Brain segmentation is often the first and most critical step in quantitative analysis of the brain
for many clinical applications, including fetal imaging. Different aspects challenge the …

Artificial intelligence (AI) is defined as the development of computer systems to perform tasks
normally requiring human intelligence. A subset of AI, known as machine learning (ML) …

In-utero fetal MRI is emerging as an important tool in the diagnosis and analysis of the
developing human brain. Automatic segmentation of the developing fetal brain is a vital step …

Human fetal brains show regionally different temporal patterns of sulcal emergence
following a regular timeline, which may be associated with spatiotemporal patterns of gene …

Normal cortical growth and the resulting folding patterns are crucial for normal brain
function. Although cortical development is largely influenced by genetic factors …

Accurate characterization of in utero human brain maturation is critical as it involves complex
and interconnected structural and functional processes that may influence health later in life …

The accurate prediction of fetal brain age using magnetic resonance imaging (MRI) may
contribute to the identification of brain abnormalities and the risk of adverse developmental …

The magnetic resonance (MR) images of fetuses make it possible for doctors to detect out
pathological fetal brains in early stages. Brain tissue segmentation is prerequisite for making …

Accurate measurement of brain structures is essential for the evaluation of neonatal brain
growth and development. The conventional methods use manual segmentation to measure …

BACKGROUND AND PURPOSE: While the adverse neurodevelopmental effects of prenatal
opioid exposure on infants and children in the United States are well described, the …