AIMC Topic: Neural Networks, Computer

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Convergent Cross Mapping: Basic concept, influence of estimation parameters and practical application.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
In neuroscience, data are typically generated from neural network activity. Complex interactions between measured time series are involved, and nothing or only little is known about the underlying dynamic system. Convergent Cross Mapping (CCM) provid...
Electroencephalography Heart Rate Computer Simulation Nonlinear Dynamics Child Models, Theoretical Humans Neural Networks, Computer Epilepsy, Temporal Lobe
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Breast tumor classification in ultrasound images using neural networks with improved generalization methods.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Mammography, scintimammography and ultrasound images have been used to increase the specificity of breast cancer image diagnosis. Concerning breast cancer image diagnosis with ultrasound, some results found in the literature show better performance o...
Breast Neoplasms Mammography Humans Area Under Curve Ultrasonography Neural Networks, Computer Algorithms ROC Curve Retrospective Studies Female
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Neural network based forward prediction of bladder pressure using pudendal nerve electrical activity.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Individuals with spinal cord injury or neurological disorders have problems in urinary bladder storage and in voiding function. In these people, the detrusor of bladder contracts at low volume and this causes incontinence. The goal of bladder control...
Electrophysiology Urinary Bladder Electric Stimulation Machine Learning Urinary Incontinence Animals Electric Stimulation Therapy Neural Networks, Computer Male Pudendal Nerve Muscle Contraction Rats, Wistar Spinal Cord Injuries Models, Neurological Urination Pressure
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On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Learning the deep structures and unknown correlations is important for the detection of motor imagery of EEG signals (MI-EEG). This study investigates the use of convolutional neural networks (CNNs) for the classification of multi-class MI-EEG signal...
Movement Electroencephalography Signal Processing, Computer-Assisted Electrodes Humans Neural Networks, Computer Algorithms
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Convolutional Neural Networks for patient-specific ECG classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can fuse feature extraction and classification into a unifie...
Ventricular Premature Complexes Atrial Premature Complexes Humans Neural Networks, Computer Algorithms Electrocardiography Monitoring, Physiologic
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A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Wound surface area changes over multiple weeks are highly predictive of the wound healing process. Furthermore, the quality and quantity of the tissue in the wound bed also offer important prognostic information. Unfortunately, accurate measurements ...
Image Processing, Computer-Assisted Wound Healing Automation Neural Networks, Computer Machine Learning Reproducibility of Results Humans
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Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
The lack of force feedback is considered one of the major limitations in Robot Assisted Minimally Invasive Surgeries. Since add-on sensors are not a practical solution for clinical environments, in this paper we present a force estimation approach th...
Robotic Surgical Procedures Supervised Machine Learning Humans Neural Networks, Computer Feedback
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Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2015
Discovering gene regulatory networks from data is one of the most studied topics in recent years. Neural networks can be successfully used to infer an underlying gene network by modeling expression profiles as times series. This work proposes a novel...
Neural Networks, Computer Data Mining Gene Expression Profiling Algorithms Pattern Recognition, Automated Humans Animals Proteome Gene Expression Regulation Signal Transduction
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Application of Counter-propagation Artificial Neural Networks in Prediction of Topiramate Concentration in Patients with Epilepsy.

Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques Jan 1, 2015
PURPOSE: The application of artificial neural networks in the pharmaceutical sciences is broad, ranging from drug discovery to clinical pharmacy. In this study, we explored the applicability of counter-propagation artificial neural networks (CPANNs),...
Neural Networks, Computer Machine Learning Algorithms Humans Middle Aged Glomerular Filtration Rate Epilepsy Female Adult Male Fructose Carbamazepine Anticonvulsants Topiramate Drug Interactions Chromatography, High Pressure Liquid
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Analysis of Drug Design for a Selection of G Protein-Coupled Neuro- Receptors Using Neural Network Techniques.

Current computer-aided drug design Jan 1, 2015
A study is presented on how well possible drug-molecules can be predicted with respect to their function and binding to a selection of neuro-receptors by the use of artificial neural networks. The ligands investigated in this study are chosen to be c...
Receptor, Serotonin, 5-HT2B Humans Receptors, Opioid, mu Neural Networks, Computer Protein Binding Drug Design Ligands Receptor, Metabotropic Glutamate 5
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