AIMC Topic: Algorithms

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Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging.

European radiology Nov 15, 2018
OBJECTIVES: Preoperative, noninvasive prediction of the meningioma grade is important because it influences the treatment strategy. The purpose of this study was to evaluate the role of radiomics features of postcontrast T1-weighted images (T1C), app...
Humans Machine Learning Female Reproducibility of Results Algorithms Retrospective Studies Anisotropy Meningeal Neoplasms Diffusion Tensor Imaging Aged Meningioma Sensitivity and Specificity Male Middle Aged Neoplasm Grading
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Comparison of mixing layer height inversion algorithms using lidar and a pollution case study in Baoding, China.

Journal of environmental sciences (China) Nov 15, 2018
Beijing-Tianjin-Hebei area is suffering from atmospheric pollution from a long time. The understanding of the air pollution mechanism is of great importance for officials to design strategies for the environmental governance. Mixing layer height (MLH...
Altitude Remote Sensing Technology Air Pollution Air Movements Algorithms China Environmental Monitoring
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Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.

Medical image analysis Nov 15, 2018
Excellent image quality is a primary prerequisite for diagnostic non-invasive coronary CT angiography. Artifacts due to cardiac motion may interfere with detection and diagnosis of coronary artery disease and render subsequent treatment decisions mor...
Neural Networks, Computer Software Computed Tomography Angiography Algorithms Supervised Machine Learning Humans Motion Cardiac-Gated Imaging Techniques Coronary Angiography Artifacts
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Blood Sugar Level Indication Through Chewing and Swallowing from Acoustic MEMS Sensor and Deep Learning Algorithm for Diabetic Management.

Journal of medical systems Nov 15, 2018
Diabetes, a metabolic disorder due to high blood glycemic index in the human body. The glycemic index varies in the human of improper diet and eating pattern such as junk foods, variation in the quantity of food, swallowing of food without chewing an...
Humans Mastication Algorithms Saliva Deglutition Deep Learning Micro-Electrical-Mechanical Systems Glycemic Index Blood Glucose Diabetes Mellitus
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Machine learning algorithms for activity recognition in ambulant children and adolescents with cerebral palsy.

Journal of neuroengineering and rehabilitation Nov 15, 2018
BACKGROUND: Cerebral palsy (CP) is the most common physical disability among children (2.5 to 3.6 cases per 1000 live births). Inadequate physical activity (PA) is a major problem effecting the health and well-being of children with CP. Practical, ye...
Female Male Exercise Cerebral Palsy Humans Accelerometry Machine Learning Adolescent Algorithms Child
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Learning protein binding affinity using privileged information.

BMC bioinformatics Nov 15, 2018
BACKGROUND: Determining protein-protein interactions and their binding affinity are important in understanding cellular biological processes, discovery and design of novel therapeutics, protein engineering, and mutagenesis studies. Due to the time an...
ROC Curve Protein Binding Computational Biology Support Vector Machine Machine Learning Algorithms Reproducibility of Results Proteins Amino Acid Sequence Ligands
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Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters.

Computational intelligence and neuroscience Nov 15, 2018
Detection of defects including cracks and spalls on wall surface in high-rise buildings is a crucial task of buildings' maintenance. If left undetected and untreated, these defects can significantly affect the structural integrity and the aesthetic a...
Humans Image Interpretation, Computer-Assisted Machine Learning Pattern Recognition, Automated Algorithms Support Vector Machine Least-Squares Analysis Image Processing, Computer-Assisted
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Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions.

Palliative medicine Nov 14, 2018
Humans Algorithms Health Personnel Intensive Care Units Guidelines as Topic Boston Middle Aged Admitting Department, Hospital Deep Learning Critical Care Female Documentation Adult Male
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Exploring Active Learning Based on Representativeness and Uncertainty for Biomedical Data Classification.

IEEE journal of biomedical and health informatics Nov 13, 2018
Nowadays, there is an abundance of biomedical data, such as images and genetic sequences, among others. However, there is a lack of annotation to such volume of data, due to the high costs involved to perform this task. Thus, it is mandatory to devel...
Diagnosis, Computer-Assisted Medical Informatics Knowledge Discovery Humans Databases, Factual Neoplasms Machine Learning Algorithms
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Simultaneous NODDI and GFA parameter map generation from subsampled q-space imaging using deep learning.

Magnetic resonance in medicine Nov 13, 2018
PURPOSE: To develop a robust multidimensional deep-learning based method to simultaneously generate accurate neurite orientation dispersion and density imaging (NODDI) and generalized fractional anisotropy (GFA) parameter maps from undersampled q-spa...
Aged Algorithms Male Brain Ischemia Brain Middle Aged Neurites Humans Deep Learning Neural Networks, Computer Anisotropy Prognosis Imaging, Three-Dimensional Diffusion Magnetic Resonance Imaging Female Treatment Outcome Reproducibility of Results Stroke
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