Low-Light Image Enhancement Based on Constraint Low-Rank Approximation Retinex Model. [PDF]
Li X +5 more
europepmc +1 more source
Human Pegivirus Encephalitis With Brain Detection and Response to Sofosbuvir Ledipasvir
ABSTRACT Human pegivirus (HPgV‐1) has been associated with severe encephalomyelitis in immunocompromised patients. Its neurological spectrum remains poorly defined. We report a slowly progressive encephalitis in a person living with well‐controlled HIV, characterized by white matter abnormalities and inflammatory cerebrospinal fluid (CSF). HPgV RNA was
Antoine Moulignier +3 more
wiley +1 more source
DepthLux: Employing Depthwise Separable Convolutions for Low-Light Image Enhancement. [PDF]
Balmez R +4 more
europepmc +1 more source
Low-Light Image Enhancement Based on Generative Adversarial Network. [PDF]
Abirami R N, Vincent P M DR.
europepmc +1 more source
Advancing Stroke Clinical Trials Using Community Engagement and Implementation Science Approaches
ABSTRACT Stroke clinical trials are essential for advancing stroke care but can face challenges with recruitment, retention, clinical relevance, and translation into real‐world practice. We propose that integrating community engagement and implementation science approaches into stroke trials can help address these needs.
Lesli E. Skolarus +2 more
wiley +1 more source
A hybrid framework for curve estimation based low light image enhancement. [PDF]
Jin Y +7 more
europepmc +1 more source
ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau +11 more
wiley +1 more source
DLFE-Net: Preserving Details and Removing Noise Using HVI Color Space for Low-Light Image Enhancement. [PDF]
He Z, Yuan X, Hao G, Wang W.
europepmc +1 more source
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
MSF-ACA: Low-Light Image Enhancement Network Based on Multi-Scale Feature Fusion and Adaptive Contrast Adjustment. [PDF]
Cheng Z, Wu Y, Tian F, Feng Z, Li Y.
europepmc +1 more source

