Results 101 to 110 of about 99,927 (260)
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
Comparing polysomnography auto scoring with the standard of care in sleep medicine
BACKGROUND: Manual polysomnography is considered as the gold-standard for diagnosis of sleep disorders. However, it is a labor intensive and time-consuming task and is being replaced by automated sleep scoring systems. METHODS: This cross-sectional study
Faris Alhejaili
doaj +1 more source
On the Possibility of Automated Scoring of Pollen Mutants
Both flow cytometry and automated image analysis techniques may be useful in relieving the drudgery, increasing the speed, and adding quantitation to the scoring of pollen mutants, but practical problems related to the detection of very rare events have to be overcome.
openaire +2 more sources
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Using convolutional neural networks to automatically score eight TIMSS 2019 graphical response items
International large-scale assessments (ILSAs) have used graphical response-based items to measure student ability for decades, but they have yet to implement automated scoring of these responses and instead rely on human scoring alone. To investigate how
Lillian Tyack +2 more
doaj +1 more source
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source
Automated scoring of nematode nictation on a textured background. [PDF]
McClanahan PD +3 more
europepmc +1 more source
Automated Pop-to-A Cappella Score Generation
A significant number of research has explored the co-creation and automated generation of symbolic music across various genres. In this work, we investigate the potential for a comprehensive, automated system that transforms polyphonic pop music into six-part a cappella sheet music, featuring a lead vocal line, SATB harmonies, and vocal percussion ...
Tak-ai Lam, Wing-fung Lo, Chuck-jee Chau
openaire +1 more source
What's the score? Automated Denoising Score Matching for Nonlinear Diffusions
Reversing a diffusion process by learning its score forms the heart of diffusion-based generative modeling and for estimating properties of scientific systems. The diffusion processes that are tractable center on linear processes with a Gaussian stationary distribution.
Raghav Singhal +2 more
openaire +3 more sources
ABSTRACT Choroid plexus volume (CPV) has been proposed as a neuro‐immunological marker of multiple sclerosis (MS), but its relevance in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD) remains uncertain. We analyzed CPV in 43 individuals with MOGAD, 48 with MS, and 44 healthy controls using a Bayesian Gaussian mixture modeling ...
Jae‐Won Hyun +4 more
wiley +1 more source

