Results 151 to 160 of about 2,238,851 (367)

Neural network parametrization of deep-inelastic structure functions [PDF]

, 2002
Stefano Forte, L. Garrido, José I. Latorre, Andrea Piccione   +3 more
openalex   +1 more source

Cervical Spinal Cord Magnetization Transfer Ratio and Its Relationship With Clinical Outcomes in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The cervical spinal cord (cSC) is highly relevant to clinical dysfunction in multiple sclerosis (MS) but remains understudied using quantitative magnetic resonance imaging (MRI). We assessed magnetization transfer ratio (MTR), a semi‐quantitative MRI measure sensitive to MS‐related tissue microstructural changes, in the cSC and its ...
Lisa Eunyoung Lee, Julien Cohen‐Adad, Irene M. Vavasour, Melanie Guenette, Katherine Sawicka, Neda Rashidi‐Ranjbar, Nathan Churchill, Akash Chopra, Adelia Adelia, Pierre‐Louis Benveniste, Anthony Traboulsee, Nathalie Arbour, Fabrizio Giuliani, Larry D. Lynd, Scott B. Patten, Alexandre Prat, Alice Schabas, Penelope Smyth, Roger Tam, Yunyan Zhang, Simon J. Graham, Mojgan Hodaie, Anthony Feinstein, Shannon Kolind, Tom A. Schweizer, Jiwon Oh, CanProCo Study Group   +26 more
wiley   +1 more source

Texture and art with deep neural networks

Current Opinion in Neurobiology, 2017
Although the study of biological vision and computer vision attempt to understand powerful visual information processing from different angles, they have a long history of informing each other. Recent advances in texture synthesis that were motivated by visual neuroscience have led to a substantial advance in image synthesis and manipulation in ...
Gatys, L., Ecker, A., Bethge, M.
openaire   +5 more sources

Molecular Screening of SCN1A‐Related Seizures in Children With Febrile Seizures: Diagnostic Yield and Variant Distribution

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SCN1A‐related seizures first present as febrile seizures (FS). Definitive features emerge later, making early diagnosis challenging. We evaluated the diagnostic yield and clinical characteristics of pathogenic SCN1A variants in FS, and analyzed the effect of variant characteristics on clinical phenotypes required for early ...
Jia Wang, Yang‐Yang Wang, Lin‐Yan Hu, Xiu‐Yu Shi, Wen He, Dan Sun, Baoguang Li, Xiaoming Liu, Sanqing Xu, Lijun Du, Chunhui Tang, Li‐Ping Zou   +11 more
wiley   +1 more source

Neural network modelling of RC deep beam shear strength [PDF]

, 2008
Keun–Hyeok Yang, Ashraf Ashour, Jincheng Song, E.-T. Lee   +3 more
openalex   +1 more source

Timing and Predictive Value of Clinical Conditions Preceding Multiple Sclerosis in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Multiple sclerosis (MS) patients often experience a higher incidence of clinical conditions before diagnosis, suggesting a prodromal phase. However, their predictive value and temporal trajectories remain underexplored. We investigated these aspects using the large UK Biobank's population‐based cohort, which provided clinical ...
Andrea Nova, Teresa Fazia, Giovanni Di Caprio, Davide Gentilini, Luisa Bernardinelli, Roberto Bergamaschi   +5 more
wiley   +1 more source

Deep auto-encoder neural networks in reinforcement learning [PDF]

, 2010
Sascha Lange, Martin Riedmiller
openalex   +1 more source

Pruning and Quantization for Deep Neural Network Acceleration: A Survey [PDF]

Neurocomputing, 2021
Tailin Liang, C. Glossner, Lei Wang, Shaobo Shi   +3 more
semanticscholar   +1 more source

Longitudinal Relationship Between Pain and Depression in People With Inflammatory Arthritis: A Narrative Review

Arthritis Care &Research, EarlyView.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox, Saeed Farooq, Helen Twohig, Ian C. Scott   +3 more
wiley   +1 more source

Deep neural network model for group activity recognition using contextual relationship

Engineering Science and Technology, an International Journal, 2019
In this paper, we present contextual relationship-based learning model using deep neural network for recognizing the activities performed by a group of people in a video sequence.
S.A. Vahora, N.C. Chauhan
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