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Ricardo R Lopes

Showing results (1-10 of 10) with videos related to

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Journal of Clinical Epidemiology|February 23, 2023
An integrated approach to geographic validation helped scrutinize prediction model performance and its variabilityTsvetan R Yordanov, Ricardo R Lopes, Anita C J Ravelli, et al.
Heliyon|July 24, 2023
Temporal validation of 30-day mortality prediction models for transcatheter aortic valve implantation using statistical process control - An observational study in a national populationRicardo R Lopes, Tsvetan T R Yordanov, Anita A C J Ravelli, et al.
Journal of Thoracic Imaging|July 16, 2021
Patient-tailored Contrast Delivery Protocols for Computed Tomography Coronary Angiography: Lower Contrast Dose and Better Image QualityThomas P W van den Boogert, Ricardo R Lopes, Nick H J Lobe, et al.
Computers in Biology and Medicine|February 19, 2021
Improving electrocardiogram-based detection of rare genetic heart disease using transfer learning: An application to phospholamban p.Arg14del mutation carriersRicardo R Lopes, Hidde Bleijendaal, Lucas A Ramos, et al.
Journal of Cardiovascular Development and Disease|July 2, 2021
Machine Learning for Predicting Mortality in Transcatheter Aortic Valve Implantation: An Inter-Center Cross Validation StudyMarco Mamprin, Ricardo R Lopes, Jo M Zelis, et al.
Diagnostics (Basel, Switzerland)|October 23, 2021
Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning TechniquesSarah W E Baalman, Ricardo R Lopes, Lucas A Ramos, et al.
Frontiers in Cardiovascular Medicine|December 6, 2021
Local and Distributed Machine Learning for Inter-hospital Data Utilization: An Application for TAVI Outcome PredictionRicardo R Lopes, Marco Mamprin, Jo M Zelis, et al.
International Journal of Cardiology|April 22, 2020
A morphology based deep learning model for atrial fibrillation detection using single cycle electrocardiographic samplesSarah W E Baalman, Florian E Schroevers, Abel J Oakley, et al.
Heart Rhythm|September 10, 2020
Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?Hidde Bleijendaal, Lucas A Ramos, Ricardo R Lopes, et al.
Journal of Cardiovascular Development and Disease|April 26, 2024
Thrombus Imaging Characteristics to Predict Early Recanalization in Anterior Circulation Large Vessel Occlusion StrokeNerea Arrarte Terreros, Jeffrey Stolp, Agnetha A E Bruggeman, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Journal of Clinical Epidemiology|February 23, 2023
An integrated approach to geographic validation helped scrutinize prediction model performance and its variabilityTsvetan R Yordanov, Ricardo R Lopes, Anita C J Ravelli, et al.
Heliyon|July 24, 2023
Temporal validation of 30-day mortality prediction models for transcatheter aortic valve implantation using statistical process control - An observational study in a national populationRicardo R Lopes, Tsvetan T R Yordanov, Anita A C J Ravelli, et al.
Journal of Thoracic Imaging|July 16, 2021
Patient-tailored Contrast Delivery Protocols for Computed Tomography Coronary Angiography: Lower Contrast Dose and Better Image QualityThomas P W van den Boogert, Ricardo R Lopes, Nick H J Lobe, et al.
Computers in Biology and Medicine|February 19, 2021
Improving electrocardiogram-based detection of rare genetic heart disease using transfer learning: An application to phospholamban p.Arg14del mutation carriersRicardo R Lopes, Hidde Bleijendaal, Lucas A Ramos, et al.
Journal of Cardiovascular Development and Disease|July 2, 2021
Machine Learning for Predicting Mortality in Transcatheter Aortic Valve Implantation: An Inter-Center Cross Validation StudyMarco Mamprin, Ricardo R Lopes, Jo M Zelis, et al.
Diagnostics (Basel, Switzerland)|October 23, 2021
Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning TechniquesSarah W E Baalman, Ricardo R Lopes, Lucas A Ramos, et al.
Frontiers in Cardiovascular Medicine|December 6, 2021
Local and Distributed Machine Learning for Inter-hospital Data Utilization: An Application for TAVI Outcome PredictionRicardo R Lopes, Marco Mamprin, Jo M Zelis, et al.
International Journal of Cardiology|April 22, 2020
A morphology based deep learning model for atrial fibrillation detection using single cycle electrocardiographic samplesSarah W E Baalman, Florian E Schroevers, Abel J Oakley, et al.
Heart Rhythm|September 10, 2020
Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?Hidde Bleijendaal, Lucas A Ramos, Ricardo R Lopes, et al.
Journal of Cardiovascular Development and Disease|April 26, 2024
Thrombus Imaging Characteristics to Predict Early Recanalization in Anterior Circulation Large Vessel Occlusion StrokeNerea Arrarte Terreros, Jeffrey Stolp, Agnetha A E Bruggeman, et al.
Pageof 1