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Automated estimation of image quality for coronary computed tomographic angiography using machine learning.

European radiology Mar 23, 2018
OBJECTIVES: Our goal was to evaluate the efficacy of a fully automated method for assessing the image quality (IQ) of coronary computed tomography angiography (CCTA).
Area Under Curve Coronary Artery Disease Computed Tomography Angiography Radiographic Image Enhancement Aged Male Middle Aged Humans Machine Learning Female
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Robotically-driven orthoses exert proximal-to-distal differential recovery on the lower limbs in children with hemiplegia, early after acquired brain injury.

European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society Mar 23, 2018
Robotically-driven orthoses (RDO) are promising for treating gait impairment in children with hemiplegia after acquired brain injury (ABI). Despite this, existing literature on the employment of RDO in ABI is scanty, and cohorts' age spans throughout...
Exercise Therapy Orthotic Devices Hemiplegia Brain Injuries Robotics Gait Adolescent Child Lower Extremity Female Biomechanical Phenomena Humans Male Prospective Studies Pilot Projects
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Healthcare-associated ventriculitis and meningitis in a neuro-ICU: Incidence and risk factors selected by machine learning approach.

Journal of critical care Mar 23, 2018
PURPOSE: To define the incidence of healthcare-associated ventriculitis and meningitis (HAVM) in the neuro-ICU and to identify HAVM risk factors using tree-based machine learning (ML) algorithms.
Adolescent Incidence Child, Preschool Male Middle Aged Meningitis, Bacterial Child Postoperative Complications Machine Learning Russia Humans Surgical Wound Infection Prospective Studies Craniotomy Cross Infection Intensive Care Units Young Adult Cerebral Ventriculitis Female Adult Risk Factors
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Editorial on special issue: Machine learning on MCI.

Journal of neuroscience methods Mar 23, 2018
Humans Image Processing, Computer-Assisted Machine Learning Brain Magnetic Resonance Imaging Cognitive Dysfunction
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A machine learning approach to the accurate prediction of monitor units for a compact proton machine.

Medical physics Mar 23, 2018
PURPOSE: Clinical treatment planning systems for proton therapy currently do not calculate monitor units (MUs) in passive scatter proton therapy due to the complexity of the beam delivery systems. Physical phantom measurements are commonly employed t...
Scattering, Radiation Phantoms, Imaging Proton Therapy Humans Machine Learning Radiotherapy Planning, Computer-Assisted
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Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images.

Medical physics Mar 23, 2018
PURPOSE: Accurate 3D image segmentation is a crucial step in radiation therapy planning of head and neck tumors. These segmentation results are currently obtained by manual outlining of tissues, which is a tedious and time-consuming procedure. Automa...
Humans Head and Neck Neoplasms Neural Networks, Computer Joints Tomography, X-Ray Computed Imaging, Three-Dimensional
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Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI.

EBioMedicine Mar 23, 2018
BACKGROUND: A lack of a sufficiently large sample at single sites causes poor generalizability in automatic diagnosis classification of heterogeneous psychiatric disorders such as schizophrenia based on brain imaging scans. Advanced deep learning met...
Female Adult Humans Machine Learning Demography Male Discriminant Analysis Support Vector Machine Schizophrenia Magnetic Resonance Imaging Neural Pathways
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Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations.

Scientific reports Mar 23, 2018
Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis - the ontolo...
Evolution, Molecular Molecular Sequence Annotation Gene Ontology Computational Biology Models, Genetic Databases, Genetic Humans Reproducibility of Results
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Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease.

PloS one Mar 23, 2018
Early diagnosis is critical for individuals with Alzheimer's disease (AD) in clinical practice because its progress is irreversible. In the existing literature, support vector machine (SVM) has always been applied to distinguish between AD and health...
Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Aged Alzheimer Disease Humans Aged, 80 and over Neuroimaging Brain Male Female
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Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition.

IEEE transactions on cybernetics Mar 22, 2018
Fine-grained visual recognition is an important problem in pattern recognition applications. However, it is a challenging task due to the subtle interclass difference and large intraclass variation. Recent visual attention models are able to automati...
Databases, Factual Image Processing, Computer-Assisted Video Recording Neural Networks, Computer Machine Learning Algorithms Humans Pattern Recognition, Automated
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