Multi-atlas segmentation provides a general purpose, fully-automated approach for
transferring spatial information from an existing dataset (“atlases”) to a previously unseen …

Is there a common structural and functional cortical architecture that can be quantitatively
encoded and precisely reproduced across individuals and populations? This question is still …

To date, label fusion methods have primarily relied either on global [eg, simultaneous truth
and performance level estimation (STAPLE), globally weighted vote] or voxelwise (eg …

Although agreement between the annotators who mark feature locations within images has
been studied in the past from a statistical viewpoint, little work has attempted to quantify the …

The recent development of motion robust super-resolution fetal brain MRI holds out the
potential for dramatic new advances in volumetric and morphometric analysis. Volumetric …

We present a new algorithm, called local MAP STAPLE, to estimate from a set of multi-label
segmentations both a reference standard segmentation and spatially varying performance …

The spinal cord is an essential and vulnerable component of the central nervous system.
Differentiating and localizing the spinal cord internal structure (ie, gray matter vs. white …

Background Functional dysconnectivity has been proposed as a major pathophysiological
mechanism for cognitive dysfunction in schizophrenia. The hippocampus is a focal point of …

In this paper, we propose a new prostate computed tomography (CT) segmentation method
for image guided radiation therapy. The main contributions of our method lie in the following …

Background Learning and memory are impaired in schizophrenia. Some theories have
proposed that one form of memory, habituation, is particularly impaired. Preliminary …