A review on automatic fetal and neonatal brain MRI segmentation
In recent years, a variety of segmentation methods have been proposed for automatic
delineation of the fetal and neonatal brain MRI. These methods aim to define regions of …
delineation of the fetal and neonatal brain MRI. These methods aim to define regions of …
Automatic whole brain MRI segmentation of the developing neonatal brain
A Makropoulos, IS Gousias, C Ledig… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Magnetic resonance (MR) imaging is increasingly being used to assess brain growth and
development in infants. Such studies are often based on quantitative analysis of anatomical …
development in infants. Such studies are often based on quantitative analysis of anatomical …
Bayesian model selection for pathological neuroimaging data applied to white matter lesion segmentation
CH Sudre, MJ Cardoso, WH Bouvy… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
In neuroimaging studies, pathologies can present themselves as abnormal intensity
patterns. Thus, solutions for detecting abnormal intensities are currently under investigation …
patterns. Thus, solutions for detecting abnormal intensities are currently under investigation …
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images
The human cerebellum plays an essential role in motor control, is involved in cognitive
function (ie, attention, working memory, and language), and helps to regulate emotional …
function (ie, attention, working memory, and language), and helps to regulate emotional …
A Review of AI techniques using MRI Brain Images for Alzheimer's disease detection
The development of an efficient medical image processing technique to detect Alzheimer's
disease in the early stages will be an important medical method practitioners. Image …
disease in the early stages will be an important medical method practitioners. Image …
Neonatal brain tissue classification with morphological adaptation and unified segmentation
Measuring the distribution of brain tissue types (tissue classification) in neonates is
necessary for studying typical and atypical brain development, such as that associated with …
necessary for studying typical and atypical brain development, such as that associated with …
Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly
Numerous brain disorders are associated with ventriculomegaly, including both neuro-
degenerative diseases and cerebrospinal fluid disorders. Detailed evaluation of the …
degenerative diseases and cerebrospinal fluid disorders. Detailed evaluation of the …
Subject-specific sparse dictionary learning for atlas-based brain MRI segmentation
Quantitative measurements from segmentations of human brain magnetic resonance (MR)
images provide important biomarkers for normal aging and disease progression. In this …
images provide important biomarkers for normal aging and disease progression. In this …
A patch-based approach for the segmentation of pathologies: application to glioma labelling
N Cordier, H Delingette… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we describe a novel and generic approach to address fully-automatic
segmentation of brain tumors by using multi-atlas patch-based voting techniques. In addition …
segmentation of brain tumors by using multi-atlas patch-based voting techniques. In addition …
AdaPT: an adaptive preterm segmentation algorithm for neonatal brain MRI
Advances in neonatal care have improved the survival of infants born prematurely although
these infants remain at increased risk of adverse neurodevelopmental outcome. The …
these infants remain at increased risk of adverse neurodevelopmental outcome. The …