Results 31 to 40 of about 126,420 (251)
Concatenated Attention Neural Network for Image Restoration
CoRR, 2020 In this paper, we present a general framework for low-level vision tasks including image compression artifacts reduction and image denoising. Under this framework, a novel concatenated attention neural network (CANet) is specifically designed for image restoration.
Yingjie Tian 0001 +3 more
openaire +2 more sources
Brain SciencesBackground: Evidence-based design aims to create healthy environments grounded in scientific data, yet the influence of spatial qualities on cognitive processes remains underexplored.
Nathalie Gerner +3 more
doaj +1 more source
The Differential Impact of Mystery in Nature on Attention: An Oculometric Study
Frontiers in Psychology, 2021 Nature exposure can provide benefits on stress, health and cognitive performance. According to Attention Restoration Theory (ART), the positive impact of nature on cognition is mainly driven by fascination.
Alexandre Marois +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
wiley +1 more source
Image Restoration via Deep Memory-Based Latent Attention Network
IEEE Access, 2020 Deep convolutional neural network (CNN) has made impressive achievements in the field of image restoration. However, most of deep CNN-based models have limited capability of utilizing the hierarchical features and these features are often treated equally,
Xinyan Zhang +5 more
doaj +1 more source
Cross-Scale KNN Image Transformer for Image Restoration
IEEE Access, 2023 Numerous image restoration approaches have been proposed based on attention mechanism, achieving superior performance to convolutional neural networks (CNNs) based counterparts.
Hunsang Lee +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa +7 more
wiley +1 more source
Effects of virtual exposure to urban greenways on mental health
Frontiers in PsychiatryUrban greenways (UGW) are increasingly recognized as vital components of urban green infrastructure (UGI). While existing research has provided empirical evidence on the positive impacts of UGW on physical health, studies focusing on the effects on ...
Xiangrong Jiang +7 more
doaj +1 more source
Split-Attention Multiframe Alignment Network for Image Restoration
IEEE Access, 2020 Image registration (or image alignment), the problem of aligning multiple images with relative displacement, is a crucial step in many multiframe image restoration algorithms. To solve the problem that most existing image registration approaches can only
Yongyi Yu +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Juvenile xanthogranuloma (JXG) of the central nervous system (CNS) is a rare non‐Langerhans cell histiocytosis. CSF1R mutations have been reported for peripheral JXG, but not in CNS JXG. A 3‐month‐old male presented with fever, lymphadenopathy, and macrocephaly with bulging fontanelles.
Sima Vazquez +8 more
wiley +1 more source