Browsing School of Engineering and Materials Science by Author "O'Neill, M"
Now showing items 1-13 of 13
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AF and in-hospital mortality in COVID-19 patients.
Kotadia, ID; Dias, M; Roney, C; Parker, RA; O'Dowling, R; Bodagh, N; Lemus-Solis, J-A; O'Hare, D; Sim, I; Newby, D (Elsevier, 2023-11)BACKGROUND: There are conflicting data on whether new-onset atrial fibrillation (AF) is independently associated with poor outcomes in COVID-19 patients. This study represents the largest dataset curated by manual chart ... -
Anisotropic Cardiac Conduction
Kotadia, I; Whitaker, J; Roney, C; Niederer, S; O'Neill, M; Bishop, M; Wright, M (2020) -
Applications of multimodality imaging for left atrial catheter ablation
Roney, CH; Sillett, C; Whitaker, J; Lemus, JAS; Sim, I; Kotadia, I; O'Neill, M; Williams, SE; Niederer, SA (2021) -
Atrial CARdiac Magnetic resonance imaging in patients with embolic stroke of unknown source without documented Atrial Fibrillation (CARM-AF): Study design and clinical protocol.
Kotadia, ID; O'Dowling, R; Aboagye, A; Sim, I; O'Hare, D; Lemus-Solis, J-A; Roney, CH; Dweck, M; Chiribiri, A; Plein, S (2022-04)BACKGROUND: Initiation of anticoagulation therapy in ischemic stroke patients is contingent on a clinical diagnosis of atrial fibrillation (AF). Results from previous studies suggest thromboembolic risk may predate clinical ... -
B-PO02-137 OPEN-SOURCE PLATFORM FOR ANALYSIS OF FIBROSIS BEFORE AND AFTER A PULMONARY VEIN ISOLATION PROCEDURE
Solis-Lemus, JA; Roney, CH; Razeghi, O; Sim, I; Kotadia, I; Mukherjee, R; Williams, SE; O'Neill, M; Niederer, SA (Elsevier, 2021-08) -
B-PO03-096 DIELECTRIC IMAGING ACCURATELY MEASURES REGIONAL CARDIAC CHAMBER WALL THICKNESS - AN IN VIVO STUDY
Kotadia, I; Williams, ISM; Roney, CH; Solis-Lemus, J; Razeghi, O; Daniel, C; Clutton, SGE; Grant, RGL; Proudfoot, JNC; Reisner, Y (Elsevier, 2021-07-27) -
Evaluation of an open-source pipeline to create patient-specific left atrial models: A reproducibility study.
Solís-Lemus, JA; Baptiste, T; Barrows, R; Sillett, C; Gharaviri, A; Raffaele, G; Razeghi, O; Strocchi, M; Sim, I; Kotadia, I (Elsevier, 2023-08)This work presents an open-source software pipeline to create patient-specific left atrial models with fibre orientations and a fibrDEFAULTosis map, suitable for electrophysiology simulations, and quantifies the intra and ... -
Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network
Razeghi, O; Sim, I; Roney, CH; Karim, R; Chubb, H; Whitaker, J; O'Neill, L; Mukherjee, R; Wright, M; O'Neill, M (American Heart Association, Inc, 2020)Background: Pathological atrial fibrosis is a major contributor to sustained atrial fibrillation. Currently, late gadolinium enhancement (LGE) scans provide the only noninvasive estimate of atrial fibrosis. However, ... -
Late Gadolinium Enhancement Cardiovascular Magnetic Resonance Assessment of Substrate for Ventricular Tachycardia With Hemodynamic Compromise.
Whitaker, J; Neji, R; Kim, S; Connolly, A; Aubriot, T; Calvo, JJ; Karim, R; Roney, CH; Murfin, B; Richardson, C (2021)Background: The majority of data regarding tissue substrate for post myocardial infarction (MI) VT has been collected during hemodynamically tolerated VT, which may be distinct from the substrate responsible for VT with ... -
OpenEP: A Cross-Platform Electroanatomic Mapping Data Format and Analysis Platform for Electrophysiology Research.
Williams, SE; Roney, CH; Connolly, A; Sim, I; Whitaker, J; O'Hare, D; Kotadia, I; O'Neill, L; Corrado, C; Bishop, M (2021)BACKGROUND: Electroanatomic mapping systems are used to support electrophysiology research. Data exported from these systems is stored in proprietary formats which are challenging to access and storage-space inefficient. ... -
Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models
Roney, CH; Sim, I; Yu, J; Beach, M; Mehta, A; Solis-Lemus, JA; Kotadia, I; Whitaker, J; Corrado, C; Razeghi, O (2022) -
Time-Averaged Wavefront Analysis Demonstrates Preferential Pathways of Atrial Fibrillation, Predicting Pulmonary Vein Isolation Acute Response
Roney, CH; Child, N; Porter, B; Sim, I; Whitaker, J; Clayton, RH; Laughner, JI; Shuros, A; Neuzil, P; Williams, SE (2021) -
Using machine learning to identify local cellular properties that surpport re-entrant activation in patient-specific models of atrial fibrillation
Corrado, C; Williams, S; Roney, C; Plank, G; O'Neill, M; Niederer, S (2021)