Dahal L, Tushar FI, Abadi E, Fricks RB, Mazurowski M, Segars WP, Samei E, Lo J.
Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography.
SPIE Medical Imaging. 2022;12031.
McCabe C, Zarei M, Segars WP, Samei E, Abadi E.
Optimization of imaging parameters of an investigational photon-counting CT prototype for lung lesion radiomics.
SPIE Medical Imaging. 2022;12033.
https://doi.org/10.1117/12.2612973
Tushar FI, Abadi E, Sotoudeh-Paima S, Fricks R, Mazurowski M, Segars WP, Samei E, Lo J.
Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography.
SPIE Medical Imaging. 2022;12033.
Tushar FI, D’Anniballe V, Rubin G, Samei E, Lo J.
Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT.
SPIE Medical Imaging. 2022;12033
https://doi.org/10.1117/12.2612700
Tushar FI, Nujaim H, Fu W, Abadi E, Mazurowski M, Segars W, Samei E, Lo JY.
Quality or quantity: toward a unified approach for multi-organ segmentation in body CT.
SPIE Medical Imaging. 2022;12031.
Quality or quantity: toward a unified approach for multi-organ segmentation in body CT Read More »
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
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
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 »
Hoye J, Smith T, Abadi E, Solomon JB, Samei E.
Correction for Systematic Bias in Radiomics Measurements Due to Variation in Imaging Protocols.
Acad Radiol. .2021. Epub 2021/06/17. [Foundation]
https://doi.org/10.1016/j.acra.2021.04.012
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