Search results for "Application"

showing 10 items of 5559 documents

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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Automatic left ventricle volume calculation with explainability through a deep learning weak-supervision methodology

2021

[EN] Background and objective: Magnetic resonance imaging is the most reliable imaging technique to assess the heart. More specifically there is great importance in the analysis of the left ventricle, as the main pathologies directly affect this region. In order to characterize the left ventricle, it is necessary to extract its volume. In this work we present a neural network architecture that is capable of directly estimating the left ventricle volume in short axis cine Magnetic Resonance Imaging in the end-diastolic frame and provide a segmentation of the region which is the basis of the volume calculation, thus offering explain-ability to the estimated value. Methods: The network was des…

Computer scienceHeart VentriclesMagnetic Resonance Imaging CineHealth InformaticsWeak supervisionTECNOLOGIA ELECTRONICAsymbols.namesakeMagnetic resonance imagingSegmentationApproximation errorImage Processing Computer-AssistedHumansSegmentationBasis (linear algebra)Artificial neural networkbusiness.industryDeep learningPattern recognitionHeartDeep learningLeft ventricleExplainabilityPearson product-moment correlation coefficientComputer Science ApplicationsTest setsymbolsArtificial intelligenceNeural Networks ComputerbusinessSoftwareVolume (compression)
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Visually Perceived Distance Judgments: Tablet-Based Augmented Reality Versus the Real World

2016

Does visually perceived distance differ when objects are viewed in augmented reality (AR), as opposed to the real world? What are the differences? These questions are theoretically interesting, and the answers are important for the development of many tablet- and phone-based AR applications, including mobile AR navigation systems. This article presents a thorough literature review of distance judgment experimental protocols, and results from several areas of perceptual psychology. In addition to distance judgments of real and virtual objects, this section also discusses previous work in measuring the geometry of virtual picture space and considers how this work might be relevant to tablet A…

Computer scienceHuman Factors and Ergonomics02 engineering and technologySpace (commercial competition)050105 experimental psychologyField (computer science)0202 electrical engineering electronic engineering information engineeringAR application0501 psychology and cognitive sciencesPerceptual psychologyComputer visiondistance perceptionta113experimental protocolstablet-based augmented realitybusiness.industrybisection05 social sciencesnavigation systems020207 software engineeringaugmented realityComputer Science ApplicationsHuman-Computer Interactioncellular telephone systemsAugmented realityArtificial intelligencebusinessInternational Journal of Human–Computer Interaction
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A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning

2017

Progress in biomechanical modelling of human soft tissue is the basis for the development of new clinical applications capable of improving the diagnosis and treatment of some diseases (e.g. cancer), as well as the surgical planning and guidance of some interventions. The finite element method (FEM) is one of the most popular techniques used to predict the deformation of the human soft tissue due to its high accuracy. However, FEM has an associated high computational cost, which makes it difficult its integration in real-time computer-aided surgery systems. An alternative for simulating the mechanical behaviour of human organs in real time comes from the use of machine learning (ML) techniq…

Computer scienceINGENIERIA MECANICA02 engineering and technologyMachine learningcomputer.software_genreSurgical planning030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineBiomechanical behaviourArtificial IntelligenceMachine learning0202 electrical engineering electronic engineering information engineeringSimulationTree-based regressionDeformation (mechanics)business.industryGeneral EngineeringSoft tissueFinite element methodComputer Science ApplicationsData setTree (data structure)LiverSoft tissue deformation020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerLENGUAJES Y SISTEMAS INFORMATICOS
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Unsupervised image processing scheme for transistor photon emission analysis in order to identify defect location

2015

International audience; The study of the light emitted by transistors in a highly scaled complementary metal oxide semiconductor (CMOS) integrated circuit (IC) has become a key method with which to analyze faulty devices, track the failure root cause, and have candidate locations for where to start the physical analysis. The localization of defective areas in IC corresponds to a reliability check and gives information to the designer to improve the IC design. The scaling of CMOS leads to an increase in the number of active nodes inside the acquisition area. There are also more differences between the spot’s intensities. In order to improve the identification of all of the photon emission sp…

Computer scienceImage processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyIntegrated circuitIntegrated circuit design01 natural scienceslaw.inventionlaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer visionElectrical and Electronic Engineering[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics010302 applied physicsSignal processingNoise (signal processing)business.industryPattern recognitionImage segmentationThresholdingAtomic and Molecular Physics and OpticsComputer Science ApplicationsCMOS[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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WSN Design and Verification Using On-Board Executable Specifications

