Improving electrocardiogram-based detection of rare genetic heart disease using transfer learning: An application to Phospholamban p. Arg14del mutation carriers RR Lopes, H Bleijendaal, LA Ramos, TE Verstraelen, AS Amin, ... Computers in Biology and Medicine, 104262, 2021 | 36 | 2021 |
Value of machine learning in predicting TAVI outcomes RR Lopes, MS van Mourik, EV Schaft, LA Ramos, J Baan Jr, J Vendrik, ... Netherlands Heart Journal, 1-6, 2019 | 33 | 2019 |
Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p. Arg14del mutation on the electrocardiogram? H Bleijendaal, LA Ramos, RR Lopes, TE Verstraelen, SWE Baalman, ... Heart Rhythm 18 (1), 79-87, 2021 | 32 | 2021 |
A morphology based deep learning model for atrial fibrillation detection using single cycle electrocardiographic samples SWE Baalman, FE Schroevers, AJ Oakley, TF Brouwer, W van der Stuijt, ... International journal of cardiology 316, 130-136, 2020 | 32 | 2020 |
Parkinson’s disease identification using restricted boltzmann machines CR Pereira, LA Passos, RR Lopes, SAT Weber, C Hook, JP Papa International Conference on Computer Analysis of Images and Patterns, 70-80, 2017 | 16 | 2017 |
Patient-tailored contrast delivery protocols for computed tomography coronary angiography: lower contrast dose and better image quality TPW Van Den Boogert, RR Lopes, NHJ Lobe, TA Verwest, J Stoker, ... Journal of thoracic imaging 36 (6), 353-359, 2021 | 10 | 2021 |
Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques SWE Baalman, RR Lopes, LA Ramos, J Neefs, AHG Driessen, ... Diagnostics 11 (10), 1787, 2021 | 7 | 2021 |
Machine learning for predicting mortality in transcatheter aortic valve implantation: an inter-center cross validation study M Mamprin, RR Lopes, JM Zelis, PAL Tonino, MS van Mourik, MM Vis, ... Journal of cardiovascular development and disease 8 (6), 65, 2021 | 7 | 2021 |
Local and distributed machine learning for inter-hospital data utilization: an application for TAVI outcome prediction RR Lopes, M Mamprin, J Zelis, PAL Tonino, M van Mourik, MM Vis, ... Frontiers in cardiovascular medicine, 1559, 2021 | 5 | 2021 |
Inter-center cross-validation and finetuning without patient data sharing for predicting transcatheter aortic valve implantation outcome RR Lopes, M Mamprin, JM Zelis, PAL Tonino, MS Van Mourik, MM Vis, ... 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020 | 3 | 2020 |
Temporal validation of 30-day mortality prediction models for transcatheter aortic valve implantation using statistical process control – An observational study in a national … RR Lopes, TTR Yordanov, ACJ Ravelli, S Houterman, M Vis, ... Heliyon, 2023 | 1 | 2023 |
An integrated approach to geographic validation helped scrutinize prediction model performance and its variability TR Yordanov, RR Lopes, ACJ Ravelli, M Vis, S Houterman, H Marquering, ... Journal of Clinical Epidemiology 157, 13-21, 2023 | 1 | 2023 |
On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification RR Lopes, KAP Costa, JP Papa IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 117-125, 2016 | 1 | 2016 |
Thrombus Imaging Characteristics to Predict Early Recanalization in Anterior Circulation Large Vessel Occlusion Stroke N Arrarte Terreros, J Stolp, AAE Bruggeman, ISJ Swijnenburg, RR Lopes, ... Journal of Cardiovascular Development and Disease 11 (4), 107, 2024 | | 2024 |
Development and validation of machine learning models in cardiology R Ricci Lopes | | 2023 |
Machine learning-based prediction of insufficient contrast enhancement in coronary computed tomography angiography RR Lopes, TPW Van den Boogert, NHJ Lobe, TA Verwest, JPS Henriques, ... European Radiology 32 (10), 7136-7145, 2022 | | 2022 |
Aprendizado de máquina baseado em tensores e suas aplicações para floresta de caminhos ótimos RR Lopes Universidade Estadual Paulista (UNESP), 2015 | | 2015 |