Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge
Accurate segmentation of infant brain magnetic resonance (MR) images into white matter
(WM), gray matter (GM), and cerebrospinal fluid is an indispensable foundation for early …
(WM), gray matter (GM), and cerebrospinal fluid is an indispensable foundation for early …
Eye gaze in autism spectrum disorder: a review of neural evidence for the eye avoidance hypothesis
Reduced eye contact early in life may play a role in the developmental pathways that
culminate in a diagnosis of autism spectrum disorder. However, there are contradictory …
culminate in a diagnosis of autism spectrum disorder. However, there are contradictory …
[图书][B] Deep learning for medical image analysis
Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for
academic and industry researchers and graduate students taking courses on machine …
academic and industry researchers and graduate students taking courses on machine …
Self-supervised learning with application for infant cerebellum segmentation and analysis
Accurate tissue segmentation is critical to characterize early cerebellar development in the
first two postnatal years. However, challenges in tissue segmentation arising from tightly …
first two postnatal years. However, challenges in tissue segmentation arising from tightly …
Multi-site infant brain segmentation algorithms: the iSeg-2019 challenge
To better understand early brain development in health and disorder, it is critical to
accurately segment infant brain magnetic resonance (MR) images into white matter (WM) …
accurately segment infant brain magnetic resonance (MR) images into white matter (WM) …
Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects
approximately 1% of the population and causes significant burdens. ASD's pathogenesis …
approximately 1% of the population and causes significant burdens. ASD's pathogenesis …
[HTML][HTML] Review on deep learning fetal brain segmentation from Magnetic Resonance images
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 …
for many clinical applications, including fetal imaging. Different aspects challenge the …
Brain connectivity based graph convolutional networks and its application to infant age prediction
Infancy is a critical period for the human brain development, and brain age is one of the
indices for the brain development status associated with neuroimaging data. The difference …
indices for the brain development status associated with neuroimaging data. The difference …
White matter myelination during early infancy is linked to spatial gradients and myelin content at birth
Abstract Development of myelin, a fatty sheath that insulates nerve fibers, is critical for brain
function. Myelination during infancy has been studied with histology, but postmortem data …
function. Myelination during infancy has been studied with histology, but postmortem data …
Existence of functional connectome fingerprint during infancy and its stability over months
The functional connectome fingerprint is a cluster of individualized brain functional
connectivity patterns that are capable of distinguishing one individual from others. Although …
connectivity patterns that are capable of distinguishing one individual from others. Although …