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Christopher A Rinaldi

Showing results (161-170 of 234) with videos related to

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Medical Image Analysis|June 16, 2023
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR imagesTareen Dawood, Chen Chen, Baldeep S Sidhu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 10, 2021
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response PredictionEsther Puyol-Antón, Chen Chen, James R Clough, et al.
Computers in Biology and Medicine|July 29, 2019
Generation of a cohort of whole-torso cardiac models for assessing the utility of a novel computed shock vector efficiency metric for ICD optimisationAnne-Marie Plancke, Adam Connolly, Philip M Gemmell, et al.
Scientific Reports|March 12, 2021
Hyperparameter optimisation and validation of registration algorithms for measuring regional ventricular deformation using retrospective gated computed tomography imagesOrod Razeghi, Mattias Heinrich, Thomas E Fastl, et al.
Pacing and Clinical Electrophysiology : PACE|January 10, 2018
Predictors and outcomes of patients requiring repeat transvenous lead extraction of pacemaker and defibrillator leadsSimon Claridge, Jonathan Johnson, Gazi Sadnan, et al.
JACC. Clinical Electrophysiology|July 21, 2018
Guidance for Optimal Site Selection of a Leadless Left Ventricular Endocardial Electrode Improves Acute Hemodynamic Response and Chronic RemodelingBenjamin J Sieniewicz, Jonathan M Behar, Justin Gould, et al.
Heart Rhythm|February 14, 2024
Enhancing transvenous lead extraction risk prediction: Integrating imaging biomarkers into machine learning modelsVishal S Mehta, YingLiang Ma, Nadeev Wijesuriya, et al.
European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery|November 8, 2022
Convergent ablation for persistent atrial fibrillation: outcomes from a single-centre real-world experienceNilanka N Mannakkara, Bradley Porter, Nicholas Child, et al.
Plos Computational Biology|June 26, 2023
Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulatorsMarina Strocchi, Stefano Longobardi, Christoph M Augustin, et al.
Computers in Biology and Medicine|October 1, 2021
Non-invasive simulated electrical and measured mechanical indices predict response to cardiac resynchronization therapyAngela W C Lee, Orod Razeghi, Jose Alonso Solis-Lemus, et al.
Pageof 24

Showing results (161-170 of 234) with videos related to

Sort By:
Pageof 24
Medical Image Analysis|June 16, 2023
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR imagesTareen Dawood, Chen Chen, Baldeep S Sidhu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 10, 2021
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response PredictionEsther Puyol-Antón, Chen Chen, James R Clough, et al.
Computers in Biology and Medicine|July 29, 2019
Generation of a cohort of whole-torso cardiac models for assessing the utility of a novel computed shock vector efficiency metric for ICD optimisationAnne-Marie Plancke, Adam Connolly, Philip M Gemmell, et al.
Scientific Reports|March 12, 2021
Hyperparameter optimisation and validation of registration algorithms for measuring regional ventricular deformation using retrospective gated computed tomography imagesOrod Razeghi, Mattias Heinrich, Thomas E Fastl, et al.
Pacing and Clinical Electrophysiology : PACE|January 10, 2018
Predictors and outcomes of patients requiring repeat transvenous lead extraction of pacemaker and defibrillator leadsSimon Claridge, Jonathan Johnson, Gazi Sadnan, et al.
JACC. Clinical Electrophysiology|July 21, 2018
Guidance for Optimal Site Selection of a Leadless Left Ventricular Endocardial Electrode Improves Acute Hemodynamic Response and Chronic RemodelingBenjamin J Sieniewicz, Jonathan M Behar, Justin Gould, et al.
Heart Rhythm|February 14, 2024
Enhancing transvenous lead extraction risk prediction: Integrating imaging biomarkers into machine learning modelsVishal S Mehta, YingLiang Ma, Nadeev Wijesuriya, et al.
European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery|November 8, 2022
Convergent ablation for persistent atrial fibrillation: outcomes from a single-centre real-world experienceNilanka N Mannakkara, Bradley Porter, Nicholas Child, et al.
Plos Computational Biology|June 26, 2023
Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulatorsMarina Strocchi, Stefano Longobardi, Christoph M Augustin, et al.
Computers in Biology and Medicine|October 1, 2021
Non-invasive simulated electrical and measured mechanical indices predict response to cardiac resynchronization therapyAngela W C Lee, Orod Razeghi, Jose Alonso Solis-Lemus, et al.
Pageof 24