Lesion location across diagnostic regions in multiple sclerosis-Reference-Cited by-同舟云学术

Lesion location across diagnostic regions in multiple sclerosis

Published:2023 Issue: Volume:37 Page:103311
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Pongratz Viola^ORCID,Bussas Matthias,Schmidt Paul,Grahl Sophia,Gasperi Christiane,El Husseini Malek,Harabacz Laura,Pineker Viktor,Sepp Dominik,Grundl Lioba,Wiestler Benedikt,Kirschke Jan,Zimmer Claus,Berthele Achim,Hemmer Bernhard,Mühlau Mark

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging

Reference41 articles.

1. Advanced MRI and staging of multiple sclerosis lesions;Absinta;Nat Rev Neurol,2016

2. Clinical Correlations of Brain Lesion Location in Multiple Sclerosis: Voxel-Based Analysis of a Large Clinical Trial Dataset;Altermatt;Brain Topogr,2018

3. Incidental subcortical lesions identified on magnetic resonance imaging in the elderly. I. Correlation with age and cerebrovascular risk factors;Awad;Stroke,1986

4. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society;Benjamini;Series B (Methodological),1995

5. Safety and efficacy of the selective sphingosine 1-phosphate receptor modulator ozanimod in relapsing multiple sclerosis (RADIANCE): a randomised, placebo-controlled, phase 2 trial;Cohen;Lancet Neurol,2016

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mirror movements in multiple sclerosis -a clinical, electrophysiological, and imaging study;BMC Neurology;2024-09-06

2. Regression analyses and their particularities in observational studies;Deutsches Ärzteblatt international;2024-02-23

3. Differences in Brain Atrophy Pattern between People with Multiple Sclerosis and Systemic Diseases with Central Nervous System Involvement Based on Two-Dimensional Linear Measures;Journal of Clinical Medicine;2024-01-06

4. LST-AI: A deep learning ensemble for accurate MS lesion segmentation;NeuroImage: Clinical;2024

5. LST-AI: a Deep Learning Ensemble for Accurate MS Lesion Segmentation;2023-11-24