Lucas Alexandre Ramos
Lucas Alexandre Ramos
Researcher - NHL Stenden
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 13, 809343, 2022
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, 771367, 2022
Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms. Front Neurol. 2018; 9: 784
HJA van Os, LA Ramos, A Hilbert, M van Leeuwen, MAA van Walderveen, ...
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
Convolutional Neural Networks For Automated Edema Segmentation in Patients With Intracerebral Hemorrhage
LA Ramos, DG van der Sluijs, IM Baharoglu, YB Roos, CB Majoie, ...
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