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Drug and Alcohol Dependence|September 18, 2024
Predicting cannabis use moderation among a sample of digital self-help subscribers: A machine learning studyMarleen I A Olthof, Lucas A Ramos, Margriet W van Laar, et al.
Frontiers in Psychology|September 23, 2021
Predicting Success of a Digital Self-Help Intervention for Alcohol and Substance Use With Machine LearningLucas A Ramos, Matthijs Blankers, Guido van Wingen, 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.
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.
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.
World Neurosurgery|July 2, 2019
Predicting Delayed Cerebral Ischemia with Quantified Aneurysmal Subarachnoid Blood VolumeWessel E van der Steen, Henk A Marquering, Anna M M Boers, et al.
Frontiers in Neurology|April 18, 2022
Combination of Radiological and Clinical Baseline Data for Outcome Prediction of Patients With an Acute Ischemic StrokeLucas A Ramos, Hendrikus van Os, Adam Hilbert, et al.
Frontiers in Neurology|October 16, 2018
Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning AlgorithmsHendrikus J A van Os, Lucas A Ramos, Adam Hilbert, 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.
International Journal of Stroke : Official Journal of the International Stroke Society|February 27, 2020
qTICI: Quantitative assessment of brain tissue reperfusion on digital subtraction angiograms of acute ischemic stroke patientsHaryadi Prasetya, Lucas A Ramos, Thabiso Epema, et al.
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