Humans

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A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes.

Genetic epidemiology Apr 22, 2018
Genome-wide association studies (GWAS) have become a very effective research tool to identify genetic variants of underlying various complex diseases. In spite of the success of GWAS in identifying thousands of reproducible associations between genet...
Genome-Wide Association Study Models, Genetic Multifactor Dimensionality Reduction Cluster Analysis Phenotype Humans Computer Simulation Pulmonary Disease, Chronic Obstructive
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Critical gaps in the medical knowledge base of eating disorders.

Eating and weight disorders : EWD Apr 21, 2018
Eating disorders are unique in that they inherently have much medical comorbidity both as a part of restricting-type eating disorders and those characterized by purging behaviors. Over the last three decades, remarkable progress has been made in the ...
Evidence-Based Medicine Feeding and Eating Disorders Research Knowledge Bases Humans
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Evaluation of an ontology-based system for computerized cognitive rehabilitation.

International journal of medical informatics Apr 21, 2018
OBJECTIVES: This paper describes the results of a randomized clinical trial about the effectiveness of a computerized rehabilitation treatment on a sample of 31 patients affected by Parkinson disease.
Home Care Services Biological Ontologies Therapy, Computer-Assisted Parkinson Disease Cognition Disorders Adult Male Exercise Treatment Outcome Middle Aged Humans Female
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Learning Support Correlation Filters for Visual Tracking.

IEEE transactions on pattern analysis and machine intelligence Apr 20, 2018
For visual tracking methods based on kernel support vector machines (SVMs), data sampling is usually adopted to reduce the computational cost in training. In addition, budgeting of support vectors is required for computational efficiency. Instead of ...
Support Vector Machine Humans Databases, Factual Algorithms Fourier Analysis Image Processing, Computer-Assisted
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Hedging Deep Features for Visual Tracking.

IEEE transactions on pattern analysis and machine intelligence Apr 20, 2018
Convolutional Neural Networks (CNNs) have been applied to visual tracking with demonstrated success in recent years. Most CNN-based trackers utilize hierarchical features extracted from a certain layer to represent the target. However, features from ...
Humans Neural Networks, Computer Video Recording Image Processing, Computer-Assisted Algorithms
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A deep learning approach for fetal QRS complex detection.

Physiological measurement Apr 20, 2018
OBJECTIVE: Non-invasive foetal electrocardiography (NI-FECG) has the potential to provide more additional clinical information for detecting and diagnosing fetal diseases. We propose and demonstrate a deep learning approach for fetal QRS complex dete...
Humans Electrocardiography Signal Processing, Computer-Assisted Fetus Neural Networks, Computer Deep Learning
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Recurrent Shape Regression.

IEEE transactions on pattern analysis and machine intelligence Apr 19, 2018
An end-to-end network architecture, the Recurrent Shape Regression (RSR), is presented to deal with the task of facial shape detection, a crucial step in many computer vision problems. The RSR generalizes the conventional cascaded regression into a r...
Pattern Recognition, Automated Image Processing, Computer-Assisted Regression Analysis Face Neural Networks, Computer Databases, Factual Humans
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Dynamical and Static Multisynchronization of Coupled Multistable Neural Networks via Impulsive Control.

IEEE transactions on neural networks and learning systems Apr 19, 2018
This paper investigates the dynamical multisynchronization and static multisynchronization problem for delayed coupled multistable neural networks with fixed and switching topologies. To begin with, a class of activation functions as well as several ...
Time Factors Algorithms Nonlinear Dynamics Humans Computer Simulation Reaction Time Neural Networks, Computer
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Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network.

Computer methods and programs in biomedicine Apr 19, 2018
BACKGROUND AND OBJECTIVE: White matter lesions are non-static brain lesions that have a prevalence rate up to 98% in the elderly population. Because they may be associated with several brain diseases, it is important that they are detected as soon as...
Sensitivity and Specificity Prevalence Diagnosis, Computer-Assisted Brain Reproducibility of Results Magnetic Resonance Imaging Pattern Recognition, Automated False Positive Reactions Deep Learning Image Processing, Computer-Assisted Humans Algorithms Databases, Factual Neural Networks, Computer White Matter
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Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation.

IEEE transactions on bio-medical engineering Apr 19, 2018
OBJECTIVE: Deep learning based methods for retinal vessel segmentation are usually trained based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to-pixel matching between a predicted probability map and the correspo...
Humans Databases, Factual Deep Learning Algorithms Retinal Vessels Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological
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