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Abdominal Radiology (New York)|June 12, 2020
Variability of quantitative measurements of metastatic liver lesions: a multi-radiation-dose-level and multi-reader comparisonYuqin Ding, Daniele Marin, Federica Vernuccio, et al.
BMJ Open|September 14, 2022
Outcomes of proximal humerus fractures in children: a study protocol for a retrospective cohort studySamuel Richard Abbot, Susanna Proudman, Kelly Hall, et al.
Journal of Computer Assisted Tomography|April 16, 2024
Technology Characterization Through Diverse Evaluation Methodologies: Application to Thoracic Imaging in Photon-Counting Computed TomographyJayasai R Rajagopal, Fides R Schwartz, Cindy McCabe, et al.
European Radiology|November 3, 2022
Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?Peijie Lyu, Nana Liu, Brian Harrawood, et al.
Medical Physics|August 14, 2019
Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233Ehsan Samei, Donovan Bakalyar, Kirsten L Boedeker, et al.
Diagnostics (Basel, Switzerland)|August 10, 2024
Impact of Simulated Reduced-Dose Chest CT on Diagnosing Pulmonary T1 Tumors and Patient ManagementAlan Arthur Peters, Jaro Munz, Jeremias Bendicht Klaus, et al.
Abdominal Radiology (New York)|November 18, 2025
Analysis of deep learning-based segmentation of lymph nodes on full-dose and reduced-dose body CTLindsey H Bloom, Tejas Sudharshan Mathai, Bohan Liu, et al.
Radiology. Cardiothoracic Imaging|November 15, 2021
Evaluation of Coronary Plaques and Stents with Conventional and Photon-counting CT: Benefits of High-Resolution Photon-counting CTJayasai R Rajagopal, Faraz Farhadi, Taylor Richards, et al.
Medical Image Analysis|May 10, 2025
XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scansLavsen Dahal, Mobina Ghojoghnejad, Liesbeth Vancoillie, et al.
Medical Physics|July 12, 2018
Redefining and reinvigorating the role of physics in clinical medicine: A Report from the AAPM Medical Physics 3.0 Ad Hoc CommitteeEhsan Samei, Todd Pawlicki, Daniel Bourland, et al.
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