Results 161 to 170 of about 1,314,055 (250)
Artificial intelligence has the potential to enhance clinical decision making, but complex black box models can be difficult to interpret and trust. Explainable artificial intelligence methods aim to open the black box by highlighting which features are driving the model's prediction.
Sophie A. Martin +7 more
wiley +1 more source
Dynamic causal modelling of working memory fMRI in individuals with Neurofibromatosis Type 1 (NF1) revealed altered frontoparietal connectivity. NF1 participants showed increased endogenous self‐connectivity in left dlPFC and IPG. During working memory, NF1 participants showed increased self‐connectivity in left vlPFC but decreased self‐connectivity in
Marta C. Litwińczuk +3 more
wiley +1 more source
ABSTRACT Background The loss of smell (anosmia) has been noted in numerous diseases, including COVID‐19. Inflammatory and microstructural alterations are possible underlying mechanisms of anosmia in COVID‐19. However, no atlas exists to study olfaction and the associated tissue property changes.
Marta Gaviraghi +17 more
wiley +1 more source
Abstract Purpose To demonstrate the feasibility and performance of whole‐brain blood oxygen level–dependent functional MRI (fMRI) in humans at 10.5 T by combining motion‐robust three‐dimensional gradient‐echo echo‐planar imaging, parallel transmission, and high‐density radiofrequency (RF) receive coils.
Shuxian Qu +15 more
wiley +1 more source
This work proposes OAM‐encoded CNN based on cascaded on‐chip OAM converters and multiplexers. The footprint of inverse‐designed converters is 5 μm × 4 μm and the maximum conversion efficiency of OAM reaches 88%. The OAM‐encoded optical CNN was built using this device, achieving 98.0% accuracy on MNIST and 86.1% accuracy on Fashion‐MNIST classification.
Yumeng Chen +4 more
wiley +1 more source
Information Entropy of Biometric Data in a Recurrent Neural Network with Low Connectivity. [PDF]
Dominguez-Carreta D +4 more
europepmc +1 more source
ABSTRACT Autistic individuals exhibit differences in Theory of Mind (ToM) compared to neurotypical (NT) individuals. The aim of this study was to meta‐analyse the neural correlates that contributed to the manifestation of the expression differences in ToM between autistic individuals and the NT population.
Hanran Li +5 more
wiley +1 more source
Building the connectome of a small brain with a simple stochastic developmental generative model. [PDF]
Richter O, Schneidman E.
europepmc +1 more source
Assessing the Mixing Quality of Hetero‐Aggregates: Applying Mixing Theory to STEM‐EDX Elemental Maps
This study introduces a quantitative method to assess the mixing quality of carbon black‐silica hetero‐aggregates formed in spray flames. Using STEM‐EDX mapping and concepts from mixing theory, the approach characterizes intra‐ and inter‐aggregate homogeneity and particle clustering, enabling precise, composition‐independent evaluation of hetero ...
Simon Buchheiser +4 more
wiley +1 more source
High Precision Speech Keyword Spotting Based on Binary Deep Neural Network in FPGA. [PDF]
Zhang A, Shi J, Qian H, Wang J.
europepmc +1 more source

