The brain white matter consists of a set of tracts that connect distinct...
Quality control (QC) has long been considered essential to guarantee the...
The development of automatic segmentation techniques for medical imaging...
Quantitative analysis of in utero human brain development is crucial for...
Superresolution T2-weighted fetal-brain magnetic-resonance imaging (FBMR...
This paper focuses on the uncertainty estimation for white matter lesion...
Creating large annotated datasets represents a major bottleneck for the
...
Distributional shift, or the mismatch between training and deployment da...
Purpose: To investigate aspects of the validation of self-supervised
alg...
The current multiple sclerosis (MS) diagnostic criteria lack specificity...
Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful...
The quantitative assessment of the developing human brain in utero is cr...
Accurate characterization of in utero human brain maturation is critical...
Supervised segmentation algorithms yield state-of-the-art results for
au...
It is critical to quantitatively analyse the developing human fetal brai...
The fetal cortical plate undergoes drastic morphological changes through...
The automated detection of cortical lesions (CLs) in patients with multi...
In this work, we present a comparison of a shallow and a deep learning
a...