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Aidan K Cornhill
Aidan K Cornhill
Unknown affiliation
Verified email at ucalgary.ca
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Year
Objective criteria for septal fibrosis in non-ischemic dilated cardiomyopathy: validation for the prediction of future cardiovascular events
Y Mikami, A Cornhill, B Heydari, SX Joncas, F Almehmadi, M Zahrani, ...
Journal of Cardiovascular Magnetic Resonance 18 (1), 1-13, 2017
412017
Right Ventricular Ejection Fraction for the Prediction of Major Adverse Cardiovascular and Heart Failure-Related Events: A Cardiac MRI Based Study of 7131 Patients With Known …
Y Purmah, LY Lei, S Dykstra, Y Mikami, A Cornhill, A Satriano, J Flewitt, ...
Circulation: Cardiovascular Imaging 14 (3), e011337, 2021
222021
Right ventricular insertion site fibrosis in a dilated cardiomyopathy referral population: phenotypic associations and value for the prediction of heart failure admission or death
Y Mikami, A Cornhill, S Dykstra, A Satriano, R Hansen, J Flewitt, M Seib, ...
Journal of Cardiovascular Magnetic Resonance 23 (1), 1-13, 2021
132021
Mid-wall striae fibrosis predicts heart failure admission, composite heart failure events, and life-threatening arrhythmias in dilated cardiomyopathy
Y Purmah, A Cornhill, LY Lei, S Dykstra, Y Mikami, A Satriano, D Labib, ...
Scientific Reports 12 (1), 1739, 2022
52022
Left atrial function using cardiovascular magnetic resonance imaging independently predicts life-threatening arrhythmias in patients referred to receive a primary prevention …
CP Lydell, Y Mikami, K Homer, M Peng, A Cornhill, A Rajagopalan, ...
Canadian Journal of Cardiology 35 (9), 1149-1157, 2019
52019
Left atrial function using cardiovascular magnetic resonance imaging independently predicts life-threatening arrhythmias in patients referred to receive a primary prevention …
CP Lydell, Y Mikami, K Homer, M Peng, A Cornhill, A Rajagopalan, ...
Canadian Journal of Cardiology 35 (9), 1149-1157, 2019
52019
Machine Learning Patient-Specific Prediction of Heart Failure Hospitalization Using Cardiac MRI-Based Phenotype and Electronic Health Information
AK Cornhill, S Dykstra, A Satriano, D Labib, Y Mikami, J Flewitt, E Prosio, ...
Frontiers in Cardiovascular Medicine 9, 890904, 2022
42022
Machine learning prediction of atrial fibrillation in cardiovascular patients using cardiac magnetic resonance and electronic health information
S Dykstra, A Satriano, AK Cornhill, LY Lei, D Labib, Y Mikami, J Flewitt, ...
Frontiers in Cardiovascular Medicine 9, 998558, 2022
32022
Comparison of Semi-automated Late Gadolinium Enhancement Quantification Techniques in Measuring Septal Fibrosis in Patients with Dilated Non-Ischemic Cardiomyopathy
Y Mikami, AK Cornhill, N Merchant, CP Lydell, AG Howarth, JA White
Journal of Cardiovascular Magnetic Resonance 18 (1), 1-2, 2016
12016
DEEP NEURAL NETWORK PREDICTION OF 12-MONTH HEART FAILURE ADMISSION FROM CARDIAC MRI 3D MYOCARDIAL DEFORMATION ANALYSIS
A Satriano, A Cornhill, D Labib, M Magyar-Ng, Y Mikami, S Dykstra, ...
Journal of the American College of Cardiology 79 (9_Supplement), 1180-1180, 2022
2022
MACHINE LEARNING BASED PREDICTION OF CARDIAC-RELATED HOSPITALIZATION COSTS AT TIME OF DIAGNOSTIC IMAGING: DEMONSTRATION OF VALUE FROM MULTI-DOMAIN PHENOTYPIC DATA AT TIME OF …
L Lei, S Dykstra, Y Mikami, A Cornhill, A Satriano, DS Chew, JA Flewitt, ...
Journal of the American College of Cardiology 79 (9_Supplement), 1297-1297, 2022
2022
Development and validation of a risk model for the prediction of cardiovascular hospital admission using CMR-based phenotype in patients with known or suspected cardiovascular …
L Lei, S Dykstra, A Cornhill, D Labib, Y Mikami, A Satriano, J Flewitt, ...
European Heart Journal 41 (Supplement_2), ehaa946. 2917, 2020
2020
Cardiovascular Magnetic Resonance Imaging-Based Multivariable Risk Score for the Prediction of Heart Failure Admission or Death
AK Cornhill, S Dykstra, Y Mikami, J Flewitt, M Seib, P Faris, M James, ...
Circulation 140 (Suppl_1), A15023-A15023, 2019
2019
Feasibility and validation of routine CMR-based phenotyping for the prediction of heart failure admission or death in patients with systolic dysfunction
A Cornhill, S Dykstra, Y Mikami, J Flewitt, M Seib, K Yee, P Faris, ...
EUROPEAN HEART JOURNAL 40, 2527-2527, 2019
2019
4179 Feasibility and validation of routine CMR-based phenotyping for the prediction of heart failure admission or death in patients with systolic dysfunction
A Cornhill, S Dykstra, Y Mikami, J Flewitt, M Seib, K Yee, P Faris, ...
European Heart Journal 40 (Supplement_1), ehz745. 0125, 2019
2019
Relative influence of peak strain delay and peak strain amplitude of non-scarred myocardium in response to cardiac resynchronization therapy: insights from segmental 4D strain …
A Satriano, AK Cornhill, Y Mikami, NM Fine, B Heydari, N Merchant, ...
Journal of Cardiovascular Magnetic Resonance 18 (1), 1-2, 2016
2016
Prognostic significance of the extent of septal fibrosis quantified on late gadolium enhanced images in patients with nonischemic cardiomyopathy
AK Cornhill, Y Mikami, V Kandalam, SX Joncas, I Pauchard, M Bristow, ...
Journal of Cardiovascular Magnetic Resonance 17 (1), 1-2, 2015
2015
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