Publications

A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images

Buda M, Saha A, Walsh R, Ghate S, Li N, Swiecicki A, Lo JY, Mazurowski MA.
A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images.
JAMA Netw Open. .2021;4(8):e2119100. Epub 2021/08/17. [Foundation]
https://doi.org/10.1001/jamanetworkopen.2021.19100

A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images Read More »

A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis.

Swiecicki A, Konz N, Buda M, Mazurowski MA.
A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis.
Sci Rep. .2021;11(1):10276. Epub 2021/05/15. PMC8119417. [Foundation]
https://doi.org/10.1038/s41598-021-89626-1

A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis. Read More »

iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry

Fu W, Sharma S, Abadi E, Iliopoulos AS, Wang Q, Lo JY, Sun X, Segars WP, Samei E.
iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry.
IEEE J Biomed Health Inform. .2021;25(8):3061-72. Epub 2021/03/03. [Foundation]
https://doi.org/10.1109/jbhi.2021.3063080

iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry Read More »

A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials

Sharma S, Abadi E, Kapadia A, Segars WP, Samei E.
A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials.
Phys Med Biol. .2021;66(7). Epub 2021/03/03. PMC8381286. [Foundation]
https://doi.org/10.1088/1361-6560/abeb32

A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials Read More »

Classification of COVID-19 in chest radiographs: assessing the impact of imaging parameters using clinical and simulated images

Fricks R, Abadi E, Ria F, Samei E.
Classification of COVID-19 in chest radiographs: assessing the impact of imaging parameters using clinical and simulated images.
SPIE Medical Imaging. .2021;11597. [Foundation]
https://doi.org/10.1117/12.2582223

Classification of COVID-19 in chest radiographs: assessing the impact of imaging parameters using clinical and simulated images Read More »