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Milind Desai

Showing results (41-50 of 46) with videos related to

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The American Journal of Cardiology|August 14, 2022
Ventricular Septal Myectomy for Obstructive Hypertrophic Cardiomyopathy (Analysis Spanning 60 Years Of Practice): AJC Expert PanelBarry J Maron, Joseph A Dearani, Nicholas G Smedira, et al.
European Heart Journal. Quality of Care & Clinical Outcomes|September 28, 2024
Cost-effectiveness of a novel AI technology to quantify coronary inflammation and cardiovascular risk in patients undergoing routine Coronary Computed Tomography AngiographyApostolos Tsiachristas, Kenneth Chan, Elizabeth Wahome, et al.
Lancet (London, England)|June 1, 2024
Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort studyKenneth Chan, Elizabeth Wahome, Apostolos Tsiachristas, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|October 26, 2017
ACC/AATS/AHA/ASE/ASNC/HRS/SCAI/SCCT/SCMR/STS 2017 Appropriate Use Criteria for Multimodality Imaging in Valvular Heart Disease: A Report of the American College of Cardiology Appropriate Use Criteria Task Force, American Association for Thoracic Surgery, American Heart Association, American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Rhythm Society, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, and Society of Thoracic SurgeonsJohn U Doherty, Smadar Kort, Roxana Mehran, et al.
International Journal of Cardiology|February 3, 2021
Quality assurance of quantitative cardiac T1-mapping in multicenter clinical trials - A T1 phantom program from the hypertrophic cardiomyopathy registry (HCMR) studyQiang Zhang, Konrad Werys, Iulia A Popescu, et al.
Nature|May 27, 2021
Swarm Learning for decentralized and confidential clinical machine learningStefanie Warnat-Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry, et al.
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Showing results (41-50 of 46) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 46 results.
The American Journal of Cardiology|August 14, 2022
Ventricular Septal Myectomy for Obstructive Hypertrophic Cardiomyopathy (Analysis Spanning 60 Years Of Practice): AJC Expert PanelBarry J Maron, Joseph A Dearani, Nicholas G Smedira, et al.
European Heart Journal. Quality of Care & Clinical Outcomes|September 28, 2024
Cost-effectiveness of a novel AI technology to quantify coronary inflammation and cardiovascular risk in patients undergoing routine Coronary Computed Tomography AngiographyApostolos Tsiachristas, Kenneth Chan, Elizabeth Wahome, et al.
Lancet (London, England)|June 1, 2024
Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort studyKenneth Chan, Elizabeth Wahome, Apostolos Tsiachristas, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|October 26, 2017
ACC/AATS/AHA/ASE/ASNC/HRS/SCAI/SCCT/SCMR/STS 2017 Appropriate Use Criteria for Multimodality Imaging in Valvular Heart Disease: A Report of the American College of Cardiology Appropriate Use Criteria Task Force, American Association for Thoracic Surgery, American Heart Association, American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Rhythm Society, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, and Society of Thoracic SurgeonsJohn U Doherty, Smadar Kort, Roxana Mehran, et al.
International Journal of Cardiology|February 3, 2021
Quality assurance of quantitative cardiac T1-mapping in multicenter clinical trials - A T1 phantom program from the hypertrophic cardiomyopathy registry (HCMR) studyQiang Zhang, Konrad Werys, Iulia A Popescu, et al.
Nature|May 27, 2021
Swarm Learning for decentralized and confidential clinical machine learningStefanie Warnat-Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry, et al.
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