AIMC Topic: Reproducibility of Results

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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Angiography Necrosis Carotid Stenosis Plaque, Amyloid Cerebral Hemorrhage Bayes Theorem Carotid Arteries Carotid Artery, Common Plaque, Atherosclerotic Male Middle Aged Contrast Media Calcinosis Lipids Algorithms Female Reproducibility of Results Humans Aged Machine Learning Sensitivity and Specificity
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Research on soil moisture prediction model based on deep learning.

PloS one Apr 3, 2019
Soil moisture is one of the main factors in agricultural production and hydrological cycles, and its precise prediction is important for the rational use and management of water resources. However, soil moisture involves complex structural characteri...
Regression Analysis China Weather Water Agriculture Agricultural Irrigation Models, Theoretical Droughts Groundwater Meteorology Algorithms Temperature Soil Reproducibility of Results Deep Learning
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Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.

The Lancet. Oncology Apr 2, 2019
BACKGROUND: The Response Assessment in Neuro-Oncology (RANO) criteria and requirements for a uniform protocol have been introduced to standardise assessment of MRI scans in both clinical trials and clinical practice. However, these criteria mainly re...
Treatment Outcome Magnetic Resonance Imaging Multicenter Studies as Topic Randomized Controlled Trials as Topic Clinical Trials, Phase II as Topic Brain Neoplasms Male Disease Progression Diagnosis, Computer-Assisted Time Factors Germany Clinical Trials, Phase III as Topic Predictive Value of Tests Workflow Tumor Burden Image Interpretation, Computer-Assisted Automation Humans Neural Networks, Computer Databases, Factual Retrospective Studies Female Reproducibility of Results
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On the Vulnerability of CNN Classifiers in EEG-Based BCIs.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 2, 2019
Deep learning has been successfully used in numerous applications because of its outstanding performance and the ability to avoid manual feature engineering. One such application is electroencephalogram (EEG)-based brain-computer interface (BCI), whe...
Humans Neural Networks, Computer Machine Learning Signal Processing, Computer-Assisted Brain-Computer Interfaces Algorithms Event-Related Potentials, P300 Reproducibility of Results Imagination Deep Learning Models, Theoretical Electroencephalography
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Use of a molecular classifier to identify usual interstitial pneumonia in conventional transbronchial lung biopsy samples: a prospective validation study.

The Lancet. Respiratory medicine Apr 1, 2019
BACKGROUND: In the appropriate clinical setting, the diagnosis of idiopathic pulmonary fibrosis (IPF) requires a pattern of usual interstitial pneumonia to be present on high-resolution chest CT (HRCT) or surgical lung biopsy. A molecular usual inter...
Lung Idiopathic Pulmonary Fibrosis Diagnosis, Differential Predictive Value of Tests Biopsy Machine Learning Algorithms Humans Prospective Studies Reproducibility of Results Tomography, X-Ray Computed Aged Female Sensitivity and Specificity Male Middle Aged
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Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.

Scientific reports Apr 1, 2019
The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item similarities of machine learning has never been applied to the relationship between diseases. The study aim was to identify diseases associated with endomet...
Humans Machine Learning Female Reproducibility of Results Young Adult Logistic Models Adult Fibrocystic Breast Disease Diagnosis, Differential Sensitivity and Specificity Cystitis Cross-Sectional Studies Endometriosis Goiter Middle Aged Adolescent
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Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices.

Journal of diabetes science and technology Mar 31, 2019
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we demonstrated that a set of GV indices, extracted from continuous glucose monitoring (CGM) data, can distinguish between stages of diabetes progression. ...
Data Interpretation, Statistical Humans Algorithms Blood Glucose Self-Monitoring Female Datasets as Topic Glucose Intolerance Glycemic Control Blood Glucose Reproducibility of Results Diabetes Mellitus, Type 2 Health Status Indicators Aged Support Vector Machine Adult Diagnosis, Differential Predictive Value of Tests Male Middle Aged
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Optimizing the removal of strontium and cesium ions from binary solutions on magnetic nano-zeolite using response surface methodology (RSM) and artificial neural network (ANN).

Environmental research Mar 28, 2019
The feasibility of using magnetic nano-zeolite (MNZ) to remove cesium and strontium from their binary corrosive solutions was investigated by considering the multi-variant/multi-objective nature of the process. RSM (Response Surface Methodology) and ...
Solutions Strontium Kinetics Hydrogen-Ion Concentration Magnetic Phenomena Neural Networks, Computer Ions Reproducibility of Results Zeolites Adsorption Models, Chemical Cesium
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Estimating Multiscale Direct Causality Graphs in Neural Spike-Field Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 28, 2019
Neural representations span various spatiotemporal scales of brain activity, from the spiking activity of single neurons to field activity measuring large-scale networks. The simultaneous analyses of spikes and fields to uncover causal interactions i...
Humans Evoked Potentials Neural Networks, Computer Biophysics Brain Algorithms Reproducibility of Results Causality Models, Neurological Linear Models
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Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning.

The European respiratory journal Mar 28, 2019
Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such as the use of tyrosine kinase inhibitors in lung adenocarcinoma. Conventional identification of EGFR genotype requires biopsy and sequence testing which is i...
Humans Neural Networks, Computer Retrospective Studies Deep Learning Tomography, X-Ray Computed Female Mutation ROC Curve Reproducibility of Results ErbB Receptors Image Processing, Computer-Assisted Aged Adenocarcinoma of Lung Computational Biology Male Neoplasm Staging Middle Aged
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