Deep learning in medical image analysis
This review covers computer-assisted analysis of images in the field of medical imaging.
Recent advances in machine learning, especially with regard to deep learning, are helping …
Recent advances in machine learning, especially with regard to deep learning, are helping …
MRI segmentation of the human brain: challenges, methods, and applications
I Despotović, B Goossens… - … mathematical methods in …, 2015 - Wiley Online Library
Image segmentation is one of the most important tasks in medical image analysis and is
often the first and the most critical step in many clinical applications. In brain MRI analysis …
often the first and the most critical step in many clinical applications. In brain MRI analysis …
HyperDense-Net: a hyper-densely connected CNN for multi-modal image segmentation
Recently, dense connections have attracted substantial attention in computer vision
because they facilitate gradient flow and implicit deep supervision during training …
because they facilitate gradient flow and implicit deep supervision during training …
Automatic segmentation of MR brain images with a convolutional neural network
Automatic segmentation in MR brain images is important for quantitative analysis in large-
scale studies with images acquired at all ages. This paper presents a method for the …
scale studies with images acquired at all ages. This paper presents a method for the …
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction
Abstract The Developing Human Connectome Project (dHCP) seeks to create the first 4-
dimensional connectome of early life. Understanding this connectome in detail may provide …
dimensional connectome of early life. Understanding this connectome in detail may provide …
Fully convolutional networks for multi-modality isointense infant brain image segmentation
The segmentation of infant brain tissue images into white matter (WM), gray matter (GM),
and cerebrospinal fluid (CSF) plays an important role in studying early brain development. In …
and cerebrospinal fluid (CSF) plays an important role in studying early brain development. In …
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 …
Neural histology and neurogenesis of the human fetal and infant brain
The human brain develops slowly and over a long period of time which lasts for almost three
decades. This enables good spatio-temporal resolution of histogenetic and neurogenetic …
decades. This enables good spatio-temporal resolution of histogenetic and neurogenetic …
Dynamic development of regional cortical thickness and surface area in early childhood
Cortical thickness (CT) and surface area (SA) are altered in many neuropsychiatric disorders
and are correlated with cognitive functioning. Little is known about how these components of …
and are correlated with cognitive functioning. Little is known about how these components of …
A structural MRI study of human brain development from birth to 2 years
RC Knickmeyer, S Gouttard, C Kang… - Journal of …, 2008 - Soc Neuroscience
Brain development in the first 2 years after birth is extremely dynamic and likely plays an
important role in neurodevelopmental disorders, including autism and schizophrenia …
important role in neurodevelopmental disorders, including autism and schizophrenia …