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Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface.

BioMed research international Jul 18, 2017
Motor-imagery tasks are a popular input method for controlling brain-computer interfaces (BCIs), partially due to their similarities to naturally produced motor signals. The use of functional near-infrared spectroscopy (fNIRS) in BCIs is still emergi...
Adolescent Robotics Motor Activity Visual Perception Brain-Computer Interfaces Humans Adult Male
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The Economic Burden of ACPA-Positive Status Among Patients with Rheumatoid Arthritis.

Journal of managed care & specialty pharmacy Jul 17, 2017
BACKGROUND: Anticitrullinated protein antibodies (ACPAs) are serological biomarkers associated with early, rapidly progressing rheumatoid arthritis (RA), including more severe disease and joint damage. ACPA testing has become a routine tool for RA di...
(1)
Antirheumatic Agents Cost of Illness Male Middle Aged Disease Progression Female Anti-Citrullinated Protein Antibodies Biomarkers Electronic Health Records Aged Young Adult Humans Biological Products Retrospective Studies Arthritis, Rheumatoid Health Expenditures Adult Treatment Outcome
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Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.

Journal of biomedical informatics Jul 17, 2017
We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) systems that generate structured information from unstructured free text...
Natural Language Processing Humans Electronic Health Records
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A neural network approach for fast, automated quantification of DIR performance.

Medical physics Jul 17, 2017
PURPOSE: A critical step in adaptive radiotherapy (ART) workflow is deformably registering the simulation CT with the daily or weekly volumetric imaging. Quantifying the deformable image registration accuracy under these circumstances is a complex ta...
(1)
Humans Neural Networks, Computer Neck Head Costs and Cost Analysis Tomography, X-Ray Computed Image Processing, Computer-Assisted Algorithms
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Computer-Assisted Mapping in Electrophysiology: Are the Machines Taking Over?

JACC. Clinical electrophysiology Jul 17, 2017
Electrophysiology Humans Tachycardia, Ventricular Electrocardiography
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Sparse Contribution Feature Selection and Classifiers Optimized by Concave-Convex Variation for HCC Image Recognition.

BioMed research international Jul 17, 2017
Accurate classification of hepatocellular carcinoma (HCC) image is of great importance in pathology diagnosis and treatment. This paper proposes a concave-convex variation (CCV) method to optimize three classifiers (random forest, support vector mach...
Support Vector Machine Liver Neoplasms Carcinoma, Hepatocellular Humans Image Processing, Computer-Assisted Databases, Factual
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Convolutional neural network-based encoding and decoding of visual object recognition in space and time.

NeuroImage Jul 16, 2017
Representations learned by deep convolutional neural networks (CNNs) for object recognition are a widely investigated model of the processing hierarchy in the human visual system. Using functional magnetic resonance imaging, CNN representations of vi...
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Humans Neural Networks, Computer Male Signal Processing, Computer-Assisted Pattern Recognition, Visual Young Adult Adult Female Visual Cortex Magnetoencephalography
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Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning.

International journal of neural systems Jul 16, 2017
In this study, we propose an automated framework that combines diffusion tensor imaging (DTI) metrics with machine learning algorithms to accurately classify control groups and groups with cervical spondylotic myelopathy (CSM) in the spinal cord. The...
Image Processing, Computer-Assisted Support Vector Machine Spondylosis Anisotropy Diffusion Tensor Imaging Male Middle Aged ROC Curve Young Adult Adult Humans Algorithms Aged Aged, 80 and over Female
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Fiber tractography using machine learning.

NeuroImage Jul 15, 2017
We present a fiber tractography approach based on a random forest classification and voting process, guiding each step of the streamline progression by directly processing raw diffusion-weighted signal intensities. For comparison to the state-of-the-...
Diffusion Tensor Imaging Humans Machine Learning Brain Mapping
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An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network.

IEEE journal of biomedical and health informatics Jul 14, 2017
High-efficiency lung nodule detection dramatically contributes to the risk assessment of lung cancer. It is a significant and challenging task to quickly locate the exact positions of lung nodules. Extensive work has been done by researchers around t...
Radiographic Image Interpretation, Computer-Assisted Deep Learning Lung Neoplasms Humans Tomography, X-Ray Computed Lung Algorithms
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