Projects per year
Personal profile
Research interests
The focus of my research is the use of Machine Learning with data from multiple sources, such as images, patient history, EEG, etc. I'm currently working on the prediction of functional outcome from Stroke patients using the MrClean registry dataset.
specialisation
Computer Science, Machine Learning and Stroke
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Olabarriaga S.D.: e-science
van Altena, A., Ramos, L., Sales Barros, R. & Delgado Olabarriaga, S.
1/06/2016 → …
Project: Research
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Strijkers G.J.: Preclinical and Translational MRI
Caiti, G., Gottwald, L., Oudeman, J., Peper, E., Ramos, L., Schoormans, J., Zhang, Q., Strijkers, G., Coolen, B., Bakermans, A. J., Nelissen, J. & Schreurs, T.
17/02/2014 → …
Project: Research
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Zwinderman A.H.: Biostatistics
van Altena, A., Aufiero, S., van Barreveld, M., Csala, A., Datema, M., Gras, L., den Hartog, A., van den Hengel, R., van Iperen, E., Khan, H., Luirink, I., Ouwerkerk, W., Ramos, L., Snoeker, B., Vink, P., Wang, J., van Werkhoven, E., Zwinderman, K., Geskus, R. & Tanck, M.
1/06/2012 → 15/09/2017
Project: Research
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Clinical consequence of vessel perforations during endovascular treatment of acute ischemic stroke
on behalf of the MR CLEAN Registry Investigators, 1 Feb 2024, In: Neuroradiology. 66, 2, p. 237-247 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Association between thrombus composition and stroke etiology in the MR CLEAN Registry biobank
on behalf of the MR CLEAN Registry Investigators, May 2023, In: Neuroradiology. 65, 5, p. 933-943 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access5 Citations (Scopus) -
Combination of Radiological and Clinical Baseline Data for Outcome Prediction of Patients With an Acute Ischemic Stroke
Ramos, L. A., Os, H. V., Hilbert, A., Olabarriaga, S. D., Lugt, A. V. D., Roos, Y. B. W. E. M., Zwam, W. H. V., Walderveen, M. A. A. V., Ernst, M., Zwinderman, A. H., Strijkers, G. J., Majoie, C. B. L. M., Wermer, M. J. H. & Marquering, H. A., 1 Apr 2022, In: Frontiers in Neurology. 13, 809343.Research output: Contribution to journal › Article › Academic › peer-review
Open Access18 Citations (Scopus) -
Artificial intelligence in the prognostication and classification of cardiovascular diseases
Ramos, L. A., 2021, 266 p.Research output: PhD Thesis › Phd-Thesis - Research and graduation internal
Open Access -
Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?
Bleijendaal, H., Ramos, L. A., Lopes, R. R., Verstraelen, T. E., Baalman, S. W. E., Oudkerk Pool, M. D., Tjong, F. V. Y., Melgarejo-Meseguer, F. M., Gimeno-Blanes, F. J., Gimeno-Blanes, J. R., Amin, A. S., Winter, M. M., Marquering, H. A., Kok, W. E. M., Zwinderman, A. H., Wilde, A. A. M. & Pinto, Y. M., 1 Jan 2021, In: Heart Rhythm. 18, 1, p. 79-87 9 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access24 Citations (Scopus)