AIMC Topic: Neural Networks, Computer

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An ensemble deep learning based approach for red lesion detection in fundus images.

Computer methods and programs in biomedicine Oct 14, 2017
BACKGROUND AND OBJECTIVES: Diabetic retinopathy (DR) is one of the leading causes of preventable blindness in the world. Its earliest sign are red lesions, a general term that groups both microaneurysms (MAs) and hemorrhages (HEs). In daily clinical ...
Fundus Oculi Image Interpretation, Computer-Assisted Microaneurysm Neural Networks, Computer Diabetic Retinopathy Machine Learning Humans
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Multistability and instability analysis of recurrent neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society Oct 14, 2017
This paper provides new theoretical results on the multistability and instability analysis of recurrent neural networks with time-varying delays. It is shown that such n-neuronal recurrent neural networks have exactly [Formula: see text] equilibria, ...
Neurons Computer Simulation Time Factors Neural Networks, Computer Algorithms
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Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images.

IEEE transactions on bio-medical engineering Oct 13, 2017
OBJECTIVE: Left ventricular (LV) volume estimation is a critical procedure for cardiac disease diagnosis. The objective of this paper is to address a direct LV volume prediction task.
Magnetic Resonance Imaging Heart Ventricles Heart Diseases Neural Networks, Computer Algorithms Image Interpretation, Computer-Assisted Cardiac Imaging Techniques Humans
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Reconstructing One-Articulated Networks with Distance Matrices.

Journal of computational biology : a journal of computational molecular cell biology Oct 13, 2017
Given a distance matrix M that represents evolutionary distances between any two species, an edge-weighted phylogenetic network N is said to satisfy M if between any pair of species, there exists a path in N with a length equal to the corresponding e...
Neural Networks, Computer Algorithms Phylogeny
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A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.

IEEE transactions on medical imaging Oct 13, 2017
Inspired by recent advances in deep learning, we propose a framework for reconstructing dynamic sequences of 2-D cardiac magnetic resonance (MR) images from undersampled data using a deep cascade of convolutional neural networks (CNNs) to accelerate ...
Databases, Factual Image Processing, Computer-Assisted Magnetic Resonance Imaging, Cine Heart Neural Networks, Computer Algorithms Humans
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Development of a partial least squares-artificial neural network (PLS-ANN) hybrid model for the prediction of consumer liking scores of ready-to-drink green tea beverages.

Food research international (Ottawa, Ont.) Oct 13, 2017
In order to develop products that would be preferred by consumers, the effects of the chemical compositions of ready-to-drink green tea beverages on consumer liking were studied through regression analyses. Green tea model systems were prepared by do...
Taste Consumer Behavior Linear Models Adult Odorants Adolescent Taste Perception Tea Machine Learning Nonlinear Dynamics Smell Least-Squares Analysis Young Adult Humans Food Analysis Olfactory Perception Neural Networks, Computer
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Variable structure controller design for Boolean networks.

Neural networks : the official journal of the International Neural Network Society Oct 13, 2017
The paper investigates the variable structure control for stabilization of Boolean networks (BNs). The design of variable structure control consists of two steps: determine a switching condition and determine a control law. We first provide a method ...
Neural Networks, Computer Algorithms
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A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network.

IEEE transactions on neural networks and learning systems Oct 12, 2017
This paper presents a novel method for learning the cyclic contents of stochastic time series: the deep time-growing neural network (DTGNN). The DTGNN combines supervised and unsupervised methods in different levels of learning for an enhanced perfor...
Machine Learning Heart Rate Respiratory Mechanics Humans Neural Networks, Computer Interrupted Time Series Analysis
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Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks.

International journal of neural systems Oct 12, 2017
One of the greatest challenges in data mining is related to processing and analysis of massive data streams. Contrary to traditional static data mining problems, data streams require that each element is processed only once, the amount of allocated m...
Models, Neurological Regression Analysis Data Mining Learning Time Factors Algorithms Computer Simulation Humans Neural Networks, Computer
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Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.

NeuroImage. Clinical Oct 12, 2017
Automatic segmentation of brain tissues and white matter hyperintensities of presumed vascular origin (WMH) in MRI of older patients is widely described in the literature. Although brain abnormalities and motion artefacts are common in this age group...
Male Image Processing, Computer-Assisted Artifacts Reproducibility of Results Magnetic Resonance Imaging Pattern Recognition, Automated White Matter Humans Aged Brain Neural Networks, Computer Female
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