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Puneet Sharma

Showing results (171-180 of 185) with videos related to

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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.
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.
Academic Radiology|October 10, 2024
Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CTGiuseppe Tremamunno, Milan Vecsey-Nagy, U Joseph Schoepf, et al.
Journal of Thoracic Imaging|March 14, 2020
Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography AngiographyAndreas M Fischer, Marwen Eid, Carlo N De Cecco, et al.
Journal of Cardiovascular Computed Tomography|January 10, 2025
Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling indexEmese Zsarnoczay, Akos Varga-Szemes, U Joseph Schoepf, et al.
Biorxiv : the Preprint Server for Biology|January 9, 2026
A dietary pan-amino acid dropout screen <i>in vivo</i> reveals a critical role for histidine in T-ALLKomal Mandleywala, Simona Ulrich, Victoria da Silva-Diz, et al.
Pageof 19

Showing results (171-180 of 185) with videos related to

Sort By:
Pageof 19
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.
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.
Academic Radiology|October 10, 2024
Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CTGiuseppe Tremamunno, Milan Vecsey-Nagy, U Joseph Schoepf, et al.
Journal of Thoracic Imaging|March 14, 2020
Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography AngiographyAndreas M Fischer, Marwen Eid, Carlo N De Cecco, et al.
Journal of Cardiovascular Computed Tomography|January 10, 2025
Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling indexEmese Zsarnoczay, Akos Varga-Szemes, U Joseph Schoepf, et al.
Biorxiv : the Preprint Server for Biology|January 9, 2026
A dietary pan-amino acid dropout screen <i>in vivo</i> reveals a critical role for histidine in T-ALLKomal Mandleywala, Simona Ulrich, Victoria da Silva-Diz, et al.
Pageof 19