Results 51 to 60 of about 1,853,766 (270)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec +6 more
wiley +1 more source
the Finger Vein Recognition Using Deep Learning Technique
Wasit Journal of Computer and Mathematics Science, 2022 Finger vein biometrics have gained a lot of attention in recent years because they offer the perfect balance of security and economic viability, with advantages such as being the least susceptible to identity theft because veins are present beneath the ...
Sahar Wahab khadim +2 more
doaj +1 more source
Analysis of Master Vein Attacks on Finger Vein Recognition Systems
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Accepted to be Published in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV ...
Huy H. Nguyen +3 more
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
Finger-Vein Image Enhancement Based on Pulse Coupled Neural Network
IEEE Access, 2019 As a promising biometric technique, the finger-vein image recognition has seen a recent surge of interest. However, the collected finger-vein images are often degraded seriously because of various vein patterns, uneven illumination, and unsatisfied ...
Lei Lei, Feng Xi, Shengyao Chen
doaj +1 more source
IEEE Access, 2020 Among the existing biometrics methods, finger-vein recognition is beneficial because finger-veins patterns are locate under the skin and thus difficult to forge. Moreover, user convenience is high because non-invasive image capturing devices are used for
Jiho Choi +5 more
doaj +1 more source
Artificial Neural Networks for Finger Vein Recognition: A Survey
, 2022 Finger vein recognition is an emerging biometric recognition technology. Different from the other biometric features on the body surface, the venous vascular tissue of the fingers is buried deep inside the skin.
Li, Chen +6 more
core
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Finger Vein Recognition Algorithm Using Phase Only Correlation. [PDF]
, 2010 In this paper, we propose an algorithm for finger vein recognition with less complexity in the image preprocessing phase, where finger vein pattern extraction is not included at ...
Mahri, Nurhafizah +2 more
core +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source