 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.
https://doi.org/10.1002/mp.15400Shankar 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).
https://doi.org/10.1002/mp.15967Setiawan 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.
https://doi.org/10.1016/j.ejrad.2022.110555Sauer 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.
https://doi.org/10.1002/mp.15562Liu 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.
https://doi.org/10.1002/mp.15867Buda 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]
https://doi.org/10.1001/jamanetworkopen.2021.19100Modanwal 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]
https://doi.org/10.1016/j.cmpb.2021.106225Hoye 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]
https://doi.org/10.1016/j.acra.2021.04.012Swiecicki 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]
https://doi.org/10.1038/s41598-021-89626-1Sharma 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]
https://doi.org/10.1088/1361-6560/abeb32Fricks 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]
https://doi.org/10.1117/12.2582223
