In this paper we report the set-up and results of the Multimodal Brain Tumor Image
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 …

Objective: In both diagnostic and research applications, the interpretation of MR images of
the human brain is facilitated when different data sets can be compared by visual inspection …

All fields of neuroscience that employ brain imaging need to communicate their results with
reference to anatomical regions. In particular, comparative morphometry and group analysis …

After conception and implementation of any new medical image processing algorithm,
validation is an important step to ensure that the procedure fulfils all requirements set forth at the …

Spatial normalization, registration, and segmentation techniques for Magnetic Resonance
Imaging (MRI) often use a target or template volume to facilitate processing, take advantage of …

Recently, there has been a rapid growth in the use of 3D multi-modal correlative imaging for
studies of the human brain. Regional cerebral blood flow (CBF) changes indicate brain …

Structural maturation of fiber tracts in the human brain, including an increase in the diameter
and myelination of axons, may play a role in cognitive development during childhood and …

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 …

Purpose: To adapt the so‐called nonlocal means filter to deal with magnetic resonance (MR)
images with spatially varying noise levels (for both Gaussian and Rician distributed noise). …

Three-dimensional (3-D) ultrasound (US) is an emerging new technology with numerous
clinical applications. Ultrasound probe calibration is an obligatory step to build 3-D volumes …