AIMC Topic: Reproducibility of Results

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Please Don't Move-Evaluating Motion Artifact From Peripheral Quantitative Computed Tomography Scans Using Textural Features.

Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry Aug 8, 2017
Most imaging methods, including peripheral quantitative computed tomography (pQCT), are susceptible to motion artifacts particularly in fidgety pediatric populations. Methods currently used to address motion artifact include manual screening (visual ...
Movement Epiphyses Diaphyses Tibia Radius Patient Positioning Humans Machine Learning Tomography, X-Ray Computed Reproducibility of Results Decision Trees Radiographic Image Interpretation, Computer-Assisted Artifacts
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Non-proliferative diabetic retinopathy symptoms detection and classification using neural network.

Journal of medical engineering & technology Aug 8, 2017
Diabetic retinopathy (DR) causes blindness in the working age for people with diabetes in most countries. The increasing number of people with diabetes worldwide suggests that DR will continue to be major contributors to vision loss. Early detection ...
Humans Aged Sensitivity and Specificity Male Middle Aged Diabetic Retinopathy Neural Networks, Computer Female Reproducibility of Results Pattern Recognition, Automated Disease Progression Fluorescein Angiography Decision Support Systems, Clinical Symptom Assessment Image Interpretation, Computer-Assisted
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Measuring Functional Arm Movement after Stroke Using a Single Wrist-Worn Sensor and Machine Learning.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 4, 2017
BACKGROUND AND PURPOSE: Trials of restorative therapies after stroke and clinical rehabilitation require relevant and objective efficacy end points; real-world upper extremity (UE) functional use is an attractive candidate. We present a novel, inexpe...
Predictive Value of Tests Equipment Design Signal Processing, Computer-Assisted Stroke Case-Control Studies Time Factors Health Status Fitness Trackers Actigraphy Machine Learning Movement Upper Extremity Female Feasibility Studies Humans Reproducibility of Results Activities of Daily Living Aged Adult Acceleration Video Recording Biomechanical Phenomena Male Middle Aged
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Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences.

Medical image analysis Aug 2, 2017
Dynamic contrast-enhanced MRI (DCE-MRI) is an imaging protocol where MRI scans are acquired repetitively throughout the injection of a contrast agent. The analysis of dynamic scans is widely used for the detection and quantification of blood-brain ba...
Anisotropy Humans Contrast Media Neural Networks, Computer Magnetic Resonance Imaging Reproducibility of Results Brain Mapping Algorithms Sensitivity and Specificity Image Enhancement Blood-Brain Barrier
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The combination of circle topology and leaky integrator neurons remarkably improves the performance of echo state network on time series prediction.

PloS one Jul 31, 2017
Recently, echo state network (ESN) has attracted a great deal of attention due to its high accuracy and efficient learning performance. Compared with the traditional random structure and classical sigmoid units, simple circle topology and leaky integ...
Nonlinear Dynamics Neural Networks, Computer Algorithms Machine Learning Computer Simulation Software Reproducibility of Results Principal Component Analysis
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Mixed Neural Network Approach for Temporal Sleep Stage Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 28, 2017
This paper proposes a practical approach to addressing limitations posed by using of single-channel electroencephalography (EEG) for sleep stage classification. EEG-based characterizations of sleep stage progression contribute the diagnosis and monit...
Reference Standards Electrooculography Sleep Stages Forehead Reproducibility of Results Electroencephalography Equipment Design Electrodes Neural Networks, Computer Machine Learning Algorithms Humans
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Towards a more molecular taxonomy of disease.

Journal of biomedical semantics Jul 27, 2017
BACKGROUND: Disease taxonomies have been designed for many applications, but they tend not to fully incorporate the growing amount of molecular-level knowledge of disease processes, inhibiting research efforts. Understanding the degree to which we ca...
Humans Reproducibility of Results Biological Ontologies Disease Medical Subject Headings
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Efficient and robust cell detection: A structured regression approach.

Medical image analysis Jul 26, 2017
Efficient and robust cell detection serves as a critical prerequisite for many subsequent biomedical image analysis methods and computer-aided diagnosis (CAD). It remains a challenging task due to touching cells, inhomogeneous background noise, and l...
Algorithms Female Reproducibility of Results Sensitivity and Specificity Humans Neural Networks, Computer Cytological Techniques Breast Neoplasms Bone Marrow Cells Uterine Cervical Neoplasms Neuroendocrine Tumors Diagnosis, Computer-Assisted Deep Learning
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Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging.

Computational and mathematical methods in medicine Jul 26, 2017
Free-breathing cardiac magnetic resonance (CMR) imaging has short examination time with high reproducibility. Detection of the end-diastole and the end-systole frames of the free-breathing cardiac magnetic resonance, supplemented by visual identifica...
Magnetic Resonance Imaging Humans Heart Neural Networks, Computer Systole Reproducibility of Results Diastole
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Prediction of lysine propionylation sites using biased SVM and incorporating four different sequence features into Chou's PseAAC.

Journal of molecular graphics & modelling Jul 25, 2017
Lysine propionylation is an important and common protein acylation modification in both prokaryotes and eukaryotes. To better understand the molecular mechanism of propionylation, it is important to identify propionylated substrates and their corresp...
Algorithms Support Vector Machine Reproducibility of Results Amino Acid Sequence Peptides Protein Processing, Post-Translational Acetylation Computational Biology Amino Acids Lysine Position-Specific Scoring Matrices
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