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
2022
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
You C, Zhou Y, Zhao R, Staib L, Duncan JS. SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. IEEE Transactions On Medical Imaging 2022, 41: 2228-2237. PMID: 35320095, PMCID: PMC10325835, DOI: 10.1109/tmi.2022.3161829.Peer-Reviewed Original ResearchMeSH KeywordsDistillationImage Processing, Computer-AssistedSupervised Machine LearningTomography, X-Ray ComputedConceptsMedical image segmentationImage segmentationSemi-supervised medical image segmentationRobust Medical Image SegmentationMedical image analysisUnsupervised training strategyAtrial Segmentation ChallengeLearning-based approachMedical image synthesisAverage Dice scoreSemi-supervised approachPair-wise similarityContrastive objectiveData augmentationSegmentation challengePopular datasetsDice scoreSemantic informationDistillation frameworkSegmentation accuracyDownstream tasksImage synthesisPrevious best resultSupervised counterpartMedical data
2020
Sparse Data–Driven Learning for Effective and Efficient Biomedical Image Segmentation
Onofrey JA, Staib LH, Huang X, Zhang F, Papademetris X, Metaxas D, Rueckert D, Duncan JS. Sparse Data–Driven Learning for Effective and Efficient Biomedical Image Segmentation. Annual Review Of Biomedical Engineering 2020, 22: 1-27. PMID: 32169002, PMCID: PMC9351438, DOI: 10.1146/annurev-bioeng-060418-052147.Peer-Reviewed Original ResearchImpact of Radiologist-Driven Change-Order Requests on Outpatient CT and MRI Examinations
Pourjabbar S, Cavallo JJ, Arango J, Tocino I, Staib LH, Imanzadeh A, Forman HP, Pahade JK. Impact of Radiologist-Driven Change-Order Requests on Outpatient CT and MRI Examinations. Journal Of The American College Of Radiology 2020, 17: 1014-1024. PMID: 31954708, DOI: 10.1016/j.jacr.2019.12.017.Peer-Reviewed Original ResearchMeSH KeywordsHumansMagnetic Resonance ImagingOutpatientsPhysical ExaminationRadiologistsTomography, X-Ray Computed
2018
Does MR enterography offer added value after a recent CT in the evaluation of abdominal pain in Crohn's disease patients?
Spektor M, Mathur M, Santacana G, Asch D, Huber S, Staib L, Israel G. Does MR enterography offer added value after a recent CT in the evaluation of abdominal pain in Crohn's disease patients? Clinical Imaging 2018, 54: 78-83. PMID: 30562678, DOI: 10.1016/j.clinimag.2018.12.002.Peer-Reviewed Original ResearchConceptsAbdominal painCrohn's diseaseDisease patientsHigher health care costsAcute abdominal painBowel wall thickeningCrohn's disease patientsContrast-enhanced CTStrict inclusion criteriaHealth care costsModerate interobserver agreementRecent CTBowel obstructionConsecutive patientsMR enterographyPatient riskInclusion criteriaBlinded reviewAbdominal radiologistsMRE examinationsCare costsWall thickeningFree fluidRoutine useDiagnostic CTSegmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning
Onofrey JA, Staib LH, Papademetris X. Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning. IEEE Transactions On Medical Imaging 2018, 38: 596-607. PMID: 30176584, PMCID: PMC6476428, DOI: 10.1109/tmi.2018.2868045.Peer-Reviewed Original ResearchMeSH KeywordsArtifactsBrainDeep LearningHumansImage Processing, Computer-AssistedSurgery, Computer-AssistedTomography, X-Ray Computed
2015
Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients
Onofrey JA, Staib LH, Papademetris X. Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients. NeuroImage Clinical 2015, 10: 291-301. PMID: 26900569, PMCID: PMC4724039, DOI: 10.1016/j.nicl.2015.12.001.Peer-Reviewed Original ResearchSegmenting 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 ResearchThe clinical impact of gynecologic MRI.
