Artificial intelligence-aided assignment of journal submissions to associate editors-a feasibility study on IEEE transactions on medical imaging. [PDF]
Xu X +5 more
europepmc +1 more source
Network Localization of Fatigue in Multiple Sclerosis
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source
Adaptive fusion based deep learning framework for restoring underwater image quality using multi scale attention features. [PDF]
Veeramakali T, Sayeed MS, Yogarayan S.
europepmc +1 more source
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela +13 more
wiley +1 more source
Single photon event-driven 3D imaging. [PDF]
Vicente Sola A +3 more
europepmc +1 more source
The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley +1 more source
Automatic bone age assessment: a deep learning case study on the Brazilian population with a supporting mobile application prototype. [PDF]
Teodoro RDA +6 more
europepmc +1 more source
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source
Ensemble deep learning approach for traffic video analytics in edge computing. [PDF]
Sathyamoorthy M +3 more
europepmc +1 more source
Post‐COVID Fatigue Is Associated With Reduced Cortical Thickness After Hospitalization
ABSTRACT Objective Neuropsychiatric symptoms are among the most prevalent sequelae of COVID‐19, particularly among hospitalized patients. Recent research has identified volumetric brain changes associated with COVID‐19. However, it currently remains poorly understood how brain changes relate to post‐COVID fatigue and cognitive deficits.
Tim J. Hartung +190 more
wiley +1 more source

