VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
Segmentation of key brain tissues from 3D medical images is of great significance for brain
disease diagnosis, progression assessment and monitoring of neurologic conditions. While�…
disease diagnosis, progression assessment and monitoring of neurologic conditions. While�…
Multi-atlas segmentation of biomedical images: a survey
JE Iglesias, MR Sabuncu�- Medical image analysis, 2015 - Elsevier
Abstract Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming�…
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming�…
Early brain development in infants at high risk for autism spectrum disorder
Brain enlargement has been observed in children with autism spectrum disorder (ASD), but
the timing of this phenomenon, and the relationship between ASD and the appearance of�…
the timing of this phenomenon, and the relationship between ASD and the appearance of�…
Quicksilver: Fast predictive image registration–a deep learning approach
This paper introduces Quicksilver, a fast deformable image registration method. Quicksilver
registration for image-pairs works by patch-wise prediction of a deformation model based�…
registration for image-pairs works by patch-wise prediction of a deformation model based�…
[HTML][HTML] Linked dimensions of psychopathology and connectivity in functional brain networks
Neurobiological abnormalities associated with psychiatric disorders do not map well to
existing diagnostic categories. High co-morbidity suggests dimensional circuit-level�…
existing diagnostic categories. High co-morbidity suggests dimensional circuit-level�…
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
This study investigates a 3D and fully convolutional neural network (CNN) for subcortical
brain structure segmentation in MRI. 3D CNN architectures have been generally avoided�…
brain structure segmentation in MRI. 3D CNN architectures have been generally avoided�…
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development
The human brain undergoes extensive and dynamic growth during the first years of life. The
UNC/UMN Baby Connectome Project (BCP), one of the Lifespan Connectome Projects�…
UNC/UMN Baby Connectome Project (BCP), one of the Lifespan Connectome Projects�…
[HTML][HTML] A global multicohort study to map subcortical brain development and cognition in infancy and early childhood
The human brain grows quickly during infancy and early childhood, but factors influencing
brain maturation in this period remain poorly understood. To address this gap, we�…
brain maturation in this period remain poorly understood. To address this gap, we�…
Maternal systemic interleukin-6 during pregnancy is associated with newborn amygdala phenotypes and subsequent behavior at 2 years of age
Background Maternal inflammation during pregnancy increases the risk for offspring
psychiatric disorders and other adverse long-term health outcomes. The influence of�…
psychiatric disorders and other adverse long-term health outcomes. The influence of�…
Subcortical brain development in autism and fragile X syndrome: evidence for dynamic, age-and disorder-specific trajectories in infancy
Objective: Previous research has demonstrated that the amygdala is enlarged in children
with autism spectrum disorder (ASD). However, the precise onset of this enlargement during�…
with autism spectrum disorder (ASD). However, the precise onset of this enlargement during�…