Results 51 to 60 of about 1,853,771 (271)
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source
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
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
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
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
Which Finger is the Best for Finger Vein Recognition?
, 2016 Finger vein recognition is a biometric method utilizing the vein patterns inside one's fingers for personal identification. Every user has 10 fingers in total, among which the index fingers and middle fingers from left and right hands are the most ...
Liao Ni +9 more
core +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