AIMC Topic: Reproducibility of Results

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Diagnostic Classification of ADHD Versus Control: Support Vector Machine Classification Using Brief Neuropsychological Assessment.

Journal of attention disorders May 26, 2016
Common methods for clinical diagnosis include clinical interview, behavioral questionnaires, and neuropsychological assessment. These methods rely on clinical interpretation and have variable reliability, sensitivity, and specificity. The goal of th...
Support Vector Machine Neuropsychological Tests Attention Deficit Disorder with Hyperactivity Reproducibility of Results Child Humans Machine Learning
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Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance.

Medical image analysis May 26, 2016
We introduce a new methodology that combines deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance (MR) data. This combination is relevant for segmentation problems, where t...
Humans Image Processing, Computer-Assisted Pattern Recognition, Automated Machine Learning Heart Ventricles Magnetic Resonance Imaging, Cine Reproducibility of Results
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Improved spatial accuracy of functional maps in the rat olfactory bulb using supervised machine learning approach.

NeuroImage May 25, 2016
Functional MRI (fMRI) is a popular and important tool for noninvasive mapping of neural activity. As fMRI measures the hemodynamic response, the resulting activation maps do not perfectly reflect the underlying neural activity. The purpose of this wo...
Image Enhancement Olfactory Bulb Electric Stimulation Image Interpretation, Computer-Assisted Pattern Recognition, Automated Smell Rats, Sprague-Dawley Brain Mapping Supervised Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Rats Male Animals Magnetic Resonance Imaging Spatio-Temporal Analysis
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A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles.

Computational intelligence and neuroscience May 22, 2016
Enhancing sales and operations planning through forecasting analysis and business intelligence is demanded in many industries and enterprises. Publishing industries usually pick attractive titles and headlines for their stories to increase sales, sin...
Publications Reproducibility of Results Nonlinear Dynamics Humans Commerce Models, Statistical Information Storage and Retrieval Neural Networks, Computer Vocabulary Regression Analysis Forecasting
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Representing higher-order dependencies in networks.

Science advances May 20, 2016
To ensure the correctness of network analysis methods, the network (as the input) has to be a sufficiently accurate representation of the underlying data. However, when representing sequential data from complex systems, such as global shipping traffi...
Data Mining Reproducibility of Results Cluster Analysis Models, Statistical Neural Networks, Computer Artificial Intelligence Algorithms
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Experimental new automatic tools for robotic stereotactic neurosurgery: towards "no hands" procedure of leads implantation into a brain target.

Journal of neural transmission (Vienna, Austria : 1996) May 19, 2016
The use of robotics in neurosurgery and, particularly, in stereotactic neurosurgery, is becoming more and more adopted because of the great advantages that it offers. Robotic manipulators easily allow to achieve great precision, reliability, and rapi...
Animals Humans Brain Reproducibility of Results Neurosurgery Swine Brain Diseases Robotics Therapy, Computer-Assisted Stereotaxic Techniques
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Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model.

PloS one May 19, 2016
In the business sector, it has always been a difficult task to predict the exact daily price of the stock market index; hence, there is a great deal of research being conducted regarding the prediction of the direction of stock price index movement. ...
Models, Economic Commerce Movement Investments Forecasting Reproducibility of Results Probability Neural Networks, Computer Algorithms
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Developing Artificial Neural Network Models to Predict Functioning One Year After Traumatic Spinal Cord Injury.

Archives of physical medicine and rehabilitation May 18, 2016
OBJECTIVE: To develop mathematical models for predicting level of independence with specific functional outcomes 1 year after discharge from inpatient rehabilitation for spinal cord injury.
Humans Neural Networks, Computer Retrospective Studies Female Logistic Models Models, Theoretical Recovery of Function Walking Reproducibility of Results Self Care Male Activities of Daily Living Spinal Cord Injuries Physical Therapy Modalities
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Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process.

Medical image analysis May 14, 2016
The gastrointestinal endoscopy in this study refers to conventional gastroscopy and wireless capsule endoscopy (WCE). Both of these techniques produce a large number of images in each diagnosis. The lesion detection done by hand from the images above...
Humans Machine Learning Area Under Curve Endoscopy, Gastrointestinal Reproducibility of Results Sensitivity and Specificity Intestine, Small Hemorrhage Gastrointestinal Diseases Digestive System Neoplasms Image Interpretation, Computer-Assisted Capsule Endoscopy
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Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

IEEE transactions on bio-medical engineering May 12, 2016
OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic re...
Sensitivity and Specificity Magnetic Resonance Imaging Multimodal Imaging Supervised Machine Learning Humans Algorithms Reproducibility of Results Radiation Dosage Radiation Exposure Subtraction Technique Radiation Protection Positron-Emission Tomography Pattern Recognition, Automated Image Enhancement
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