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Academic Radiology|March 14, 2021
Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CTBasel Yacoub, Ismail M Kabakus, U Joseph Schoepf, et al.
Investigative Radiology|January 19, 2000
Synthesis, characterization, and imaging performance of a new class of macrocyclic hepatobiliary MR contrast agentsE R Marinelli, R Neubeck, B Song, et al.
Circulation. Cardiovascular Imaging|September 15, 2025
Prediction of Cardiovascular Events Using Fully Automated Global Longitudinal and Circumferential Strain in Patients Undergoing Stress CMRAndreea Sorina Afana, Jérôme Garot, Suzanne Duhamel, et al.
Radiology|August 12, 2025
Prognostic Value of Global Longitudinal Strain using Automated Measurement in Cardiac MRIElena Sofia Canuti, Solenn Toupin, Thomas Hovasse, et al.
European Heart Journal. Cardiovascular Imaging|July 10, 2024
Artificial intelligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonanceSolenn Toupin, Théo Pezel, Thomas Hovasse, et al.
Circulation. Cardiovascular Imaging|June 20, 2018
Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE ConsortiumAdriaan Coenen, Young-Hak Kim, Mariusz Kruk, et al.
Molecular and Cellular Probes|April 14, 2009
Bioinformatic analysis of abundant, gender-enriched transcripts of adult Ascaris suum (Nematoda) using a semi-automated workflow platformC Cantacessi, F C Zou, R S Hall, et al.
BMJ Open|December 26, 2024
Low-added sugar dietary intervention study to mitigate glucose intolerance and improve body composition in adults with cystic fibrosis: a protocol of a double-blind, randomised studySwati Zaveri, Arlene Stecenko, William R Hunt, et al.
Radiology|April 11, 2018
Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics ModelingChristian Tesche, Carlo N De Cecco, Stefan Baumann, et al.
BMC Medicine|March 4, 2021
Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic valueJordan Chamberlin, Madison R Kocher, Jeffrey Waltz, et al.
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