We automatically quantify patterns of normal cortical folding in the developing fetus from in
utero MR images (N= 80) over a wide gestational age (GA) range (21.7 to 38.9 weeks). This …

We propose an automated framework for predicting gestational age (GA) and
neurodevelopmental maturation of a fetus based on 3D ultrasound (US) brain image …

Most fetal brain MRI reconstruction algorithms rely only on brain tissue-relevant voxels of
low-resolution (LR) images to enhance the quality of inter-slice motion correction and image …

Studies about brain maturation aim at providing a better understanding of brain
development and links between brain changes and cognitive development. Such studies …

Recent advances in medical imaging are beginning to allow us to quantify brain tissue
maturation in the growing human brain prior to normal term age, and are beginning to shed …

The fetal cortical plate undergoes drastic morphological changes throughout early in utero
development that can be observed using magnetic resonance (MR) imaging. An accurate …

Segmentation is a critical step in analyzing the developing human fetal brain. There have
been vast improvements in automatic segmentation methods in the past several years, and …

The fetal cortical plate (CP) undergoes drastic morphological changes during the in utero
development. Therefore, CP growth and folding patterns are key indicator in the assessment …

Fetal magnetic resonance imaging (MRI) is a rapidly growing field of research for its
potential to study brain development in utero. However, in contrast to adult studies automatic …

Fetal Magnetic Resonance Imaging (MRI) helps in learning about fetal brain development
and has many advantages over ultrasound imaging technique. Such studies require …