In brain morphometry studies using magnetic resonance imaging, several scans with a
range of contrasts are often collected. The images may be locally distorted due to imperfect …

While reducing the burden of brain disorders remains a top priority of organizations like the
World Health Organization and National Institutes of Health, the development of novel, safe …

We present a technique for automatically assigning a neuroanatomical label to each voxel in
an MRI volume based on probabilistic information automatically estimated from a manually …

We introduce a novel method of prospectively compensating for subject motion in neuroanatomical
imaging. Short three‐dimensional echo‐planar imaging volumetric navigators are …

The study of neuroanatomy using imaging enables key insights into how our brains function,
are shaped by genes and environment, and change with development, aging and disease. …

We present a technique for automatically assigning a neuroanatomical label to each location
on a cortical surface model based on probabilistic information estimated from a manually …

We present a set of techniques for embedding the physics of the imaging process that
generates a class of magnetic resonance images (MRIs) into a segmentation or registration …

The original Human Connectome Project yielded a rich data set on structural and functional
connectivity in a large sample of healthy young adults using improved methods of data …

Imaging biomarkers derived from magnetic resonance imaging (MRI) data are used to quantify
normal development, disease, and the effects of disease-modifying therapies. However, …

In vivo MRI-derived measurements of human cerebral cortex thickness are providing novel
insights into normal and abnormal neuroanatomy, but little is known about their reliability. We …