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Computers in Biology and Medicine|January 12, 2023
Quantifying the impact of shape uncertainty on predicted arrhythmiasCesare Corrado, Caroline H Roney, Orod Razeghi, et al.
Computers in Biology and Medicine|April 18, 2025
Performance of atrial conduction velocity algorithms with error-prone clinical measurements for the identification of atrial fibrosisAli Gharaviri, Vinush Vigneswaran, Keeran Vickneson, et al.
Frontiers in Physiology|March 15, 2021
OpenEP: A Cross-Platform Electroanatomic Mapping Data Format and Analysis Platform for Electrophysiology ResearchSteven E Williams, Caroline H Roney, Adam Connolly, et al.
Circulation. Arrhythmia and Electrophysiology|January 28, 2022
Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial ModelsCaroline H Roney, Iain Sim, Jin Yu, et al.
Circulation Research|November 10, 2020
Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden DeathAlbert J Rogers, Anojan Selvalingam, Mahmood I Alhusseini, et al.
Circulation. Arrhythmia and Electrophysiology|April 15, 2018
Lesion Index-Guided Ablation Facilitates Continuous, Transmural, and Durable Lesions in a Porcine Recovery ModelJohn Whitaker, Jeffrey Fish, James Harrison, et al.
International Journal of Cardiology. Heart & Vasculature|January 4, 2021
Standardised computed tomographic assessment of left atrial morphology and tissue thickness in humansJohn Whitaker, Júlia Karády, Rashed Karim, et al.
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