2018
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma.
Abajian A, Murali N, Savic LJ, Laage-Gaupp FM, Nezami N, Duncan JS, Schlachter T, Lin M, Geschwind JF, Chapiro J. Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma. Journal Of Visualized Experiments 2018 PMID: 30371657, PMCID: PMC6235502, DOI: 10.3791/58382.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, HepatocellularHumansInjections, Intra-ArterialLiver NeoplasmsMachine LearningMaleMiddle AgedSurgery, Computer-AssistedConceptsIntra-arterial therapyN patientsHepatocellular carcinomaTrans-arterial therapiesIntra-arterial treatmentCohort of patientsStandard of careLikelihood of responseClinical research questionsSurgical resectionNew patientsTreatment responseUnivariate associationsPatientsTraining patientsInterventional radiologyTherapyCarcinomaTreatmentImage-guided therapyOutcomesFinal modelImaging dataResectionResponse
2012
Behavior of Tip-Steerable Needles in Ex Vivo and In Vivo Tissue
Majewicz A, Marra S, van Vledder M, Lin M, Choti M, Song D, Okamura A. Behavior of Tip-Steerable Needles in Ex Vivo and In Vivo Tissue. IEEE Transactions On Biomedical Engineering 2012, 59: 2705-2715. PMID: 22711767, PMCID: PMC3448818, DOI: 10.1109/tbme.2012.2204749.Peer-Reviewed Original ResearchMeSH KeywordsAlloysAnimalsDogsEquipment DesignKidneyLiverMaleNeedlesProstateRadiographyReproducibility of ResultsRoboticsStainless SteelSurgery, Computer-Assisted