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Journal of the American College of Radiology : JACR|February 7, 2018
Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for SuccessJames H Thrall, Xiang Li, Quanzheng Li, et al.
Plos One|November 13, 2014
High fidelity system modeling for high quality image reconstruction in clinical CTSynho Do, William Clem Karl, Sarabjeet Singh, et al.
IEEE Transactions on Medical Imaging|March 10, 2005
Soft tissue differentiation using multiband signatures of high resolution ultrasonic transmission tomographyJeong-Won Jeong, Tae-Seong Kim, Dae C Shin, et al.
Academic Radiology|September 14, 2013
A novel analysis algorithm for potential quantitative assessment of myocardial computed tomography perfusionGary Liew, Nabeel Ali, Synho Do, et al.
European Radiology|July 4, 2018
Comparison of performance metrics with digital 2D versus tomosynthesis mammography in the diagnostic settingManisha Bahl, Sarah Mercaldo, Charmi A Vijapura, et al.
AJR. American Journal of Roentgenology|January 12, 2022
Artificial Intelligence (AI) for Screening Mammography, From the AJR Special Series on AI ApplicationsLeslie R Lamb, Constance D Lehman, Aimilia Gastounioti, et al.
Journal of Digital Imaging|June 28, 2017
Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric AnalysisHyunkwang Lee, Fabian M Troschel, Shahein Tajmir, et al.
IEEE Transactions on Medical Imaging|April 10, 2010
A spatio-temporal deconvolution method to improve perfusion CT quantificationLili He, Burkay Orten, Synho Do, et al.
AJR. American Journal of Roentgenology|August 8, 2018
Evaluation of a Nonradioactive Magnetic Marker Wireless Localization ProgramLeslie R Lamb, Manisha Bahl, Michelle C Specht, et al.
Radiology|March 29, 2016
Impact of Breast Density Notification Legislation on Radiologists' Practices of Reporting Breast Density: A Multi-State StudyManisha Bahl, Jay A Baker, Mythreyi Bhargavan-Chatfield, et al.
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