Structural hippocampal abnormalities are common in many neurological and psychiatric
disorders, and variation in hippocampal measures is related to cognitive performance and …

Abstract Accurate segmentation of 2-D, 3-D, and 4-D medical images to isolate anatomical
objects of interest for analysis is essential in almost any computer-aided diagnosis system or …

The human thalamus is a brain structure that comprises numerous, highly specific nuclei.
Since these nuclei are known to have different functions and to be connected to different …

Automated analysis of MRI data of the subregions of the hippocampus requires
computational atlases built at a higher resolution than those that are typically used in current …

The amygdala is composed of multiple nuclei with unique functions and connections in the
limbic system and to the rest of the brain. However, standard in vivo neuroimaging tools to …

In this paper we present a method to segment four brainstem structures (midbrain, pons,
medulla oblongata and superior cerebellar peduncle) from 3D brain MRI scans. The …

We propose a nonparametric, probabilistic model for the automatic segmentation of medical
images, given a training set of images and corresponding label maps. The resulting …

Recent developments in MRI data acquisition technology are starting to yield images that
show anatomical features of the hippocampal formation at an unprecedented level of detail …

MRI is a sensitive method for detecting subtle anatomic abnormalities in the neonatal brain.
To optimize the usefulness for neonatal and pediatric care, systematic research, based on …

The hippocampal formation is a complex, heterogeneous structure that consists of a number
of distinct, interacting subregions. Atrophy of these subregions is implied in a variety of …