Dec 11, 2023 · Magnetic resonance imaging (MRI) plays a pivotal role in assessing treatment response by providing insights into disease activity and clinical progression.

Apr 16, 2024 · This study indicates that MRI can be used to predict the cognitive decline, disability progression, and disease progression in MS patients over time.

Mar 16, 2024 · NLDR requires far fewer images to train than DL-based methods. This work investigates how NLDR techniques can be used to identify active MS lesions.

Jan 11, 2024 · We aimed to evaluate a machine learning model based on radiomics features in predicting progression on MR imaging of the brain in individuals with MS.

Nov 16, 2023 · We used AO-OCT imaging in a pilot study of MS participants (n = 10), including those without and with a history of optic neuritis (ON, n = 4), and healthy ...

Aug 15, 2024 · Such accurate a... View · Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis. Article. Full-text available.

Sep 27, 2023 · These biomarkers are detectable by Quantitative Susceptibility Mapping (QSM), an advanced Magnetic Resonance Imaging technique detecting magnetic properties.

May 24, 2024 · Multiple sclerosis (MS) diagnosis typically involves assessing clinical symptoms, MRI findings, and ruling out alternative explanations.

May 21, 2024 · FDR correction was performed for all tests between the different dimensions and one variable or a set of closely related variables (i.e. age at MS onset, age ...

Jan 24, 2024 · We propose a deep learning algorithm for creating Voxel-Guided Morphometry (VGM) maps from longitudinal MRI brain volumes for analyzing MS disease activity.