AIMC Topic: Neural Networks, Computer

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Improved diagnostic accuracy for myocardial perfusion imaging using artificial neural networks on different input variables including clinical and quantification data.

Revista espanola de medicina nuclear e imagen molecular Aug 8, 2019
OBJECTIVE: Diagnostic accuracy of myocardial perfusion imaging (MPI) is not optimal to predict the result of angiography. The current study aimed at investigating the application of artificial neural network (ANN) to integrate the clinical data with ...
Humans Myocardial Perfusion Imaging Neural Networks, Computer Retrospective Studies Male Female Coronary Angiography Reproducibility of Results Coronary Artery Disease
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Intermittent Discrete Observation Control for Synchronization of Stochastic Neural Networks.

IEEE transactions on cybernetics Aug 7, 2019
In this paper, to investigate the exponential synchronization of stochastic neural networks, a new periodically intermittent discrete observation control (PIDOC) is first proposed. Different from the existing periodically intermittent control, our co...
Computer Simulation Models, Neurological Neural Networks, Computer Stochastic Processes
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Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs.

International journal of computer assisted radiology and surgery Aug 7, 2019
PURPOSE: In this paper, we propose to apply generative adversarial neural networks trained with a cycle consistency loss, or CycleGANs, to improve realism in ultrasound (US) simulation from computed tomography (CT) scans.
Machine Learning Algorithms Tomography, X-Ray Computed Humans Neural Networks, Computer Abdomen Ultrasonography Image Processing, Computer-Assisted
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Non-fragile state estimation for fractional-order delayed memristive BAM neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 7, 2019
This paper deals with the non-fragile state estimation problem for a class of fractional-order memristive BAM neural networks (FMBAMNNs) with and without time delays for the first time. By means of a novel transformation and interval matrix approach,...
Neural Networks, Computer Time Factors Algorithms
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Detection of medical text semantic similarity based on convolutional neural network.

BMC medical informatics and decision making Aug 7, 2019
BACKGROUND: Imaging examinations, such as ultrasonography, magnetic resonance imaging and computed tomography scans, play key roles in healthcare settings. To assess and improve the quality of imaging diagnosis, we need to manually find and compare t...
Humans Neural Networks, Computer Information Storage and Retrieval Semantics Pathology Ultrasonography Algorithms ROC Curve Electronic Health Records
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Time-delay estimation based computed torque control with robust adaptive RBF neural network compensator for a rehabilitation exoskeleton.

ISA transactions Aug 6, 2019
A new approach to gait rehabilitation task of a 12 DOF lower limb exoskeleton is proposed combining time-delay estimation (TDE) based computed torque control (CTC) and robust adaptive RBF neural networks. In addition to the conventional advantages of...
Computer Simulation Biomechanical Phenomena Neural Networks, Computer Robotics Algorithms Exoskeleton Device Lower Extremity Gait Equipment Design Humans Rehabilitation Torque
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Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation.

Medical image analysis Aug 6, 2019
Diagnosing pulmonary embolism (PE) and excluding disorders that may clinically and radiologically simulate PE poses a challenging task for both human and machine perception. In this paper, we propose a novel vessel-oriented image representation (VOIR...
Pulmonary Embolism Datasets as Topic Neural Networks, Computer Humans Imaging, Three-Dimensional Diagnosis, Computer-Assisted Tomography, X-Ray Computed Contrast Media
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Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room.

International journal of computer assisted radiology and surgery Aug 6, 2019
PURPOSE: For many years, deep convolutional neural networks have achieved state-of-the-art results on a wide variety of computer vision tasks. 3D human pose estimation makes no exception and results on public benchmarks are impressive. However, speci...
Lighting Operating Rooms Humans Patient Positioning Neural Networks, Computer Imaging, Three-Dimensional Equipment Design
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Classification of schizophrenia and normal controls using 3D convolutional neural network and outcome visualization.

Schizophrenia research Aug 6, 2019
BACKGROUND: The recent deep learning-based studies on the classification of schizophrenia (SCZ) using MRI data rely on manual extraction of feature vector, which destroys the 3D structure of MRI data. In order to both identify SCZ and find relevant b...
Middle Aged Functional Neuroimaging Magnetic Resonance Imaging Schizophrenia Support Vector Machine Adult Male Female Young Adult Humans Neural Networks, Computer
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The extraction method of tooth preparation margin line based on S-Octree CNN.

International journal for numerical methods in biomedical engineering Aug 6, 2019
The tooth preparation margin line has a significant impact on the marginal fitness for dental restoration. Among the previous methods, the extraction of margin line mainly relies on manual interaction, which is complicated and inefficient. Therefore,...
Algorithms Models, Dental Tooth Preparation Humans Neural Networks, Computer
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