Publications by authors named "Lucas A Ramos"

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Predicting cannabis use moderation among a sample of digital self-help subscribers: A machine learning study.
Marleen I A Olthof, Lucas A Ramos, Margriet W van Laar, Anna E Goudriaan, Matthijs Blankers

Drug Alcohol Depend· November 2024

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Combination of Radiological and Clinical Baseline Data for Outcome Prediction of Patients With an Acute Ischemic Stroke.
Lucas A Ramos, Hendrikus van Os, Adam Hilbert, Silvia D Olabarriaga, Aad van der Lugt

Front Neurol· April 2022

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Predicting Success of a Digital Self-Help Intervention for Alcohol and Substance Use With Machine Learning.
Lucas A Ramos, Matthijs Blankers, Guido van Wingen, Tamara de Bruijn, Steffen C Pauws

Front Psychol· September 2021

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Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques.
Sarah W E Baalman, Ricardo R Lopes, Lucas A Ramos, Jolien Neefs, Antoine H G Driessen

Diagnostics (Basel)· September 2021

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Predicting mortality of individual patients with COVID-19: a multicentre Dutch cohort.
Maarten C Ottenhoff, Lucas A Ramos, Wouter Potters, Marcus L F Janssen, Deborah Hubers

BMJ Open· July 2021

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Improving electrocardiogram-based detection of rare genetic heart disease using transfer learning: An application to phospholamban p.Arg14del mutation carriers.
Ricardo R Lopes, Hidde Bleijendaal, Lucas A Ramos, Tom E Verstraelen, Ahmad S Amin

Comput Biol Med· April 2021

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qTICI: Quantitative assessment of brain tissue reperfusion on digital subtraction angiograms of acute ischemic stroke patients.
Haryadi Prasetya, Lucas A Ramos, Thabiso Epema, Kilian M Treurniet, Bart J Emmer

Int J Stroke· February 2021

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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, Tom E Verstraelen, Sarah W E Baalman

Heart Rhythm· January 2021

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A morphology based deep learning model for atrial fibrillation detection using single cycle electrocardiographic samples.
Sarah W E Baalman, Florian E Schroevers, Abel J Oakley, Tom F Brouwer, Willeke van der Stuijt, Lucas A Ramos

Int J Cardiol· October 2020

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Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke.
Lucas A Ramos, Manon Kappelhof, Hendrikus J A van Os, Vicky Chalos, Katinka Van Kranendonk

Front Neurol· October 2020

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Predicting Delayed Cerebral Ischemia with Quantified Aneurysmal Subarachnoid Blood Volume.
Wessel E van der Steen, Henk A Marquering, Anna M M Boers, Lucas A Ramos, René van den Berg

World Neurosurg· October 2019

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Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage.
Lucas Alexandre Ramos, Wessel E van der Steen, Renan Sales Barros, Charles B L M Majoie, Rene van den Berg

J Neurointerv Surg· May 2019

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Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms.
Hendrikus J A van Os, Lucas A Ramos, Adam Hilbert, Matthijs van Leeuwen, Marianne A A van Walderveen

Front Neurol· September 2018

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