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Journal of the American College of Cardiology|August 22, 2020
Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic FeaturesNobuyuki Kagiyama, Marco Piccirilli, Naveena Yanamala, et al.
JACC. Cardiovascular Imaging|February 9, 2019
Network Tomography for Understanding Phenotypic Presentations in Aortic StenosisGrace Casaclang-Verzosa, Sirish Shrestha, Muhammad Jahanzeb Khalil, et al.
Biorxiv : the Preprint Server for Biology|September 26, 2025
Uncovering genetic architecture of the heart via genetic association studies of unsupervised deep learning derived endophenotypesLei You, Xingzhong Zhao, Ziqian Xie, et al.
Heart (British Cardiac Society)|November 16, 2021
Outcomes in patients with a first episode of chest pain undergoing early coronary CT imagingKlaske R Siegersma, N Charlotte Onland-Moret, Yolande Appelman, et al.
JACC. Cardiovascular Imaging|April 10, 2009
Characterization and quantification of vortex flow in the human left ventricle by contrast echocardiography using vector particle image velocimetryGeu-Ru Hong, Gianni Pedrizzetti, Giovanni Tonti, et al.
Ebiomedicine|June 8, 2017
Spasmogenic Effects of the Proteasome Inhibitor Carfilzomib on Coronary Resistance, Vascular Tone and ReactivityCarol Chen-Scarabelli, Giovanni Corsetti, Evasio Pasini, et al.
Communications Medicine|February 14, 2023
Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunctionAkhil Vaid, Edgar Argulian, Stamatios Lerakis, et al.
Radiology|March 3, 2007
Pulmonary arterial hypertension: noninvasive detection with phase-contrast MR imagingJavier Sanz, Paola Kuschnir, Teresa Rius, et al.
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