AIMC Topic: Reproducibility of Results

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Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

NeuroImage Oct 6, 2018
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of damage, which are key criteria for the diagnosis, prognosis, and long...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Multiple Sclerosis Spinal Cord Observer Variation Pattern Recognition, Automated Humans Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity
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Automated segmentation of en face choroidal images obtained by optical coherent tomography by machine learning.

Japanese journal of ophthalmology Oct 6, 2018
PURPOSE: To develop an automated method to segment the choroidal layers of en face optical coherent tomography (OCT) images by machine learning.
Cross-Sectional Studies Male Middle Aged Imaging, Three-Dimensional Choroid Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Tomography, Optical Coherence Healthy Volunteers Retinal Pigment Epithelium Humans Machine Learning Prospective Studies Female
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A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq data.

Computer methods and programs in biomedicine Oct 5, 2018
BACKGROUND AND OBJECTIVE: Cancer has become a complex health problem due to its high mortality. Over the past few decades, with the rapid development of the high-throughput sequencing technology and the application of various machine learning methods...
False Positive Reactions Gene Expression Regulation, Neoplastic Supervised Machine Learning RNA Pattern Recognition, Automated Algorithms Female Reproducibility of Results Stomach Neoplasms Breast Neoplasms Humans Male Software Diagnosis, Computer-Assisted Deep Learning Lung Neoplasms Sequence Analysis, RNA
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Utilizing soft constraints to enhance medical relation extraction from the history of present illness in electronic medical records.

Journal of biomedical informatics Oct 4, 2018
Relation extraction between medical concepts from electronic medical records has pervasive applications as well as significance. However, previous researches utilizing machine learning algorithms judge the semantic types of medical concept pair menti...
Electronic Health Records Reproducibility of Results Deep Learning China Support Vector Machine Humans Algorithms Models, Statistical Regression Analysis Probability Medical Informatics
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Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas.

Clinical physiology and functional imaging Oct 3, 2018
BACKGROUND: 18F-FDG-PET/CT has become a standard for assessing treatment response in patients with lymphoma. A subjective interpretation of the scan based on the Deauville 5-point scale has been widely adopted. However, inter-observer variability due...
Mediastinum Hodgkin Disease Radiopharmaceuticals Lymphoma, Non-Hodgkin Image Interpretation, Computer-Assisted Automation Fluorodeoxyglucose F18 Aged, 80 and over Young Adult Neural Networks, Computer Adult Adolescent Retrospective Studies Treatment Outcome Female Liver Reproducibility of Results Predictive Value of Tests Aged Positron Emission Tomography Computed Tomography Humans Male Middle Aged
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Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials.

Journal of neural engineering Oct 3, 2018
OBJECTIVE: Steady-state visual evoked potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli. SSVEPs are robust signals measurable in the electroencephalogram (E...
Humans Neural Networks, Computer Machine Learning Healthy Volunteers Brain-Computer Interfaces Evoked Potentials, Visual Photic Stimulation Visual Cortex Algorithms Reproducibility of Results Adult Electroencephalography Signal Processing, Computer-Assisted
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ECG authentication system design incorporating a convolutional neural network and generalized S-Transformation.

Computers in biology and medicine Sep 29, 2018
Electrocardiogram (ECG) is gaining increased attention as a biometric method in a wide range of applications, such as access control and security/privacy requirements. The majority of reported investigations using the ECG biometric method are usually...
Humans Signal Processing, Computer-Assisted Neural Networks, Computer Male Female Atrial Fibrillation Middle Aged Algorithms Reproducibility of Results Heart Rate Adolescent Aged Databases, Factual Biometric Identification Computational Biology Young Adult Normal Distribution Electrocardiography Adult
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Machine learning based framework to predict cardiac arrests in a paediatric intensive care unit : Prediction of cardiac arrests.

Journal of clinical monitoring and computing Sep 27, 2018
A cardiac arrest is a life-threatening event, often fatal. Whilst clinicians classify some of the cardiac arrests as potentially predictable, the majority are difficult to identify even in a post-incident analysis. Changes in some patients' physiolog...
Software Critical Illness Infant, Newborn Reproducibility of Results Sensitivity and Specificity Infant Child, Preschool Child Intensive Care Units, Pediatric Monitoring, Physiologic Systole Blood Pressure Respiratory Rate Humans Oxygen Heart Arrest Machine Learning Signal Processing, Computer-Assisted Heart Rate Critical Care
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Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video).

Gastrointestinal endoscopy Sep 27, 2018
BACKGROUND AND AIMS: In the treatment of ulcerative colitis (UC), an incremental benefit of achieving histologic healing beyond that of endoscopic mucosal healing has been suggested; persistent histologic inflammation increases the risk of exacerbati...
Intestinal Mucosa Rectum Automation Colon Colonoscopy Diagnosis, Computer-Assisted Inflammation Colitis, Ulcerative Female Reproducibility of Results Sensitivity and Specificity Humans Male Artificial Intelligence Middle Aged Machine Learning Algorithms Retrospective Studies
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Estrous detection by continuous measurements of vaginal temperature and conductivity with supervised machine learning in cattle.

Theriogenology Sep 27, 2018
This study aimed to evaluate the effectiveness of estrous detection technique based on continuous measurements of vaginal temperature (VT) and conductivity (VC) with supervised machine learning in cattle. The VT and VC of 17 cows in tie-stalls were m...
Estrus Longitudinal Studies Female Monitoring, Physiologic Reproducibility of Results Supervised Machine Learning Animals Body Temperature Cattle Sexual Behavior, Animal
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