Results 91 to 100 of about 528,580 (282)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi +9 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +15 more
wiley +1 more source
IET Computer Vision, 2019 The image fusion method based on sparse representation in the single‐scale image domain has produced better fusion results than the classic methods based on multi‐scale analysis nowadays.
Guiqing He +4 more
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Face recognition algorithm based on cascade sparse representation-based classifier
Gong-kuang zidonghua, 2014 For problem of high complexity, slow identification of algorithm based on sparse representation-based classifier, the paper proposed face recognition algorithm based on cascade sparse representation-based classifier.
YANG Yu
doaj +1 more source
Sparse representations, inference and learning
Journal of Statistical Mechanics: Theory and ExperimentAbstract In recent years statistical physics has proven to be a valuable tool to probe into large dimensional inference problems such as the ones occurring in machine learning. Statistical physics provides analytical tools to study fundamental limitations in their solutions and proposes algorithms to solve individual instances.
Lauditi, Clarissa +2 more
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Arthritis Care &Research, EarlyView.Objective We aimed to validate the Pediatric Arthritis Ultrasound Scoring System (PAUSS) for upper extremity joints in children with juvenile idiopathic arthritis (JIA). Methods Children with JIA were evaluated for elbow, wrist, or finger arthritis by clinical examination (CE) and musculoskeletal ultrasound (MSUS) with images scored according to the ...
Patricia Vega‐Fernandez +12 more
wiley +1 more source
Automatic Face Recognition Based on Sparse Representation and Extended Transfer Learning
IEEE Access, 2019 Sparse representation has exhibited excellent performance in face recognition. However, this method requires some areas for improvement, especially on insufficient face samples.
Zhi Liu +5 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective We developed a novel electronic health record sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
Data separation by sparse representations [PDF]
, 2012 Recently, sparsity has become a key concept in various areas of applied mathematics, computer science, and electrical engineering. One application of this novel methodology is the separation of data, which is composed of two (or more) morphologically distinct constituents. The key idea is to carefully select representation systems each providing sparse
openaire +2 more sources