Search results for "pret"

showing 10 items of 2250 documents

Advanced computation in cardiovascular physiology: New challenges and opportunities

2021

Recent developments in computational physiology have successfully exploited advanced signal processing and artificial intelligence tools for predicting or uncovering characteristic features of physiological and pathological states in humans. While these advanced tools have demonstrated excellent diagnostic capabilities, the high complexity of these computational 'black boxes’ may severely limit scientific inference, especially in terms of biological insight about both physiology and pathological aberrations. This theme issue highlights current challenges and opportunities of advanced computational tools for processing dynamical data reflecting autonomic nervous system dynamics, with a speci…

Computer scienceGeneral MathematicsComputationGeneral Physics and AstronomyelectrocardiogramMachine learningcomputer.software_genreComputer-AssistedHeart RateArtificial IntelligenceHumansInterpretabilitySignal processingbusiness.industryDeep learningGeneral Engineeringheart rate variabilitydeep learningSignal Processing Computer-Assistedcardiology; deep learning; electrocardiogram; heart rate variability; interpretability; respiration; Heart Rate; Humans; Nonlinear Dynamics; Signal Processing Computer-Assisted; Algorithms; Artificial IntelligenceCardiovascular physiologyComputational physiologyNonlinear DynamicscardiologySignal ProcessingArtificial intelligencebusinessinterpretabilitycomputerrespirationAlgorithms
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Semi-automated evaluation tool for retinal vasculopathy.

2009

The ocular fundus is the only area of human body where vascular system is visible using relatively simple instrumentation. Furthermore, there is medical suggestive evidence of a direct relationship between certain measures of vascular characteristics in the ocular fundus (arteriolar and venular calibers and focal arteriolar narrowing) and cardiovascular diseases. In order to establish such relationship on sound statistical basis a method must be provided to measure the needed values in an easy, yet precise and repeatable way. This paper presents a system to assist physicians in signaling and storing the data associated to signs of vascular deterioration and vascular calibers in non-mydriati…

Computer scienceHealth InformaticsFundus (eye)Sensitivity and SpecificityPattern Recognition AutomatedUser-Computer InterfaceRetinal DiseasesArtificial IntelligenceImage Interpretation Computer-AssistedmedicinePhotographyHumansComputer visionInstrumentation (computer programming)Vascular DiseasesRetinoscopymedicine.diagnostic_testbusiness.industryPhotographyReproducibility of ResultsRetinal Vesselseye diseasesComputer Science ApplicationsRetinal vasculopathyArtificial intelligencebusinessAlgorithmsSoftwareRetinoscopyComputer methods and programs in biomedicine
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Computational issues in fitting joint frailty models for recurrent events with an associated terminal event.

2020

Abstract Background and objective: Joint frailty regression models are intended for the analysis of recurrent event times in the presence of informative drop-outs. They have been proposed for clinical trials to estimate the effect of some treatment on the rate of recurrent heart failure hospitalisations in the presence of drop-outs due to cardiovascular death. Whereas a R-software-package for fitting joint frailty models is available, some technical issues have to be solved in order to use SASⓇ 1 software, which is required in the regulatory environment of clinical trials. Methods: First, we demonstrate how to solve these issues by deriving proper likelihood-decompositions, in particular fo…

Computer scienceHealth InformaticsMachine learningcomputer.software_genre030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineLinear regressionHumansComputer SimulationEvent (probability theory)ProbabilityProportional Hazards ModelsHeart FailureLikelihood FunctionsFrailtybusiness.industryModels CardiovascularReproducibility of ResultsRegression analysisConfidence intervalComputer Science ApplicationsHospitalizationTransformation (function)Data Interpretation StatisticalMultivariate AnalysisArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryAlgorithmsSoftwareComputer methods and programs in biomedicine
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Bias artifact suppression on MR volumes.

2007

RF-Inhomogeneity correction is a relevant research topic in the field of Magnetic Resonance Imaging (MRI). A volume corrupted by this artifact exhibits nonuni- form illumination both inside a single slice and between adjacent ones. In this work a bias correction technique is presented, which suppresses this artifact on MR vol- umes scanned from different body parts without any a-priori hypothesis on the artifact model. Theoretical foundations of the method are reported together with experimental results and a comparison is presented with both the 2D version of the algorithm and other techniques that are widely used in MRI literature.

Computer scienceHealth InformaticsSensitivity and SpecificityImaging Three-DimensionalBiasImage Interpretation Computer-AssistedmedicineComputer visionRF-Inhomogeneity Bias Artifact Illumination correction MR Image Homomorphic filterSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtifact (error)medicine.diagnostic_testbusiness.industryReproducibility of ResultsMagnetic resonance imagingImage EnhancementMagnetic Resonance ImagingComputer Science ApplicationsArtifact suppressionArtificial intelligenceMr imagesbusinessArtifactsSoftwareAlgorithmsVolume (compression)Computer methods and programs in biomedicine
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Image Inpainting Methods Evaluation and Improvement

