AIMC Topic: Reproducibility of Results

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Comparison of Knowledge-based Iterative Model Reconstruction and Hybrid Reconstruction Techniques for Liver CT Evaluation of Hypervascular Hepatocellular Carcinoma.

Journal of computer assisted tomography Jan 1, 2016
OBJECTIVE: The purpose of this work was to evaluate the image quality, lesion conspicuity, and dose reduction provided by knowledge-based iterative model reconstruction (IMR) in computed tomography (CT) of the liver compared with hybrid iterative rec...
Adult Sensitivity and Specificity Male Middle Aged Liver Neoplasms Republic of Korea Female Reproducibility of Results Aged Knowledge Bases Neovascularization, Pathologic Humans Pattern Recognition, Automated Machine Learning Multidetector Computed Tomography Algorithms Radiographic Image Enhancement Computer Simulation Carcinoma, Hepatocellular Liver Radiographic Image Interpretation, Computer-Assisted Models, Biological
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Towards a Wireless Smart Polysomnograph Using Symbolic Fusion.

Studies in health technology and informatics Jan 1, 2016
Polysomnography is the gold standard test for sleep disorders among which the Sleep Apnea Syndrome (SAS) is considered a public health issue because of the increase of the cardio-and cerebro-vascular risk it is associated with. However, the reliabili...
Equipment Design Sleep Apnea Syndromes Pattern Recognition, Automated Equipment Failure Analysis Polysomnography Wireless Technology Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Decision Support Systems, Clinical Humans Artificial Intelligence
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Automated Tracking and Quantification of Autistic Behavioral Symptoms Using Microsoft Kinect.

Studies in health technology and informatics Jan 1, 2016
The prevalence of autism spectrum disorder (ASD) has risen significantly in the last ten years, and today, roughly 1 in 68 children has been diagnosed. One hallmark set of symptoms in this disorder are stereotypical motor movements. These repetitive ...
Humans Machine Learning Video Games Mental Disorders Whole Body Imaging Female Diagnosis, Computer-Assisted Reproducibility of Results Imaging, Three-Dimensional Sensitivity and Specificity Pattern Recognition, Automated Male Autistic Disorder Actigraphy
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ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2016
In recent years, thanks to the efforts of individual scientists and research consortiums, a huge amount of chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) experimental data have been accumulated. Instead of investigati...
Databases, Genetic Cell Line Oligonucleotide Array Sequence Analysis Chromatin Immunoprecipitation Humans Machine Learning Algorithms Reproducibility of Results Computational Biology Models, Theoretical Transcription Factors
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Histogram-Based Discrimination of Intravenous Contrast in Abdominopelvic Computed Tomography.

Journal of computer assisted tomography Jan 1, 2016
OBJECTIVE: The aim of this study was to evaluate the accuracy of fully automated machine learning methods for detecting intravenous contrast in computed tomography (CT) studies of the abdomen and pelvis.
Contrast Media Radiography, Abdominal Pelvis Algorithms Administration, Intravenous Humans Tomography, X-Ray Computed Radiographic Image Enhancement Artificial Intelligence Reproducibility of Results Logistic Models
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Use of a Machine Learning-Based High Content Analysis Approach to Identify Photoreceptor Neurite Promoting Molecules.

Advances in experimental medicine and biology Jan 1, 2016
High content analysis (HCA) has become a leading methodology in phenotypic drug discovery efforts. Typical HCA workflows include imaging cells using an automated microscope and analyzing the data using algorithms designed to quantify one or more spec...
Phosphotransferases Photoreceptor Cells, Vertebrate Animals Computational Biology Enzyme Inhibitors Neurites Green Fluorescent Proteins Mice, Transgenic Small Molecule Libraries Primary Cell Culture Cell Tracking Machine Learning Algorithms Cells, Cultured Reproducibility of Results
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Machine learning models in breast cancer survival prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2016
BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate among women. With the early diagnosis of breast cancer survival will increase from 56% to more than 86%. Therefore, an accurate and reliable system is necessary fo...
Female Reproducibility of Results Aged Aged, 80 and over Young Adult Humans Machine Learning Male Middle Aged Diagnosis, Computer-Assisted Adolescent Models, Theoretical Adult Survival Rate Sensitivity and Specificity Breast Neoplasms Early Detection of Cancer Predictive Value of Tests
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Spectrophotometric Methods for Simultaneous Determination of Amlodipine Besylate and Atenolol in Their Tablet Dosage Form.

Guang pu xue yu guang pu fen xi = Guang pu Dec 1, 2015
Three simple, specific, accurate and precise spectrophotometric methods are developed for simultaneous determination of amlodipine besylate (AM) and atenolol (AT) in tablets. The first method is dual wavelength spectrophotometry (DW). The second meth...
Spectrophotometry Amlodipine Atenolol Reproducibility of Results Sensitivity and Specificity Tablets Calibration
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HUMAN DNA QUANTIFICATION IN THE STOOLS OF PATIENTS WITH COLORECTAL CANCER.

Arquivos de gastroenterologia Dec 1, 2015
BACKGROUND: Colorectal cancer is one of the main cause of cancer in the world. Colonoscopy is the best screen method, however the compliance is less than 50%. Quantification of human DNA (hDNA) in the feces may be a possible screen non-invasive metho...
Female ROC Curve Humans Biomarkers, Tumor Neoplasm Staging Reproducibility of Results Male Polymerase Chain Reaction Sensitivity and Specificity Colonoscopy DNA, Neoplasm Colorectal Neoplasms Case-Control Studies Feces
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Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging.

Journal of biomedical optics Dec 1, 2015
Multispectral imaging (MSI) was implemented to develop a burn tissue classification device to assist burn surgeons in planning and performing debridement surgery. To build a classification model via machine learning, training data accurately represen...
Optical Imaging Subtraction Technique Machine Learning Algorithms Dermoscopy Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Artifacts Animals Spectrum Analysis Swine Pattern Recognition, Automated Skin Image Enhancement Burns
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