2021
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration
Zhou B, Augenfeld Z, Chapiro J, Zhou SK, Liu C, Duncan JS. Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. Medical Image Analysis 2021, 71: 102041. PMID: 33823397, PMCID: PMC8184611, DOI: 10.1016/j.media.2021.102041.Peer-Reviewed Original ResearchConceptsMultimodal registrationLiver segmentationLarge-scale manual annotationGround truthMultimodal image registrationMultimodal registration methodSegmentation networkDomain adaptationManual annotationSource modalityImage registrationRegistration frameworkSegmentationImage-guided interventionsRegistration methodMedical imagingDiagnostic medical imagingCorrect transformationLimited FOVStructure informationIntraprocedural CBCTImage qualitySegmenterExperimental resultsPatient data
2019
Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features
Wang CJ, Hamm CA, Savic LJ, Ferrante M, Schobert I, Schlachter T, Lin M, Weinreb JC, Duncan JS, Chapiro J, Letzen B. Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features. European Radiology 2019, 29: 3348-3357. PMID: 31093705, PMCID: PMC7243989, DOI: 10.1007/s00330-019-06214-8.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAlgorithmsBile Duct NeoplasmsBile Ducts, IntrahepaticCarcinoma, HepatocellularCholangiocarcinomaDeep LearningFemaleHumansImage Interpretation, Computer-AssistedLiver NeoplasmsMachine LearningMagnetic Resonance ImagingMaleMiddle AgedNeural Networks, ComputerPredictive Value of TestsProof of Concept StudyRetrospective StudiesConceptsDeep learning systemConvolutional neural networkLearning systemRelevance scoresFeature mapsPre-trained CNN modelsFeature relevance scoresMulti-phasic MRINeural network interpretationEvidence-based decision supportDeep NeuralDeep learningCNN modelLesion classifierLearning prototypeNeural networkOriginal imageSystem prototypeDecision supportLesion classificationNetwork interpretationImage voxelsIncorrect featuresLesion classesTest set
2015
A new angiographic imaging platform reduces radiation exposure for patients with liver cancer treated with transarterial chemoembolization
Schernthaner RE, Duran R, Chapiro J, Wang Z, Geschwind JF, Lin M. A new angiographic imaging platform reduces radiation exposure for patients with liver cancer treated with transarterial chemoembolization. European Radiology 2015, 25: 3255-3262. PMID: 25956933, PMCID: PMC4595540, DOI: 10.1007/s00330-015-3717-0.Peer-Reviewed Original ResearchConceptsDose area productDigital subtraction angiographyTransarterial chemoembolizationCone-beam CTRadiation exposureLiver cancerDSA image qualityCumulative dose area productSecondary liver cancerLiver cancer patientsTwo-arm trialSignificant differencesResultsBoth cohortsDiagnostic image qualityPatient characteristicsConsecutive patientsTumor burdenTACE proceduresCancer patientsSubtraction angiographyPatientsHIPAA compliantDigital fluoroscopyProcedure courseIndependent readersMultimodality 3D Tumor Segmentation in HCC Patients Treated with TACE
Wang Z, Chapiro J, Schernthaner R, Duran R, Chen R, Geschwind JF, Lin M. Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE. Academic Radiology 2015, 22: 840-845. PMID: 25863795, PMCID: PMC4464945, DOI: 10.1016/j.acra.2015.03.001.Peer-Reviewed Original ResearchAdultAgedAged, 80 and overAlgorithmsAntibiotics, AntineoplasticCarcinoma, HepatocellularChemoembolization, TherapeuticCone-Beam Computed TomographyDoxorubicinFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalKidney NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedMultidetector Computed TomographyMultimodal ImagingPattern Recognition, AutomatedPrognosisReproducibility of ResultsRetrospective StudiesSensitivity and SpecificitySubtraction TechniqueTreatment Outcome