2019

The gap between informal functional specifications and the resulting implementation in the chosen programming language is notably a source of errors in embedded systems design. In this paper, we discuss a methodology and a software platform aimed at coping with this issue in programming resource-constrained wireless sensor network nodes (WSNs). Whereas the typical development model for the WSNs is based on cross compilation, the proposed approach supports high-level symbolic coding of abstract models and distributed applications, as well as their test and their execution, directly on the target hardware. As a working example, we discuss the application of our methodology to specify the func…

Computer scienceInformation System02 engineering and technologywireless sensor networkSoftware0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringEmbedded systemsymbolic programmingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFunctional specificationbusiness.industry020208 electrical & electronic engineeringRuntime verificationresource-constrained deviceComputer Science Applications1707 Computer Vision and Pattern Recognitioncomputer.file_formatsystem specificationComputer Science ApplicationsControl and Systems EngineeringEmbedded systemsystem programmingExecutablebusinesscomputerInformation SystemsIEEE Transactions on Industrial Informatics
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Off-line Programming and simulation for automatic robot control software generation

2007

In this paper an off-line programming approach for welding robots is presented. The approach is based on the integration of a software tool for robot simulation and an user-friendly interface for automatic generation of the control program. The user can graphically arrange the components in a robotic work-cell and simulate the movements and operations of robotic arms before converting motions and operating sequences in controller-specific tasks. This methodology guarantees high level of flexibility of the robotic system when high variety of work-pieces needs to be welded. The approach has been implemented and tested in a real welding work-cell.

Computer scienceInterface (computing)ComputerApplications_COMPUTERSINOTHERSYSTEMSControl engineeringWeldingComputer simulationControl system analysisRobot applicationsRobotic armsSettore ING-IND/35 - Ingegneria Economico-GestionaleRobot controllaw.inventionRobot weldinglawRobotUser interfaceAutomatic programmingRobotic armSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSimulation
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Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images

2012

This paper tackles the design of a graphical user interface (GUI) based on Matlab (MathWorks Inc., MA), a worldwide standard in the processing of biosignals, which allows the acquisition of muscular force signals and images from a ultrasound scanner simultaneously. Thus, it is possible to unify two key magnitudes for analyzing the evolution of muscular injuries: the force exerted by the muscle and section/length of the muscle when such force is exerted. This paper describes the modules developed to finally show its applicability with a case study to analyze the functioning capacity of the shoulder rotator cuff.

Computer scienceInterface (computing)Health InformaticsRotator Cuff InjuriesRotator CuffUser-Computer InterfaceIsometric ContractionmedicineHumansMuscular forceRotator cuffMuscle StrengthMuscle SkeletalMATLABSimulationGraphical user interfacecomputer.programming_languagebusiness.industrySignal Processing Computer-AssistedUltrasonography DopplerBiomechanical PhenomenaComputer Science Applicationsmedicine.anatomical_structureDoppler ultrasoundbusinesscomputerSoftwareComputer Methods and Programs in Biomedicine
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pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components

2019

AbstractBackgroundPrincipal component analysis (PCA) is frequently useentirely written ind in genomics applications for quality assessment and exploratory analysis in high-dimensional data, such as RNA sequencing (RNA-seq) gene expression assays. Despite the availability of many software packages developed for this purpose, an interactive and comprehensive interface for performing these operations is lacking.ResultsWe developed the pcaExplorer software package to enhance commonly performed analysis steps with an interactive and user-friendly application, which provides state saving as well as the automated creation of reproducible reports. pcaExplorer is implemented in R using the Shiny fra…

Computer scienceInterface (computing)ShinyBioconductorPrincipal component analysis610 MedizinRNA-SeqGenomicslcsh:Computer applications to medicine. Medical informaticsReproducible researchBioconductorTranscriptomeExploratory data analysisUser-friendly610 Medical sciencesGene expressionHumansRNA-SeqGenelcsh:QH301-705.5Data CurationBase Sequencebusiness.industrySequence Analysis RNARRNAReproducibility of Resultslcsh:Biology (General)Principal component analysisRNAlcsh:R858-859.7Software engineeringbusinessSoftware
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