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
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
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
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
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
Samei E, Kinahan P, Nishikawa RM, Maidment A.
Virtual Clinical Trials: Why and What (Special Section Guest Editorial).
J Med Imaging (Bellingham). .2020;7(4):042801. Epub 2020/07/28. PMC7364111. [Foundation]
https://doi.org/10.1117/1.Jmi.7.4.042801
Virtual Clinical Trials: Why and What (Special Section Guest Editorial) Read More »
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
Abadi E, Segars WP, Tsui BMW, Kinahan PE, Bottenus N, Frangi AF, Maidment A, Lo J, Samei E.
Virtual clinical trials in medical imaging: a review.
J Med Imaging (Bellingham). .2020;7(4):042805. Epub 2020/04/22. PMC7148435. [Foundation]
https://doi.org/10.1117/1.Jmi.7.4.042805
Virtual clinical trials in medical imaging: a review Read More »
Faryna K, Tushar F, D”Anniballe V, Hou R, Rubin G, Lo J.
Attention-guided classification of abnormalities in semi-structured computed tomography reports.
SPIE Medical Imaging. .2020;11314. [Foundation]
https://doi.org/10.1117/12.2551370
Saha A, Tushar F, Faryna K, D”Anniballe V, Hou R, Mazurowski M, Rubin G, Lo J.
Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features.
SPIE Medical Imaging. .2020;11314. [Foundation]
https://doi.org/10.1117/12.2550857
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