output
20202026
most citedFetMRQC: a robust quality control system for multi-centric fetal brain MRI

15 citations

7 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…

cs.CV2025

Enhancing Corpus Callosum Segmentation in Fetal MRI via Pathology-Informed Domain Randomization

Marina Grifell i Plana, Vladyslav Zalevskyi, Léa Schmidt +6

Accurate fetal brain segmentation is crucial for extracting biomarkers and assessing neurodevelopment, especially in conditions such as corpus callosum dysgenesis (CCD), which can…

cs.CV2025★ 4 cited

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge

Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp +67

Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI an…

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…

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…