PUBLICATIONS
Decades of experience in imaging science (selected publications)
CVIT scientists regularly publish findings and frequently present at scientific conferences.
Featured Publications
Dahal L, Ghojoghnejad M, Vancoillie L, Ghosh D, Bhandari Y, Kim D, Ho FC, Tushar FI, Luo S, Lafata KJ, Abadi E, Samei E, Lo JY, Segars WP.
XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans.
Medical Image Analysis. 2025;103:103636. Epub 2025/05/03. [Foundation]
https://doi.org/10.1016/j.media.2025.103636Samei E.
The future of in silico trials and digital twins in medicine.
PNAS Nexus.2025;4(5):pgaf123 Epub 2025/04/18. [Foundation]
https://doi.org/10.1093/pnasnexus/pgaf123Wang AJ, Tushar FI, Harowicz MR, Tong BC, Lafata KJ, Tailor TD, Lo JY.
Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-dose Screening Thoracic CT.
Radiology Artificial Intelligence.2025;e240248 Epub 2025/04/16. [Foundation]
https://doi.org/10.1148/ryai.240248Tushar FI, Vancoillie L, McCabe C, Kavuri A, Dahal L, Harrawood B, Fryling M, Zarei M, Sotoudeh-Paima S, et al.
Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection.
Medical Image Analysis.2025;103:103576 Epub 2025/04/05. [Foundation]
https://doi.org/10.1016/j.media.2025.103576
McCabe C, Zarei M, Segars WP, Samei E, Abadi E.
Optimization of imaging parameters of an investigational photon-counting CT prototype for lung lesion radiomics.
SPIE Medical Imaging. 2022;12033.
https://doi.org/10.1117/12.2612973Ria F, Jadick G, Abadi E, Solomon J, Samei E.
Comparing two different noise magnitude estimation methods in CT using virtual imaging trials.
SPIE Medical Imaging. 2022;12031.
https://doi.org/10.1117/12.2612219Shaker K, Häggmark I, Nyrén S, Al-Amiry B, Abadi E, Segars W, Samei E, Hertz H.
Virtual study of phase-contrast thoracic imaging.
SPIE Medical Imaging. 2022;PC12031.Shankar S, Hoffman E, Atha J, Sieren J, Samei E, Abadi E.
Inter- and intra-scan variability for lung imaging quantifications via CT.
SPIE Medical Imaging. 2022;12031.
https://doi.org/10.1117/12.2613191Shankar S, Jadick G, Hoffman E, Atha J, Sieren J, Samei E, Abadi E.
Scanner-specific validation of a CT simulator using a COPD-emulated anthropomorphic phantom.
SPIE Medical Imaging. 2022;12031.
hhttps://doi.org/10.1117/12.2613212Sotoudeh-Paima S, Segars WP, Samei E, Abadi E.
Photon-counting CT versus conventional CT for COPD quantifications: intra-scanner optimization and inter-scanner assessments using virtual imaging trials.
SPIE Medical Imaging. 2022;12031.
https://doi.org/10.1117/12.2613003Tanaka R, Segars W, Abadi E, Minami S, Samei E.
Optimization of imaging conditions in pediatric dynamic chest radiography: a virtual imaging trial.
SPIE Medical Imaging. 2022;12031.
https://doi.org/10.1117/12.2612720Tushar FI, Abadi E, Sotoudeh-Paima S, Fricks R, Mazurowski M, Segars WP, Samei E, Lo J.
Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography.
SPIE Medical Imaging. 2022;12033.Tushar FI, D’Anniballe V, Rubin G, Samei E, Lo J.
Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT.
SPIE Medical Imaging. 2022;12033
https://doi.org/10.1117/12.2612700Tushar FI, Nujaim H, Fu W, Abadi E, Mazurowski M, Segars W, Samei E, Lo JY.
Quality or quantity: toward a unified approach for multi-organ segmentation in body CT.
SPIE Medical Imaging. 2022;12031.Zarei M, Sotoudeh-Paima S, Abadi E, Samei E.
A truth-based primal-dual learning approach to reconstruct CT images utilizing the virtual imaging trial platform.
SPIE Medical Imaging. 2022;12031.
https://doi.org/10.1117/12.2613168Azizmohammadi F, Navarro Castellanos I, Miró J, Segars P, Samei E, Duong L.
Generative learning approach for radiation dose reduction in X-ray guided cardiac interventions.
Medical Physics. 2022;49(6):4071-81.
https://doi.org/10.1002/mp.15654
