Javier Rasero

Assistant Professor

University of Virginia

United States

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About

Javier Rasero is an Assistant Professor at the University of Virginia, USA. His research areas encompass neuroimaging, brain connectivity, and psychological stress, with recent articles addressing the relationship between brain activity and cardiovascular reactivity, as well as advancements in artificial intelligence for medical decision-making. His work also explores the neurogenetics of functional connectivity alterations and the evolutionary dynamics of antibiotic resistance.

Articles (14)

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2025

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2023

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2022

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2020

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2020

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2020

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2020

Collaborators (10)

Sara Sommariva

Assistant Professor (RTDA)

Università degli Studi di Torino

ITALY

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Giovanni Di Pino

Assistant Professor of Human Physiology

Università Campus Bio-Medico di Roma

ITALY

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Daniele Marinazzo

Full professor

Ghent University

BELGIUM

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GORKA PEREZYARZA

Head of Department

University of the Basque Country

SPAIN

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Jesus M Cortes

Research Professor

University of the Basque Country

SPAIN

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Jil Meier

Charité - Universitätsmedizin Berlin

GERMANY

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Paolo Belardinelli

University of Tübingen

GERMANY

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Aintzane Asumendi

Senior Lecturer

University of the Basque Country

SPAIN

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Santos Alonso

University of the Basque Country

SPAIN

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Rosa Izu Belloso

Chief of Department

Hospital de Basurto

SPAIN

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Javier Rasero

Research Interests

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Articles (14)

Stressor‐Evoked Brain Activity, Cardiovascular Reactivity, and Subclinical Atherosclerosis in Midlife Adults

Resting-State Functional Connectivity Does Not Predict Individual Differences in Perceived Psychological Stress Among Midlife Adults: Evidence From a Preregistered Cross-Validation Study

Similarity in evoked responses does not imply similarity in macroscopic network states

Melanoma Clinical Decision Support System: An Artificial Intelligence-Based Tool to Diagnose and Predict Disease Outcome in Early-Stage Melanoma Patients

The Neurogenetics of Functional Connectivity Alterations in Autism: Insights From Subtyping in 657 Individuals

The impact of ROI extraction method for MEG connectivity estimation: Practical recommendations for the study of resting state data.

Pre- and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling

Multivariate Brain Activity while Viewing and Reappraising Affective Scenes Does Not Predict the Multiyear Progression of Preclinical Atherosclerosis in Otherwise Healthy Midlife Adults

The roles of history, chance, and natural selection in the evolution of antibiotic resistance

Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability

BRAF V600E mutational load as a prognosis biomarker in malignant melanoma

Affective brain patterns as multivariate neural correlates of cardiovascular disease risk

Serum markers improve current prediction of metastasis development in early‐stage melanoma patients: a machine learning‐based study

RKIP Regulates Differentiation-Related Features in Melanocytic Cells

Collaborators (10)

Sara Sommariva

Giovanni Di Pino

Daniele Marinazzo

GORKA PEREZYARZA

Jesus M Cortes

Jil Meier

Paolo Belardinelli

Aintzane Asumendi

Santos Alonso

Rosa Izu Belloso

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