Results 101 to 110 of about 5,260,341 (313)
Sex Representation in US Stroke Clinical Trials: A Decade of Trends and Challenges
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Stroke remains a major cause of disability and mortality in the US, with significant sex‐based disparities, and females remain underrepresented in stroke clinical trials. We aimed to examine sex representation in US‐based stroke clinical trials, identify trial characteristics associated with higher female enrollment (≥ 50%), and ...
Chaitali Dagli +5 more
wiley +1 more source
Semi-Coupled Convolutional Sparse Learning for Image Super-Resolution
Remote Sensing, 2019 In the convolutional sparse coding-based image super-resolution problem, the coefficients of low- and high-resolution images in the same position are assumed to be equivalent, which enforces an identical structure of low- and high-resolution images ...
Lingling Li +5 more
doaj +1 more source
Natural scene statistics mediate the perception of image complexity [PDF]
, 2014 Humans are sensitive to complexity and regularity in patterns. The subjective perception of pattern complexity is correlated to algorithmic (Kolmogorov-Chaitin) complexity as defined in computer science, but also to the frequency of naturally occurring ...
Gauvrit, Nicolas +2 more
core +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT The Clinical Assessment Scale in Autoimmune Encephalitis (CASE) tracks disease severity in autoimmune encephalitis (AE), but no threshold for significant change exists. We aimed to determine the minimally clinically important difference (MCID) for CASE.
Yihui Goh +8 more
wiley +1 more source
Change Detection in Remote Sensing Images Based on Image Mapping and a Deep Capsule Network
Remote Sensing, 2019 Homogeneous image change detection research has been well developed, and many methods have been proposed. However, change detection between heterogeneous images is challenging since heterogeneous images are in different domains.
Wenping Ma +5 more
doaj +1 more source
[18F]Fluorodeprenyl‐D2 PET as a Tool to Monitor Disease Activity in GAD65‐Ab Autoimmune Encephalitis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate [18F]fluorodeprenyl‐D2 ([18F]F‐DED) positron‐emission tomography (PET) imaging as a biomarker of disease activity in autoimmune encephalitis (AIE) associated with glutamic acid decarboxylase 65 (GAD65) antibodies. Methods [18F]F‐DED PET was performed in 25 GAD65‐AIE patients and 8 controls using dynamic (0–60 min) and ...
Julia S. Dorneich +19 more
wiley +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
Event-driven figure-ground organisation model for the humanoid robot iCub
Nature CommunicationsFigure-ground organisation is a perceptual grouping mechanism for detecting objects and boundaries, essential for an agent interacting with the environment.
Giulia D’Angelo +5 more
doaj +1 more source
Fully Dense Multiscale Fusion Network for Hyperspectral Image Classification
Remote Sensing, 2019 The convolutional neural network (CNN) can automatically extract hierarchical feature representations from raw data and has recently achieved great success in the classification of hyperspectral images (HSIs).
Zhe Meng +5 more
doaj +1 more source