Maria Deprez

7 Tesla fMRI characterisation of the cortical-depth-dependentBOLD response in early human development

This study uses 7 Tesla fMRI to examine BOLD responses in newborns and adults, showing depth-dependent changes in cortical activity related to development.

Autism spectrum disorder common variants associated with regional lobe volume variations at birth: cross-sectional study in 273 European term neonates in developing Human Connectome Project

This study links ASD common genetic variants to regional brain volume differences in newborns, finding positive associations with frontal and fronto-temporal volumes and negative associations with parietal and parieto-occipital volumes.

The developing Human Connectome Project fetal functional MRI release: Methods and data structures

The paper describes the release of a large fetal fMRI dataset and presents methods for its preprocessing and analysis to study in utero brain connectivity.

Dynamic changes in subplate and cortical plate microstructure precede the onset of cortical folding in vivo

The paper examines microstructural changes in fetal brain compartments before cortical folding begins, finding that anisotropy decreases in subplate and cortical plate regions prior to sulcal pit formation.

BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI

The paper introduces a deep learning pipeline for automated fetal brain segmentation and volumetry, showing reduced need for manual refinement and agreement with manual segmentations in clinical cases.

Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21-36 weeks GA range

This paper proposes an automated pipeline for reconstructing fetal thorax MRI from motion-corrupted stacks across 21-36 weeks GA, using 3D CNNs and landmark-guided pose estimation.

Predicting age and clinical risk from the neonatal connectome

This paper uses machine learning to predict neonatal brain age and clinical risk from structural connectomes, finding thalamocortical connections are key predictors of developmental outcomes.

3D MRI atlases of congenital aortic arch anomalies and normal fetal heart: application to automated multi-label segmentation

The paper creates 3D MRI atlases of normal and abnormal fetal aortic arch anatomy and evaluates deep learning for automated multi-label segmentation.

Multi-channel 4D parametrized Atlas of Macro- and Microstructural Neonatal Brain Development

This paper develops a multi-channel 4D atlas of neonatal brain development combining structural and diffusion MRI data, showing microstructural differences between term and preterm infants.

Harmonised segmentation of neonatal brain MRI

This paper applies unsupervised domain adaptation techniques to segment neonatal brain MRI data from a preterm population, improving segmentation accuracy and enabling analysis of cortical thickness and language outcomes.

Higher order spherical harmonics reconstruction of fetal diffusion MRI with intensity correction

This paper introduces a method for fetal diffusion MRI reconstruction with intensity correction, enabling detailed analysis of brain connectivity and microstructure in-utero.

Segmentation of Myelin-like Signals on Clinical MR Images for Age Estimation in Preterm Infants

This paper develops a segmentation method for myelin-like signals on T2-weighted MRI to estimate gestational age in preterm infants using manual annotations and an expectation-maximization framework.

The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction

The paper introduces a fully automated pipeline for neonatal cortical surface reconstruction from MRI, achieving high accuracy in 85% of cases.