Tushar FI, D’Anniballe VM, Hou R, Mazurowski MA, Fu W, Samei E, Rubin GD, Lo JY.
Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep Learning.
Radiology: Artificial Intelligence. 2022;4(1):e210026.
https://doi.org/10.1148/ryai.210026
Taguchi K, Polster C, Segars WP, Aygun N, Stierstorfer K.
Model-based pulse pileup and charge sharing compensation for photon counting detectors: A simulation study.
Medical Physics. 2022;49(8):5038-51.
https://doi.org/10.1002/mp.15779
Sugiura T, Tanaka R, Samei E, Segars WP, Abadi E, Kasahara K, Ohkura N, Tamura M, Matsumoto I
Quantitative analysis of changes in lung density by dynamic chest radiography in association with CT values: a virtual imaging study and initial clinical corroboration.
Radiological Physics and Technology. 2022;15(1):45-53.
https://doi.org/10.1007/s12194-021-00648-w
Sharma S, Kapadia A, Ria F, Segars WP, Samei E.
Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols.
Medical Physics. 2022;49(8):5439-50.
https://doi.org/10.1002/mp.15798
Sharma S, Kapadia A, Brown J, Segars WP, Bolch W, Samei E.
A GPU-accelerated framework for individualized estimation of organ doses in digital tomosynthesis.
Medical Physics. 2022;49(2):891-900.
https://doi.org/10.1002/mp.15400
Setiawan H, Chen C, Abadi E, Fu W, Marin D, Ria F, Samei E.
A patient-informed approach to predict iodinated-contrast media enhancement in the liver.
European Journal of Radiology. 2022;156:110555.
https://doi.org/10.1016/j.ejrad.2022.110555
A patient-informed approach to predict iodinated-contrast media enhancement in the liver Read More »
Sauer TJ, Abadi E, Segars P, Samei E.
Anatomically and physiologically informed computational model of hepatic contrast perfusion for virtual imaging trials.
Medical Physics. 2022;49(5):2938-51.
https://doi.org/10.1002/mp.15562
Liu J, Ren S, Wang R, Mirian N, Tsai Y-J, Kulon M, Pucar D, Chen M-K, Liu C.
Virtual high-count PET image generation using a deep learning method.
Medical Physics. 2022;49(9):5830-40.
https://doi.org/10.1002/mp.15867
Virtual high-count PET image generation using a deep learning method Read More »
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
Modanwal G, Vellal A, Mazurowski MA.
Normalization of breast MRIs using cycle-consistent generative adversarial networks.
Comput Methods Programs Biomed. .2021;208:106225. Epub 2021/07/02. [Foundation]
https://doi.org/10.1016/j.cmpb.2021.106225
Normalization of breast MRIs using cycle-consistent generative adversarial networks Read More »
