2023
Gradient-Based Enhancement Attacks in Biomedical Machine Learning
Rosenblatt M, Dadashkarimi J, Scheinost D. Gradient-Based Enhancement Attacks in Biomedical Machine Learning. Lecture Notes In Computer Science 2023, 14242: 301-312. DOI: 10.1007/978-3-031-45249-9_29.Peer-Reviewed Original ResearchBiomedical machinePrediction performanceEnhancement frameworkData provenance trackingPrevalence of machineEnhanced dataHigh feature similaritySimple neural networkProvenance trackingAdversarial attacksNeural networkData manipulationFeature similarityMedical imagingMachineEnhanced datasetOriginal datasetClassifierAttacksDatasetTrustworthinessModel performancePrevious workFrameworkPerformance
2011
Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms
Joshi A, Scheinost D, Okuda H, Belhachemi D, Murphy I, Staib LH, Papademetris X. Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms. Neuroinformatics 2011, 9: 69-84. PMID: 21249532, PMCID: PMC3066099, DOI: 10.1007/s12021-010-9092-8.Peer-Reviewed Original ResearchConceptsUser interface controlsUser interfaceNovel object-oriented frameworkCommand-line user interfaceGraphical user interface controlsMedical image analysisObject-oriented frameworkComplex image analysisImage analysisPlatform interoperabilitySoftware objectsReusable componentsInterface controlSource codeSuch algorithmsFramework idealMultiple platformsUnified frameworkAlgorithmRapid developmentDeploymentThorough testingPublic useFrameworkPlatform