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researcher

Virginia Mato‐Abad

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.SE1
ORCID 0000-0001-7161-4382

identity via Semantic Scholar / OpenAlex

most citedRandom Forest-Based Prediction of Stroke Outcome

135 citations · 207 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2024★ 135 cited

Random Forest-Based Prediction of Stroke Outcome

Carlos Fernandez-Lozano, Pablo Hervella, Virginia Mato-Abad +9

We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques…

cs.LG2024★ 21 cited

Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques

V Mato-Abad, A Labiano-Fontcuberta, S Rodriguez-Yanez +9

Background and purpose: The unanticipated detection by magnetic resonance imaging (MRI) in the brain of asymptomatic subjects of white matter lesions suggestive of multiple scleros…

cs.SE2024★ 51 cited

ASAP (Automatic Software for ASL Processing): A toolbox for processing Arterial Spin Labeling images

Virginia Mato Abad, Pablo Garcia-Polo, Owen ODaly +2

The method of Arterial Spin Labeling (ASL) has experienced a significant rise in its application to functional imaging, since it is the only technique capable of measuring blood pe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.