AIMC Topic: Pattern Recognition, Automated

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Diagnosis of Alzheimer's Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network.

Journal of healthcare engineering Jun 21, 2017
. Error-free diagnosis of Alzheimer's disease (AD) from healthy control (HC) patients at an early stage of the disease is a major concern, because information about the condition's severity and developmental risks present allows AD sufferer to take p...
Magnetic Resonance Imaging Wavelet Analysis Diagnosis, Computer-Assisted Principal Component Analysis Aged Severity of Illness Index Dementia Humans Male Alzheimer Disease Image Processing, Computer-Assisted Aged, 80 and over Case-Control Studies Middle Aged Brain Neural Networks, Computer Pattern Recognition, Automated Female Algorithms Sensitivity and Specificity Reproducibility of Results
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Discriminative Deep Metric Learning for Face and Kinship Verification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 20, 2017
This paper presents a new discriminative deep metric learning (DDML) method for face and kinship verification in wild conditions. While metric learning has achieved reasonably good performance in face and kinship verification, most existing metric le...
Pattern Recognition, Automated Biometric Identification Family Humans Algorithms Neural Networks, Computer Face Machine Learning
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Bag of Visual Words Model with Deep Spatial Features for Geographical Scene Classification.

Computational intelligence and neuroscience Jun 19, 2017
With the popular use of geotagging images, more and more research efforts have been placed on geographical scene classification. In geographical scene classification, valid spatial feature selection can significantly boost the final performance. Bag ...
Neural Networks, Computer Pattern Recognition, Automated Geography
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Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.

IEEE transactions on bio-medical engineering Jun 15, 2017
Current functional magnetic resonance imaging (fMRI) data modeling techniques, such as independent component analysis and sparse coding methods, can effectively reconstruct dozens or hundreds of concurrent interacting functional brain networks simult...
Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Brain Mapping Brain Nerve Net Signal Processing, Computer-Assisted Pattern Recognition, Automated
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An Ensemble Multilabel Classification for Disease Risk Prediction.

Journal of healthcare engineering Jun 15, 2017
It is important to identify and prevent disease risk as early as possible through regular physical examinations. We formulate the disease risk prediction into a multilabel classification problem. A novel Ensemble Label Power-set Pruned datasets Joint...
Pattern Recognition, Automated Cholecystitis Diabetes Mellitus Obesity Heart Diseases Medical Informatics Diagnosis, Computer-Assisted Machine Learning Fatty Liver Software Hypertension Algorithms Risk Assessment Humans Artificial Intelligence
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Unlocking echocardiogram measurements for heart disease research through natural language processing.

BMC cardiovascular disorders Jun 12, 2017
BACKGROUND: In order to investigate the mechanisms of cardiovascular disease in HIV infected and uninfected patients, an analysis of echocardiogram reports is required for a large longitudinal multi-center study.
Databases, Factual Retrospective Studies Reproducibility of Results Ventricular Function, Left Humans Heart Failure Data Mining Longitudinal Studies Automation Natural Language Processing Stroke Volume Predictive Value of Tests Feasibility Studies Veterans Health Echocardiography Pattern Recognition, Automated Software Validation HIV Infections Terminology as Topic
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Robust recursive absolute value inequalities discriminant analysis with sparseness.

Neural networks : the official journal of the International Neural Network Society Jun 9, 2017
In this paper, we propose a novel absolute value inequalities discriminant analysis (AVIDA) criterion for supervised dimensionality reduction. Compared with the conventional linear discriminant analysis (LDA), the main characteristics of our AVIDA ar...
Pattern Recognition, Automated Programming, Linear Neural Networks, Computer Discriminant Analysis
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Unsupervised Learning of Spike Patterns for Seizure Detection and Wavefront Estimation of High Resolution Micro Electrocorticographic ( $\mu $ ECoG) Data.

IEEE transactions on nanobioscience Jun 9, 2017
For the past few years, we have developed flexible, active, and multiplexed recording devices for high resolution recording over large, clinically relevant areas in the brain. While this technology has enabled a much higher-resolution view of the ele...
Action Potentials Unsupervised Machine Learning Seizures Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Cerebral Cortex Electrocorticography Humans
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Automated analysis of brain activity for seizure detection in zebrafish models of epilepsy.

Journal of neuroscience methods Jun 1, 2017
BACKGROUND: Epilepsy is a chronic neurological condition, with over 30% of cases unresponsive to treatment. Zebrafish larvae show great potential to serve as an animal model of epilepsy in drug discovery. Thanks to their high fecundity and relatively...
Animals Larva Support Vector Machine Disease Models, Animal Automation, Laboratory Brain Sensitivity and Specificity Seizures Signal Processing, Computer-Assisted Zebrafish Pattern Recognition, Automated Electroencephalography Epilepsy Pentylenetetrazole
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Medical image classification based on multi-scale non-negative sparse coding.

Artificial intelligence in medicine May 27, 2017
With the rapid development of modern medical imaging technology, medical image classification has become more and more important in medical diagnosis and clinical practice. Conventional medical image classification algorithms usually neglect the sema...
Humans Artificial Intelligence Image Interpretation, Computer-Assisted ROC Curve Pattern Recognition, Automated Predictive Value of Tests Diagnostic Imaging
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