Publications

Iodine quantification performance with deep silicon-based Photon-Counting CT: A virtual imaging trial study.

Panta RK, Yin Z, Gronberg F, Bhattarai M, Abadi E, Segars P, Samei E.
Iodine quantification performance with deep silicon-based Photon-Counting CT: A virtual imaging trial study.
Physica Medica. 2025;135:105003. Epub 2025/06/16. [Foundation]
https://doi.org/10.1016/j.ejmp.2025.105003

Iodine quantification performance with deep silicon-based Photon-Counting CT: A virtual imaging trial study. Read More »

Reproducibility of Lung Density Quantification across Photon-counting and Conventional Energy-integrating CT: A Comparative Study.

Sotoudeh-Paima S, Samei E, Abadi E.
Reproducibility of Lung Density Quantification across Photon-counting and Conventional Energy-integrating CT: A Comparative Study.
British Journal of Radiology. 2025;98(1175):1890-1898. Epub 2025/05/10. [Foundation]
https://doi.org/10.1093/bjr/tqaf103

Reproducibility of Lung Density Quantification across Photon-counting and Conventional Energy-integrating CT: A Comparative Study. Read More »

XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans.

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.2025.103636

XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans. Read More »

Volumetric soft tissue perfusion assessment on a region basis from x-ray angiography images: Motion compensation.

Taguchi K, Subramanian S, Faria AV, Segars WP.
Volumetric soft tissue perfusion assessment on a region basis from x-ray angiography images: Motion compensation.
Medical Physics. 2025;52(6):3785-3799. Epub 2025/04/21. [Foundation]
https://doi.org/10.1002/mp.17870

Volumetric soft tissue perfusion assessment on a region basis from x-ray angiography images: Motion compensation. Read More »

Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-dose Screening Thoracic CT.

Wang 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.240248

Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-dose Screening Thoracic CT. Read More »