Ratner ES, Staib LH, Cross SN, Raji R, Schwartz PE, McCarthy SM. The clinical impact of gynecologic MRI. American Journal Of Roentgenology 2015, 204: 674-80. PMID: 25714302, DOI: 10.2214/ajr.14.12567.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedChildFemaleGenital Diseases, FemaleGenital Neoplasms, FemaleHumansMagnetic Resonance ImagingMiddle AgedTomography, X-Ray ComputedUltrasonographyYoung AdultConceptsPelvic MRIFirst modalityClinical managementClinical impactGynecologic massesIndeterminate pelvic massesGroup of patientsResults of MRIRadiologic recordsRadiologic findingsPelvic massClinical recordsUnnecessary surgeryMedical recordsCT examinationsFurther endpointsExact diagnosisPatientsSurgeryIndeterminate massesPatient treatmentMRIDiagnosisModalitiesResultant anxiety
2014
Using SUV as a Guide to 18F-FDG Dose Reduction
Cheng DW, Ersahin D, Staib LH, Della Latta D, Giorgetti A, d’Errico F. Using SUV as a Guide to 18F-FDG Dose Reduction. Journal Of Nuclear Medicine 2014, 55: 1998-2002. PMID: 25453048, DOI: 10.2967/jnumed.114.140129.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
2011
An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy
Lu C, Chelikani S, Papademetris X, Knisely JP, Milosevic MF, Chen Z, Jaffray DA, Staib LH, Duncan JS. An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy. Medical Image Analysis 2011, 15: 772-785. PMID: 21646038, PMCID: PMC3164526, DOI: 10.1016/j.media.2011.05.010.Peer-Reviewed Original ResearchAlgorithmsBayes TheoremFemaleHumansImaging, Three-DimensionalMaleProstatic NeoplasmsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiotherapy, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueSystems IntegrationTomography, X-Ray ComputedUterine Cervical NeoplasmsTargeted Imaging of the Spatial and Temporal Variation of Matrix Metalloproteinase Activity in a Porcine Model of Postinfarct Remodeling
Sahul ZH, Mukherjee R, Song J, McAteer J, Stroud RE, Dione DP, Staib L, Papademetris X, Dobrucki LW, Duncan JS, Spinale FG, Sinusas AJ. Targeted Imaging of the Spatial and Temporal Variation of Matrix Metalloproteinase Activity in a Porcine Model of Postinfarct Remodeling. Circulation Cardiovascular Imaging 2011, 4: 381-391. PMID: 21505092, PMCID: PMC3140564, DOI: 10.1161/circimaging.110.961854.Peer-Reviewed Original Research
2010
Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy
Lu C, Chelikani S, Chen Z, Papademetris X, Staib LH, Duncan JS. Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy. Lecture Notes In Computer Science 2010, 13: 53-60. PMID: 20879214, DOI: 10.1007/978-3-642-15705-9_7.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsHumansImaging, Three-DimensionalMaleProstatic NeoplasmsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedRadiotherapy, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueSystems IntegrationTomography, X-Ray ComputedConceptsManual segmentationAutomatic segmentationImportant treatment parametersNonrigid registrationImage-guided radiotherapy systemReal patient dataNon-rigid registrationIntegrated SegmentationRegistration partRadiotherapy linear acceleratorSegmentationTreatment imagesImage qualityCone-beam CTTreatment parametersImagesPromising resultsPatient dataKey anatomical structuresLinear acceleratorRegistrationPrevious workRadiotherapy system
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
A 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
2006
Advances in Radiologic Image Analysis from MICCAI 2005
Staib LH, Styner M. Advances in Radiologic Image Analysis from MICCAI 2005. Academic Radiology 2006, 13: 1053-1054. PMID: 16935716, DOI: 10.1016/j.acra.2006.06.013.Peer-Reviewed Original ResearchAlgorithmsImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingTomography, X-Ray Computed
2005
Characterizing 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
Entropy-Based Dual-Portal-to-3-DCT Registration Incorporating Pixel Correlation
Bansal R, Staib LH, Chen Z, Rangarajan A, Knisely J, Nath R, Duncan JS. Entropy-Based Dual-Portal-to-3-DCT Registration Incorporating Pixel Correlation. IEEE Transactions On Medical Imaging 2003, 22: 29. PMID: 12703758, DOI: 10.1109/tmi.2002.806430.Peer-Reviewed Original ResearchConceptsRegistration frameworkImage dataMutual information-based registration algorithmRegistration parametersPortal imagesUltrasound image dataReal patient dataTomography image dataImage pixelsPixel correlationRegistration algorithmPatient setup verificationSegmentationPixel intensityMarkov random processInitial versionTransformation parametersAppropriate entropyImagesAlgorithmPatient dataFrameworkCT imagesLine processSetup verification
1999
A minimax entropy registration framework for patient setup verification in radiotherapy
Bansal R, Staib L, Chen Z, Rangarajan A, Knisely J, Nath R, Duncan J. A minimax entropy registration framework for patient setup verification in radiotherapy. Computer Assisted Surgery 1999, 4: 287-304. PMID: 10631372, DOI: 10.1002/(sici)1097-0150(1999)4:6<287::aid-igs1>3.0.co;2-9.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsEntropyHumansModels, TheoreticalPhantoms, ImagingRadiotherapyTomography, X-Ray Computed