Background Diagnostic classification of diffuse gliomas now requires an assessment of
molecular features, often including IDH-mutation and 1p19q-codeletion status. Because …

Aligning brain structures across individuals is a central prerequisite for comparative
neuroimaging studies. Typically, registration approaches assume a strong association …

Meningiomas are associated with inactivation of NF2/Merlin, but approximately one-third of
meningiomas with favorable clinical outcomes retain Merlin expression. Biochemical …

Background: Impairment of odor discrimination (D), identification (I), and threshold (T) are
characteristic features of multiple sclerosis (MS). Objective: To identify patterns of gray …

In this paper, we present a deep learning method, DDMReg, for accurate registration
between diffusion MRI (dMRI) datasets. In dMRI registration, the goal is to spatially align …

Structural brain imaging provides a critical framework for performing stereotactic and
intraoperative MRI-guided surgical procedures, with procedural efficacy often dependent …

Nonrigid registration is vital to medical image analysis but remains challenging for diffusion
MRI (dMRI) due to its high-dimensional, orientation-dependent nature. While classical …

Background Differentiating treatment-induced injury from recurrent high-grade glioma is an
ongoing challenge in neuro-oncology, in part due to lesion heterogeneity. This study aimed …

The goal of this research was to elucidate the relationship between WHO 2016 molecular
classifications of newly diagnosed, nonenhancing lower grade gliomas (LrGG), tissue …

Background Monitoring lower-grade gliomas (LrGGs) for disease progression is made
difficult by the limits of anatomical MRI to distinguish treatment related tissue changes from …