Journal

Assessment of pleural invasion and adhesion of lung tumors with dynamic chest radiography: A virtual clinical imaging study

Tanaka R, Samei E, Segars WP, Abadi E, Matsumoto I, Tamura M, Takata M, Yamashiro T.
Assessment of pleural invasion and adhesion of lung tumors with dynamic chest radiography: A virtual clinical imaging study.
Med Phys. .2021;48(4):1616-23. Epub 2021/02/04. [Foundation]
https://doi.org/10.1002/mp.14750

Assessment of pleural invasion and adhesion of lung tumors with dynamic chest radiography: A virtual clinical imaging study Read More »

Patient-Informed Organ Dose Estimation in Clinical CT: Implementation and Effective Dose Assessment in 1048 Clinical Patients

Fu W, Ria F, Segars WP, Choudhury KR, Wilson JM, Kapadia AJ, Samei E.
Patient-Informed Organ Dose Estimation in Clinical CT: Implementation and Effective Dose Assessment in 1048 Clinical Patients.
AJR Am J Roentgenol. .2021;216(3):824-34. Epub 2021/01/22. PMC8018383. [Foundation]
https://doi.org/10.2214/ajr.19.22482

Patient-Informed Organ Dose Estimation in Clinical CT: Implementation and Effective Dose Assessment in 1048 Clinical Patients Read More »

Task-dependent estimability index to assess the quality of cardiac computed tomography angiography for quantifying coronary stenosis

Samei E, Richards T, Segars WP, Daubert MA, Ivanov A, Rubin GD, Douglas PS, Hoffmann U.
Task-dependent estimability index to assess the quality of cardiac computed tomography angiography for quantifying coronary stenosis.
J Med Imaging (Bellingham). .2021;8(1):013501. Epub 2021/01/16. PMC7797007. [Foundation]
https://doi.org/10.1117/1.Jmi.8.1.013501

Task-dependent estimability index to assess the quality of cardiac computed tomography angiography for quantifying coronary stenosis Read More »

Impact of Using Uniform Attenuation Coefficients for Heterogeneously Dense Breasts in a Dedicated Breast PET/X-ray Scanner

MacDonald LR, Lo JY, Sturgeon GM, Zeng C, Harrison RL, Kinahan PE, Segars WP.
Impact of Using Uniform Attenuation Coefficients for Heterogeneously Dense Breasts in a Dedicated Breast PET/X-ray Scanner.
IEEE Trans Radiat Plasma Med Sci. .2020;4(5):585-93. Epub 2020/11/10. PMC7643852. [Foundation]
https://doi.org/10.1109/trpms.2020.2991120

Impact of Using Uniform Attenuation Coefficients for Heterogeneously Dense Breasts in a Dedicated Breast PET/X-ray Scanner Read More »

Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes

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]
https://doi.org/10.1016/j.media.2020.101857

Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes Read More »

Minimum perceivable size difference: how well can radiologists visually detect a change in lung nodule size from CT images?

Solomon J, Ebner L, Christe A, Peters A, Munz J, Löbelenz L, Klaus J, Richards T, Samei E, Roos JE.
Minimum perceivable size difference: how well can radiologists visually detect a change in lung nodule size from CT images?
Eur Radiol. .2021;31(4):1947-55. Epub 2020/10/01. [Foundation]
https://doi.org/10.1007/s00330-020-07326-2

Minimum perceivable size difference: how well can radiologists visually detect a change in lung nodule size from CT images? Read More »

Quantification of Minimum Detectable Difference in Radiomics Features Across Lesions and CT Imaging Conditions

Hoye J, Solomon JB, Sauer TJ, Samei E.
Quantification of Minimum Detectable Difference in Radiomics Features Across Lesions and CT Imaging Conditions.
Acad Radiol. .2020. Epub 2020/08/24. PMC7895859. [Foundation]
https://doi.org/10.1016/j.acra.2020.07.029

Quantification of Minimum Detectable Difference in Radiomics Features Across Lesions and CT Imaging Conditions Read More »