Journal

Development of physiologically-informed computational coronary artery plaques for use in virtual imaging trials

T. J. Sauer, A. J. Buckler, E. Abadi, M. Daubert, P. S. Douglas, E. Samei, and W. P. Segars
Development of physiologically-informed computational coronary artery plaques for use in virtual imaging trials.
Medical Physics. 2024;51(3). Epub 2024/03/21. [Foundation]
https://doi.org/10.1002/mp.16959

Development of physiologically-informed computational coronary artery plaques for use in virtual imaging trials Read More »

A systematic assessment and optimization of photon-counting CT for lung density quantifications

S. Sotoudeh-Paima, W. P. Segars, D. Ghosh, S. Luo, E. Samei, and E. Abadi
A systematic assessment and optimization of photon-counting CT for lung density quantifications.
Medical Physics. 2024;51(4) Epub 2024/02/18. [Foundation]
https://doi.org/10.1002/mp.16987

A systematic assessment and optimization of photon-counting CT for lung density quantifications Read More »

Surface-based anthropomorphic bone structures for use in high-resolution simulated medical imaging

T. J. Sauer, C. McCabe, E. Abadi, E. Samei, and W. P. Segars
Surface-based anthropomorphic bone structures for use in high-resolution simulated medical imaging.
Phys Med Biol. 2023;69(1). Epub 2023/12/28. [Foundation]
https://doi.org/10.1088/1361-6560/ad1275

Surface-based anthropomorphic bone structures for use in high-resolution simulated medical imaging Read More »

Coronary stenosis quantification in cardiac computed tomography angiography: multi-factorial optimization of image quality and radiation dose

M. Zarei, E. Abadi, W. P. Segars, and E. Samei
Coronary stenosis quantification in cardiac computed tomography angiography: multi-factorial optimization of image quality and radiation dose.
J Med Imaging (Bellingham). 2023;10(6):063502. Epub 2023/12/27. [Foundation]
https://doi.org/10.1117/1.JMI.10.6.063502

Coronary stenosis quantification in cardiac computed tomography angiography: multi-factorial optimization of image quality and radiation dose Read More »

Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.

D’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/s12911-022-01843-4

Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning. Read More »

Development of scalable lymphatic system in the 4D XCAT phantom: application to quantitative evaluation of lymphoma PET segmentations

Fedrigo 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.15963

Development of scalable lymphatic system in the 4D XCAT phantom: application to quantitative evaluation of lymphoma PET segmentations Read More »

Increasing Angular Sampling Through Deep Learning for Stationary Cardiac SPECT Image Reconstruction

Xie 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-z

Increasing Angular Sampling Through Deep Learning for Stationary Cardiac SPECT Image Reconstruction Read More »