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 workFrameworkPerformanceCross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available
Dadashkarimi J, Karbasi A, Liang Q, Rosenblatt M, Noble S, Foster M, Rodriguez R, Adkinson B, Ye J, Sun H, Camp C, Farruggia M, Tejavibulya L, Dai W, Jiang R, Pollatou A, Scheinost D. Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. Medical Image Analysis 2023, 88: 102864. PMID: 37352650, PMCID: PMC10526726, DOI: 10.1016/j.media.2023.102864.Peer-Reviewed Original ResearchConceptsDifferent atlasesRaw data accessWeb applicationData accessOpen source dataSource codePatient privacyOptimal transportRaw dataStorage concernsLarge-scale data collection effortsOriginal counterpartsExtensive setData collection effortsProcessing effortPredictive modelNeuroimaging dataDownstream analysisPrivacyAtlasesCollection effortsComputationalTime seriesDatasetConnectome
2022
A protocol for working with open-source neuroimaging datasets
Horien C, Lee K, Westwater ML, Noble S, Tejavibulya L, Kayani T, Constable RT, Scheinost D. A protocol for working with open-source neuroimaging datasets. STAR Protocols 2022, 3: 101077. PMID: 35036958, PMCID: PMC8749295, DOI: 10.1016/j.xpro.2021.101077.Peer-Reviewed Original Research