AIMC Topic: Neural Networks, Computer

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Artificial neural network-based model enhances risk stratification and reduces non-invasive cardiac stress imaging compared to Diamond-Forrester and Morise risk assessment models: A prospective study.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Feb 21, 2017
BACKGROUND: Coronary artery disease (CAD) accounts for more than half of all cardiovascular events. Stress testing remains the cornerstone for non-invasive assessment of patients with possible or known CAD. Clinical utilization reviews show that most...
Humans Middle Aged Risk Assessment Male Exercise Test Coronary Artery Disease Female Predictive Value of Tests Neural Networks, Computer Aged Prospective Studies Adult
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Respiratory motion prediction and prospective correction for free-breathing arterial spin-labeled perfusion MRI of the kidneys.

Medical physics Feb 21, 2017
PURPOSE: Respiratory motion prediction using an artificial neural network (ANN) was integrated with pseudocontinuous arterial spin labeling (pCASL) MRI to allow free-breathing perfusion measurements in the kidney. In this study, we evaluated the perf...
Male Neural Networks, Computer Lung Female Kidney Spin Labels Humans Young Adult Movement Adult Diaphragm Magnetic Resonance Imaging Motion Respiration
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Mexican Hat Wavelet Kernel ELM for Multiclass Classification.

Computational intelligence and neuroscience Feb 21, 2017
Kernel extreme learning machine (KELM) is a novel feedforward neural network, which is widely used in classification problems. To some extent, it solves the existing problems of the invalid nodes and the large computational complexity in ELM. However...
Machine Learning Humans Algorithms Neural Networks, Computer Classification
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Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization.

PloS one Feb 21, 2017
Accurately predicting the trend of outpatient visits by mathematical modeling can help policy makers manage hospitals effectively, reasonably organize schedules for human resources and finances, and appropriately distribute hospital material resource...
Office Visits Humans Models, Theoretical Neural Networks, Computer Outpatients Forecasting Computer Simulation Nonlinear Dynamics China
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DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.

NeuroImage Feb 20, 2017
We introduce DeepNAT, a 3D Deep convolutional neural network for the automatic segmentation of NeuroAnaTomy in T1-weighted magnetic resonance images. DeepNAT is an end-to-end learning-based approach to brain segmentation that jointly learns an abstra...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Neuroimaging Machine Learning Humans Brain Neural Networks, Computer Deep Learning
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Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors.

Neural networks : the official journal of the International Neural Network Society Feb 20, 2017
Wearable devices, such as smart glasses and watches, allow for continuous recording of everyday life in a real world over an extended period of time or lifelong. This possibility helps better understand the cognitive behavior of humans in real life a...
Brain Cognition Humans Microcomputers Models, Neurological Neural Networks, Computer
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Prospective identification of hematopoietic lineage choice by deep learning.

Nature methods Feb 20, 2017
Differentiation alters molecular properties of stem and progenitor cells, leading to changes in their shape and movement characteristics. We present a deep neural network that prospectively predicts lineage choice in differentiating primary hematopoi...
Neural Networks, Computer Machine Learning Biomarkers Image Processing, Computer-Assisted Area Under Curve Cell Differentiation Animals Male Mice, Mutant Strains Time-Lapse Imaging Proto-Oncogene Proteins Hematopoietic Stem Cells Gene Knock-In Techniques Trans-Activators Cell Lineage
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Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem.

Artificial intelligence in medicine Feb 20, 2017
OBJECTIVE: Create an efficient decision-support model to assist medical experts in the process of organ allocation in liver transplantation. The mathematical model proposed here uses different sources of information to predict the probability of orga...
Liver Failure Humans Decision Support Techniques Models, Theoretical Neural Networks, Computer Liver Transplantation Algorithms
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Stability Analysis of Discrete-Time Neural Networks With Time-Varying Delay via an Extended Reciprocally Convex Matrix Inequality.

IEEE transactions on cybernetics Feb 17, 2017
This paper is concerned with the stability analysis of discrete-time neural networks with a time-varying delay. Assessment of the effect of time delays on system stability requires suitable delay-dependent stability criteria. This paper aims to devel...
Time Factors Nonlinear Dynamics Neural Networks, Computer Computer Simulation
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A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems.

Neural networks : the official journal of the International Neural Network Society Feb 17, 2017
Over the past few decades, the design of an intelligent Intrusion Detection System (IDS) remains an open challenge to the research community. Continuous efforts by the researchers have resulted in the development of several learning models based on A...
Biometric Identification Neural Networks, Computer
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