AIMC Topic: Diffusion

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MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.

Magnetic resonance in medicine Aug 2, 2019
PURPOSE: To develop a machine learning approach using convolutional neural network for reducing MRI Gibbs-ringing artifact.
Signal Processing, Computer-Assisted Machine Learning Algorithms Diffusion Humans Brain Neoplasms Brain Neural Networks, Computer Artifacts Neuroimaging Image Processing, Computer-Assisted Signal-To-Noise Ratio Phantoms, Imaging Connectome Knee Diffusion Magnetic Resonance Imaging
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Single-Particle Diffusion Characterization by Deep Learning.

Biophysical journal Jun 22, 2019
Diffusion plays a crucial role in many biological processes including signaling, cellular organization, transport mechanisms, and more. Direct observation of molecular movement by single-particle-tracking experiments has contributed to a growing body...
Single Molecule Imaging Deep Learning Models, Biological Diffusion Computer Simulation
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Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption.

Neural networks : the official journal of the International Neural Network Society Apr 4, 2019
In this paper, we study stochastic impulsive reaction-diffusion neural networks with S-type distributed delays, aiming to obtain the sufficient conditions for global exponential stability. First, an impulsive inequality involving infinite delay is in...
Humans Diffusion Pattern Recognition, Automated Computer Security Neural Networks, Computer Algorithms Time Factors Stochastic Processes
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Passivity analysis of delayed reaction-diffusion memristor-based neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 29, 2018
This paper discusses the passivity of delayed reaction-diffusion memristor-based neural networks (RDMNNs). By exploiting inequality techniques and by constructing appropriate Lyapunov functional, several sufficient conditions are obtained in the form...
Algorithms Diffusion Neural Networks, Computer
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Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling.

Neural networks : the official journal of the International Neural Network Society Sep 5, 2018
In this paper, global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay is investigated. First, by choosing suitable variable substitution, the inertial memristive neural networks are transfor...
Nonlinear Dynamics Neural Networks, Computer Algorithms Time Factors Diffusion
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Pinning impulsive synchronization for stochastic reaction-diffusion dynamical networks with delay.

Neural networks : the official journal of the International Neural Network Society Aug 1, 2018
This paper considers the problem of the asymptotic synchronization in mean square for stochastic reaction-diffusion complex dynamical networks with infinite delay driven by the Wiener processes in the infinite dimensional space under the pinning impu...
Stochastic Processes Algorithms Time Factors Neural Networks, Computer Diffusion
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Soft tissue deformation modelling through neural dynamics-based reaction-diffusion mechanics.

Medical & biological engineering & computing May 30, 2018
Soft tissue deformation modelling forms the basis of development of surgical simulation, surgical planning and robotic-assisted minimally invasive surgery. This paper presents a new methodology for modelling of soft tissue deformation based on reacti...
Connective Tissue Feedback Biomechanical Phenomena Humans Phantoms, Imaging Diffusion Neural Networks, Computer Models, Anatomic Computer Simulation Anisotropy
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Impulsive synchronization of stochastic reaction-diffusion neural networks with mixed time delays.

Neural networks : the official journal of the International Neural Network Society Mar 29, 2018
This paper discusses impulsive synchronization of stochastic reaction-diffusion neural networks with Dirichlet boundary conditions and hybrid time delays. By virtue of inequality techniques, theories of stochastic analysis, linear matrix inequalities...
Neural Networks, Computer Algorithms Computer Simulation Time Factors Diffusion Stochastic Processes
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An artificial nociceptor based on a diffusive memristor.

Nature communications Jan 29, 2018
A nociceptor is a critical and special receptor of a sensory neuron that is able to detect noxious stimulus and provide a rapid warning to the central nervous system to start the motor response in the human body and humanoid robotics. It differs from...
Receptors, Artificial Artificial Intelligence Robotics Diffusion Humans Electronics Nociceptors
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Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.

Journal of magnetic resonance imaging : JMRI Oct 16, 2017
BACKGROUND: Diffusion-weighted MRI (DWI) is currently one of the fastest developing MRI-based techniques in oncology. Histogram properties from model fitting of DWI are useful features for differentiation of lesions, and classification can potentiall...
Breast Reproducibility of Results Diffusion Aged Algorithms Adult Motion Humans Prospective Studies Image Processing, Computer-Assisted Diffusion Magnetic Resonance Imaging Breast Neoplasms Machine Learning Female Image Interpretation, Computer-Assisted Support Vector Machine Echo-Planar Imaging Middle Aged Receptor, ErbB-2 Estrogen Receptor alpha
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