Magnetic resonance imaging is widely available and accepted as the imaging method of
choice for many pediatric body imaging applications. Traditionally, it has been used in a …

Following the success of deep learning in a wide range of applications, neural network-
based machine-learning techniques have received significant interest for accelerating …

Diffusion-weighted MRI (DW-MRI) has been increasingly used in imaging neuroscience
over the last decade. An early form of this technique, diffusion tensor imaging (DTI) was …

Microstructure imaging from diffusion magnetic resonance (MR) data represents an
invaluable tool to study non-invasively the morphology of tissues and to provide a biological …

Abstract The Human Connectome Project (HCP) relies primarily on three complementary
magnetic resonance (MR) methods. These are: 1) resting state functional MR imaging …

Perhaps more than any other “-omics” endeavor, the accuracy and level of detail obtained
from mapping the major connection pathways in the living human brain with diffusion MRI …

Validation is arguably the bottleneck in the diffusion magnetic resonance imaging (MRI)
community. This paper evaluates and compares 20 algorithms for recovering the local intra …

This work is the result of more than 10 years of research in the area of MRI from a signal and
noise perspective. Our interest has always been to properly model the noise that affects our …

The promise of compressive sensing, exploitation of compressibility to achieve high quality
image reconstructions with less data, has attracted a great deal of attention in the medical …

Navigated transcranial magnetic stimulation (nTMS) has developed into a reliable non-
invasive clinical and scientific tool over the past decade. Specifically, it has undergone …