output
20142026
most citedAssessing Technical Performance in Differential Gene Expression Experiments with External Spike-in RNA Control Ratio Mixtures

139 citations

11 papers

cs.CV2026

Deep Learning Pose Estimation for Multi-Label Recognition of Combined Hyperkinetic Movement Disorders

Laura Cif, Diane Demailly, Gabriella A. Horvàth +15

Hyperkinetic movement disorders (HMDs) such as dystonia, tremor, chorea, myoclonus, and tics are disabling motor manifestations across childhood and adulthood. Their fluctuating, i…

eess.IV2025★ 3 cited

Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction

Thomas Sanchez, Vladyslav Zalevskyi, Angeline Mihailov +7

Quality control (QC) has long been considered essential to guarantee the reliability of neuroimaging studies. It is particularly important for fetal brain MRI, where acquisitions a…

cs.CY2024★ 16 cited

A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence

José Alberto Benítez-Andrades, Tania Fernández-Villa, Carmen Benavides +3

The COVID-19 pandemic has meant that young university students have had to adapt their learning and have a reduced relational context. Adversity contexts build models of human beha…

eess.IV2023★ 15 cited

FetMRQC: a robust quality control system for multi-centric fetal brain MRI

Thomas Sanchez, Oscar Esteban, Yvan Gomez +8

Fetal brain MRI is becoming an increasingly relevant complement to neurosonography for perinatal diagnosis, allowing fundamental insights into fetal brain development throughout ge…

eess.IV2023★ 8 cited

FetMRQC: Automated Quality Control for fetal brain MRI

Thomas Sanchez, Oscar Esteban, Yvan Gomez +2

Quality control (QC) has long been considered essential to guarantee the reliability of neuroimaging studies. It is particularly important for fetal brain MRI, where large and unpr…

cs.CV2020★ 14 cited

Handling confounding variables in statistical shape analysis -- application to cardiac remodelling

Gabriel Bernardino, Oualid Benkarim, María Sanz-de la Garza +7

Statistical shape analysis is a powerful tool to assess organ morphologies and find shape changes associated to a particular disease. However, imbalance in confounding factors, suc…