Journal

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

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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 »

Virtual clinical trial for quantifying the effects of beam collimation and pitch on image quality in computed tomography

Abadi E, Segars WP, Harrawood B, Sharma S, Kapadia A, Samei E.
Virtual clinical trial for quantifying the effects of beam collimation and pitch on image quality in computed tomography.
J Med Imaging (Bellingham). .2020;7(4):042806. Epub 2020/06/09. PMC7262564. [Foundation]
https://doi.org/10.1117/1.Jmi.7.4.042806

Virtual clinical trial for quantifying the effects of beam collimation and pitch on image quality in computed tomography Read More »

Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings

Meyer M, Ronald J, Vernuccio F, Nelson RC, Ramirez-Giraldo JC, Solomon J, Patel BN, Samei E, Marin D.
Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings.
Radiology. .2019;293(3):583-91. Epub 2019/10/02. [Foundation]
https://doi.org/10.1148/radiol.2019190928

Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings Read More »