2014

With the upgrowing of digital processing of images and film archiving, the need for assisted or unsupervised restoration required the development of a series of methods and techniques. Among them, image inpainting is maybe the most impressive and useful. Based on partial derivative equations or texture synthesis, many other hybrid techniques have been proposed recently. The need for an analytical comparison, beside the visual one, urged us to perform the studies shown in the present paper. Starting with an overview of the domain, an evaluation of the five methods was performed using a common benchmark and measuring the PSNR. Conclusions regarding the performance of the investigated algorith…

Computer scienceInpaintinglcsh:MedicineImage processingReview Articlelcsh:TechnologyGeneral Biochemistry Genetics and Molecular BiologyDomain (software engineering)Image (mathematics)Pattern Recognition AutomatedDigital image processingImage Interpretation Computer-AssistedImage Processing Computer-AssistedComputer visionlcsh:ScienceGeneral Environmental Sciencebusiness.industrylcsh:Tlcsh:RGeneral MedicineBenchmark (computing)Partial derivativelcsh:QArtificial intelligencebusinessAlgorithmsTexture synthesisThe Scientific World Journal
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A survey on geometrical reconstruction as a core technology to sketch-based modeling

2005

In this work, the background and evolution of three-dimensional reconstruction of line drawings during the last 30 years is discussed. A new general taxonomy is proposed to make apparent and discuss the historical evolution of geometrical reconstruction and their challenges. The evolution of geometrical reconstruction from recovering know-how stored in engineering drawings to sketch-based modeling for helping in the first steps of conceptual design purposes, and the current challenges of geometrical reconstruction are discussed too.

Computer scienceLine drawingsGeneral EngineeringPerceptual reasoningGeometrical reconstruction taxonomyGraphics recognition and interpretationComputer Graphics and Computer-Aided DesignSketchHuman-Computer InteractionPerceptual reasoningConceptual designSketch-based modelingTaxonomy (general)Computer graphics (images)Core (graph theory)Sketch-based modelingSingle-view reconstructionMultiple-view reconstructionComputingMethodologies_COMPUTERGRAPHICSComputers & Graphics
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Statistical geometric affinity in human brain electric activity

2007

10 pages, 9 figures.-- PACS nrs.: 87.19.La; 05.45.Tp.-- ISI Article Identifier: 000246890100105

Computer scienceModels NeurologicalNeurophysiologyElectroencephalographyInterpretation (model theory)[PACS] Time series analysis (nonlinear dynamical systems)LacunaritymedicineHumansComputer SimulationDiagnosis Computer-AssistedWakefulnessRepresentation (mathematics)ScalingEvoked PotentialsModels Statisticalmedicine.diagnostic_testbusiness.industry[PACS] Neuroscience (higher organisms)BrainPattern recognitionElectroencephalographyNeurophysiologyAmplitudeStatistical analysisData Interpretation StatisticalBioelectric phenomenaLacunarityAffine transformationArtificial intelligenceSleep StagesbusinessSleep
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Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics

2002

In this chapter we first introduce the basic concepts of Monte Carlo sampling, give some details on how Monte Carlo programs need to be organized, and then proceed to the interpretation and analysis of Monte Carlo results.

Computer scienceMonte Carlo methodThermodynamic limitPeriodic boundary conditionsMonte Carlo method in statistical physicsIsing modelStatistical physicsImportance samplingMonte Carlo molecular modelingInterpretation (model theory)
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Object-Oriented Operational Semantics

2016

Operational semantics is one way of providing meaning to an executable language. On a high level of abstraction, operational semantics means to define an interpreter or an abstract machine for the language. In this article, we review the concept of operational semantics in the scope of meta-model-based language definitions and identify challenges and issues. We provide a clean conceptual approach using an object-oriented runtime environment and state change operations, which relies on an underlying abstract virtual machine. We present the approach using a sample language.

Computer scienceProgramming language0102 computer and information sciences02 engineering and technologycomputer.file_formatcomputer.software_genre01 natural sciencesOperational semanticsAbstract machineAction semanticsDenotational semantics010201 computation theory & mathematicsVirtual machine0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingExecutablecomputerInterpreterAbstraction (linguistics)
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Visual knowledge processing in computer-assisted radiology: A consultation system

1992

This paper presents Visual Heuristics, a consultation system for diagnosis based on thorax radiograph recording. Visual Heuristics uses both prototypical representations of physiological and pathological states and reasoning aimed to infer conclusions from pathological or physiological conditions, establishing correspondences between pathological or physiological states and semantic descriptions of images. Images are assembled with groups of descriptors that guide the recognition process, achieving the possibility of comparisons with real images on the basis of 'expected' images. The system may be employed to generate a dynamic atlas that does not contain proper images, but generates them.

Computer scienceThoracicComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONExpert Systemscomputer.software_genreComputer-AssistedArtificial IntelligenceConsultation systemDiagnosisHumansDiagnosis Computer-AssistedArtificial Intelligence Diagnosis; Computer-Assisted; instrumentation Expert Systems Humans Radiographic Image Interpretation; instrumentation Radiography; Thoracic; instrumentation SoftwareinstrumentationObject-oriented programmingbusiness.industryComputer aidKnowledge processingProcess (computing)Radiographic Image InterpretationReal imageVisualizationRadiographyRadiographic Image Interpretation Computer-AssistedRadiography ThoracicArtificial intelligenceData miningbusinessHeuristicscomputerSoftwareNatural language processing
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