2023
A Multiclass Radiomics Method–Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans
Henao J, Depotter A, Bower D, Bajercius H, Todorova P, Saint-James H, de Mortanges A, Barroso M, He J, Yang J, You C, Staib L, Gange C, Ledda R, Caminiti C, Silva M, Cortopassi I, Dela Cruz C, Hautz W, Bonel H, Sverzellati N, Duncan J, Reyes M, Poellinger A. A Multiclass Radiomics Method–Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans. Investigative Radiology 2023, 58: 882-893. PMID: 37493348, PMCID: PMC10662611, DOI: 10.1097/rli.0000000000001005.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceCOVID-19Disease ProgressionHumansLungRetrospective StudiesTomography, X-Ray ComputedConceptsCOVID-19 positive patientsClinical Progression ScaleLung lesionsLesion modelDisease severityGround-glass opacitiesCOVID-19 patientsRadiologist assessmentExpert thoracic radiologistsMulticenter cohortPleural effusionDisease extentRetrospective studyDevelopment cohortPatient assessmentTomography scanCT scanSeverity ScalePatient's diseaseTissue lesionsThoracic radiologistsLesionsPatientsRadiomics modelRadiomic features
2015
Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration
Onofrey JA, Staib LH, Papademetris X. Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration. Lecture Notes In Computer Science 2015, 24: 662-674. PMID: 26221711, PMCID: PMC5266617, DOI: 10.1007/978-3-319-19992-4_52.Peer-Reviewed Original Research
2013
Learning Nonrigid Deformations for Constrained Multi-modal Image Registration
Onofrey JA, Staib LH, Papademetris X. Learning Nonrigid Deformations for Constrained Multi-modal Image Registration. Lecture Notes In Computer Science 2013, 16: 171-178. PMID: 24505758, PMCID: PMC4044829, DOI: 10.1007/978-3-642-40760-4_22.Peer-Reviewed Original Research
2009
Constrained non-rigid registration for use in image-guided adaptive radiotherapy
Greene WH, Chelikani S, Purushothaman K, Knisely JP, Chen Z, Papademetris X, Staib LH, Duncan JS. Constrained non-rigid registration for use in image-guided adaptive radiotherapy. Medical Image Analysis 2009, 13: 809-817. PMID: 19682945, PMCID: PMC2771756, DOI: 10.1016/j.media.2009.07.004.Peer-Reviewed Original ResearchAlgorithmsArtificial IntelligenceHumansMalePattern Recognition, AutomatedProstatic NeoplasmsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiotherapy, Computer-AssistedRadiotherapy, ConformalReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueTomography, X-Ray Computed
2008
Calculation of the confidence intervals for transformation parameters in the registration of medical images
Bansal R, Staib LH, Laine AF, Xu D, Liu J, Posecion LF, Peterson BS. Calculation of the confidence intervals for transformation parameters in the registration of medical images. Medical Image Analysis 2008, 13: 215-233. PMID: 19138877, PMCID: PMC2891652, DOI: 10.1016/j.media.2008.09.002.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceConfidence IntervalsCorpus CallosumData Interpretation, StatisticalHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueConceptsSimilarity transformationMultivariate GaussianLeast squares estimationTransformation parametersMathematical frameworkRandom variablesPresence of noiseCovariance matrixLandmark pointsQuantifying errorsSimilarity parameterAmount of misregistrationInherent technological limitationsAmount of noiseGaussianCoordinatesInevitable errorsReal-world datasetsFunctional relationAmount of blurErrorParametersWorld datasetsNoiseConfidence intervalsA Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy
Greene W, Chelikani S, Purushothaman K, Chen Z, Knisely J, Staib L, Papademetris X, Duncan J. A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy. Lecture Notes In Computer Science 2008, 11: 780-788. PMID: 18979817, PMCID: PMC2790815, DOI: 10.1007/978-3-540-85988-8_93.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceHumansImaging, Three-DimensionalMalePattern Recognition, AutomatedProstatic NeoplasmsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiotherapy, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueTomography, X-Ray ComputedConceptsTreatment planProstate image-guided radiotherapyOriginal treatment planRadiation dosageImage-guided radiotherapyTreatment daysRadiotherapy treatment plansCritical organsDifferent patientsPatient dataDifferent treatment daysBladderRectumProstateFemurBone motionCT imagesDosageReal patient dataPatientsRadiotherapy
2005
White matter tractography by anisotropic wavefront evolution and diffusion tensor imaging
Jackowski M, Kao CY, Qiu M, Constable RT, Staib LH. White matter tractography by anisotropic wavefront evolution and diffusion tensor imaging. Medical Image Analysis 2005, 9: 427-440. PMID: 16040268, PMCID: PMC2839167, DOI: 10.1016/j.media.2005.05.008.Peer-Reviewed Original ResearchROC-based assessments of 3D cortical surface-matching algorithms
Bansal R, Staib LH, Whiteman R, Wang YM, Peterson BS. ROC-based assessments of 3D cortical surface-matching algorithms. NeuroImage 2005, 24: 150-162. PMID: 15588606, DOI: 10.1016/j.neuroimage.2004.08.054.Peer-Reviewed Original ResearchArticulated Rigid Registration for Serial Lower-Limb Mouse Imaging
Papademetris X, Dione DP, Dobrucki LW, Staib LH, Sinusas AJ. Articulated Rigid Registration for Serial Lower-Limb Mouse Imaging. Lecture Notes In Computer Science 2005, 8: 919-926. PMID: 16686048, DOI: 10.1007/11566489_113.Peer-Reviewed Original ResearchCharacterizing Vascular Connectivity from microCT Images
Jackowski M, Papademetris X, Dobrucki LW, Sinusas AJ, Staib LH. Characterizing Vascular Connectivity from microCT Images. Lecture Notes In Computer Science 2005, 8: 701-708. PMID: 16686021, DOI: 10.1007/11566489_86.Peer-Reviewed Original Research
2003
Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression
Wang YM, Schultz RT, Constable RT, Staib LH. Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression. Lecture Notes In Computer Science 2003, 18: 647-659. PMID: 15344495, DOI: 10.1007/978-3-540-45087-0_54.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceBrainBrain MappingCluster AnalysisComputer SimulationEvoked Potentials, VisualHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingModels, BiologicalModels, StatisticalNonlinear DynamicsPattern Recognition, AutomatedRegression AnalysisReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedSubtraction TechniqueConceptsGeneral nonlinear frameworkStatistical learning methodologySupport vector regressionNonlinear estimationVector regressionNonlinear frameworkMultiresolution signal analysisLinear modelMotion estimationMulti-task studyMost current methodsData-driven methodSpatio-temporal autocorrelationEstimationVector machineEasy incorporationNoise componentsLearning methodologyNovel formulationSignal analysisData analysisInterpolation