| A tutorial on calibration measurements and calibration models for clinical prediction models Y Huang, W Li, F Macheret, RA Gabriel, L Ohno-Machado Journal of the American Medical Informatics Association 27 (4), 621-633, 2020 | 241 | 2020 |
| Improving risk prediction in heart failure using machine learning ED Adler, AA Voors, L Klein, F Macheret, OO Braun, MA Urey, W Zhu, ... European journal of heart failure 22 (1), 139-147, 2020 | 159 | 2020 |
| Human hypertension is characterized by a lack of activation of the antihypertensive cardiac hormones ANP and BNP F Macheret, D Heublein, LC Costello-Boerrigter, G Boerrigter, P McKie, ... Journal of the American College of Cardiology 60 (16), 1558-1565, 2012 | 131 | 2012 |
| Pro–B-Type Natriuretic Peptide1–108 Circulates in the General Community: Plasma Determinants and Detection of Left Ventricular Dysfunction F Macheret, G Boerrigter, P McKie, L Costello-Boerrigter, B Lahr, ... Journal of the American College of Cardiology 57 (12), 1386-1395, 2011 | 84 | 2011 |
| Higher circulating adiponectin levels are associated with increased risk of atrial fibrillation in older adults F Macheret, TM Bartz, L Djousse, JH Ix, KJ Mukamal, SJ Zieman, ... Heart 101 (17), 1368-1374, 2015 | 81 | 2015 |
| Secretion of glycosylated pro–B-type natriuretic peptide from normal cardiomyocytes JM Tonne, JM Campbell, A Cataliotti, S Ohmine, T Thatava, T Sakuma, ... Clinical chemistry 57 (6), 864-873, 2011 | 65 | 2011 |
| Effect of plasmonic gold nanoparticles on benign and malignant cellular autofluorescence: a novel probe for fluorescence based detection of cancer I El-Sayed, X Huang, F Macheret, JO Humstoe, R Kramer, M El-Sayed Technology in cancer research & treatment 6 (5), 403-412, 2007 | 36 | 2007 |
| Secretion of Prohormone of B-Type Natriuretic Peptide, proBNP1-108, Is Increased in Heart Failure LC Costello-Boerrigter, H Lapp, G Boerrigter, A Lerman, A Bufe, ... JACC: Heart Failure 1 (3), 207-212, 2013 | 35 | 2013 |
| Right care in hospital medicine: co-creation of ten opportunities in overuse and underuse for improving value in hospital medicine HJ Cho, CM Wray, S Maione, F Macharet, A Bansal, ME Lacy, S Tsega Journal of general internal medicine 33, 804-806, 2018 | 20 | 2018 |
| Epicardial adipose tissue is associated with left atrial volume and fibrosis in patients with atrial fibrillation Y Chahine, B Askari-Atapour, KT Kwan, CA Anderson, F Macheret, ... Frontiers in Cardiovascular Medicine 9, 1045730, 2022 | 8 | 2022 |
| Empiric treatment of protracted idiopathic purpura fulminans in an infant: a case report and review of the literature F Macheret, KN Pundi, EM Broomall, DM Davis, V Rodriguez, CK Brands Journal of Medical Case Reports 5, 1-8, 2011 | 8 | 2011 |
| DEFICIENCY OF THE CARDIORENAL PROTECTIVE HORMONE BNP IN EARLY STAGES OF HYPERTENSION: 2C. 01 A Cataliotti, F Macheret, PM McKei, RJ Rodeheffer, KR Bailey, ... Journal of Hypertension 28, e21, 2010 | 5 | 2010 |
| Explainable machine learning to predict anchored reentry substrate created by persistent atrial fibrillation ablation in computational models SF Bifulco, F Macheret, GD Scott, N Akoum, PM Boyle Journal of the American Heart Association 12 (16), e030500, 2023 | 4 | 2023 |
| Comparing Inducibility of Re-Entrant Arrhythmia in Patient-Specific Computational Models to Clinical Atrial Fibrillation Phenotypes F Macheret, SF Bifulco, GD Scott, KT Kwan, Y Chahine, T Afroze, ... Clinical Electrophysiology 9 (10), 2149-2162, 2023 | 2 | 2023 |
| MRI-quantified left atrial epicardial adipose tissue predicts atrial fibrillation recurrence following catheter ablation Y Chahine, F Macheret, K Ordovas, J Kim, PM Boyle, N Akoum Frontiers in Cardiovascular Medicine 9, 1045742, 2022 | 2 | 2022 |
| Cryoballoon temperature parameters during cryoballoon ablation predict pulmonary vein reconnection and atrial fibrillation recurrence Y Chahine, T Afroze, SF Bifulco, F Macheret, N Abdulsalam, PM Boyle, ... Journal of Interventional Cardiac Electrophysiology 66 (6), 1367-1373, 2023 | 1 | 2023 |
| PO-690-02 ABLATION SCAR ARRHYTHMOGENICITY CAN BE PREDICTED BY AN EXPLAINABLE MACHINE LEARNING (ML) CLASSIFIER: PROOF-OF-CONCEPT FROM COMPUTATIONAL SIMULATIONS S Bifulco, F Macheret, N Akoum, PM Boyle Heart Rhythm 19 (5), S395, 2022 | 1 | 2022 |
| Machine learning algorithm using 8 commonly acquired clinical variables accurately predicts mortality in heart failure E Adler, A Voors, L Klein, F Macheret, I Sama, O Braun, M Urey, W Zhu, ... Journal of the American College of Cardiology 73 (9S1), 689-689, 2019 | 1 | 2019 |
| MARKER-HF (Machine Learning Assessment of RisK and EaRly mortality inHeart Failure): Development and Validation of a Novel Model MARKER-HF (Machine Learning Assessment of RisK … E Adler, B Greenberg, O Braun, F Macheret, C Campagnari Journal of Cardiac Failure 24 (8), S12-S13, 2018 | 1 | 2018 |
| The non-failing human heart secretes proBNP 1-108 F Macheret, FL Martin, T Ichiki, DM Heublein, BK Huntley, C Larue, ... Journal of Cardiac Failure 16 (8), S30, 2010 | 1 | 2010 |
