In his original paper on random forests, Breiman proposed two different decision tree ensembles:
one generated from “orthogonal” trees with thresholds on individual features in every …

Purpose We introduce and validate a scalable retrospective motion correction technique for
brain imaging that incorporates a machine learning component into a model‐based motion …

Background Intra‐scan rigid‐body motion is a costly and ubiquitous problem in clinical
magnetic resonance imaging (MRI) of the head. Purpose State‐of‐the‐art methods for …

Purpose To demonstrate a navigator/tracking‐free retrospective motion estimation technique
that facilitates clinically acceptable reconstruction time. Methods Scout accelerated motion …

Background and Purpose: Brain magnetic resonance imaging (MRI) examinations using
high-resolution 3D post-contrast sequences offer increased sensitivity for the detection of …

Purpose To develop a robust retrospective motion‐correction technique based on repeating
k‐space guidance lines for improving motion correction in Cartesian 2D and 3D brain MRI. …

Objectives High-resolution post-contrast T1-weighted imaging is a workhorse sequence in
the evaluation of neurological disorders. The T1-MPRAGE sequence has been widely …

Purpose Volumetric, high‐resolution, quantitative mapping of brain‐tissue relaxation properties
is hindered by long acquisition times and SNR challenges. This study combines time‐…

The pursuit of ever higher field strengths and faster data acquisitions has led to the
construction of coil arrays with high numbers of elements. With the sensitivity encoding (SENSE) …

Background and Purpose High‐resolution three‐dimensional (3D) post‐contrast imaging of
the brain is essential for comprehensive evaluation of inflammatory, neoplastic, and …