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
Chen J, Frey EC, He Y, Segars WP, Li Y, Du Y.
TransMorph: Transformer for unsupervised medical image registration.
Medical Image Analysis. 2022:102615.
https://doi.org/10.1016/j.media.2022.102615D’Anniballe VM, Tushar FI, Faryna K, Han S, Mazurowski MA, Rubin GD, Lo JY.
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.
BMC Medical Informatics and Decision Making. 2022;22(1):102. 2022.
https://doi.org/10.1186/s12911-022-01843-4Fedrigo R, Segars WP, Martineau P, Gowdy C, Bloise I, Uribe CF, Rahmim A.
Development of scalable lymphatic system in the 4D XCAT phantom: application to quantitative evaluation of lymphoma PET segmentations.
Medical Physics. 2022.
https://doi.org/10.1002/mp.15963Xie H, Thorn S, Liu Y, Lee S, Liu Z, Wang G, Sinusas A, Liu C.
Deep Learning Based Few-Angle Cardiac SPECT Reconstruction using Transformer.
IEEE Transactions on Radiation and Plasma Medical Sciences. 2022.
https://doi.org/10.1109/TRPMS.2022.3187595Xie H, Thorn S, Chen X, Zhou B, Liu H, Liu Z, Lee S, Wang G, Liu Y, Sinusas A, Liu C.
Increasing Angular Sampling Through Deep Learning for Stationary Cardiac SPECT Image Reconstruction.
Journal of Nuclear Cardiology. 2022.
https://doi.org/10.1007/s12350-022-02972-zTushar FI, D’Anniballe VM, Hou R, Mazurowski MA, Fu W, Samei E, Rubin GD, Lo JY.
Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep Learning.
Radiology: Artificial Intelligence. 2022;4(1):e210026.
https://doi.org/10.1148/ryai.210026Taguchi K, Polster C, Segars WP, Aygun N, Stierstorfer K.
Model-based pulse pileup and charge sharing compensation for photon counting detectors: A simulation study.
Medical Physics. 2022;49(8):5038-51.
https://doi.org/10.1002/mp.15779Sharma S, Pal D, Abadi E, Sauer T, Segars P, Hsieh J, Samei E.
Can photon-counting CT improve estimation accuracy of morphological radiomics features? A simulation study for assessing the quantitative benefits from improved spatial resolution in deep silicon-based photon-counting CT.
Academic Radiology. 2022.
https://doi.org/10.1016/j.acra.2022.06.018Sharma 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.2022.110555
