| Predicting outcome of endovascular treatment for acute ischemic stroke: potential value of machine learning algorithms HJA Van Os, LA Ramos, A Hilbert, M Van Leeuwen, ... Frontiers in neurology 9, 784, 2018 | 99 | 2018 |
| Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke A Hilbert, LA Ramos, HJA van Os, SD Olabarriaga, ML Tolhuisen, ... Computers in biology and medicine 115, 103516, 2019 | 56 | 2019 |
| Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage Journal of NeuroInterventional Surgery LA Ramos, WE van der Steen, RS Barros, CBLM Majoie, R van den Berg, ... Journal of NeuroInterventional Surgery, 2018 | 40* | 2018 |
| 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 | 26 | 2020 |
| 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 27, 443-450, 2019 | 24 | 2019 |
| Predicting poor outcome before endovascular treatment in patients with acute ischemic stroke LA Ramos, M Kappelhof, HJA Van Os, V Chalos, K Van Kranendonk, ... Frontiers in neurology 11, 580957, 2020 | 21 | 2020 |
| 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 | 19 | 2021 |
| 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 131, 104262, 2021 | 18 | 2021 |
| Predicting mortality of individual patients with COVID-19: a multicentre Dutch cohort MC Ottenhoff, LA Ramos, W Potters, MLF Janssen, D Hubers, S Hu, ... BMJ open 11 (7), e047347, 2021 | 13 | 2021 |
| qTICI: Quantitative assessment of brain tissue reperfusion on digital subtraction angiograms of acute ischemic stroke patients H Prasetya, LA Ramos, T Epema, KM Treurniet, BJ Emmer, ... International journal of stroke 16 (2), 207-216, 2021 | 10 | 2021 |
| Quantitative analysis of EEG reactivity for neurological prognostication after cardiac arrest MM Admiraal, LA Ramos, SD Olabarriaga, HA Marquering, J Horn, ... Clinical Neurophysiology 132 (9), 2240-2247, 2021 | 8 | 2021 |
| Evolutionary algorithms and decision trees for predicting poor outcome after endovascular treatment for acute ischemic stroke N Kappelhof, LA Ramos, M Kappelhof, HJA van Os, V Chalos, ... Computers in Biology and Medicine 133, 104414, 2021 | 8 | 2021 |
| Predicting Success of a Digital Self-Help Intervention For Alcohol and Substance Use With Machine Learning LA Ramos, M Blankers, GA van Wingen, T de Bruijn, SC Pauws, ... Frontiers in Psychology, 3931, 2021 | 7 | 2021 |
| Predicting delayed cerebral ischemia with quantified aneurysmal subarachnoid blood volume WE van der Steen, HA Marquering, AMM Boers, LA Ramos, ... World neurosurgery 130, e613-e619, 2019 | 7 | 2019 |
| Prediction of outcome using quantified blood volume in aneurysmal SAH WE Van Der Steen, HA Marquering, LA Ramos, R van den Berg, BA Coert, ... American Journal of Neuroradiology 41 (6), 1015-1021, 2020 | 6 | 2020 |
| 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 | 4 | 2021 |
| Association of ischemic core imaging biomarkers with post-thrombectomy clinical outcomes in the MR CLEAN registry MS Koopman, JW Hoving, M Kappelhof, OA Berkhemer, LFM Beenen, ... Frontiers in Neurology 12, 2376, 2022 | 3 | 2022 |
| Combination of radiological and clinical baseline data for outcome prediction of patients with an acute ischemic stroke LA Ramos, H Os, A Hilbert, SD Olabarriaga, A Lugt, YB Roos, WH Zwam, ... Frontiers in Neurology, 602, 2022 | 2 | 2022 |
| A deep learning model to predict outcome after thoracoscopic surgery for atrial fibrillation using single beat electrocardiographic samples SW Baalman, LA Ramos, RR Lopes, W Van Der Stuijt, H Bleijendaal, ... Circulation 140 (Suppl_1), A15889-A15889, 2019 | 1 | 2019 |
| Shape analysis using multiscale hough transform statistics LA Ramos, GB de Souza, AN Marana Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2015 | 1 | 2015 |
