2022
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
Zhang K, Hu H, Philbrick K, Conte G, Sobek J, Rouzrokh P, Erickson B. SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks. Tomography 2022, 8: 905-919. PMID: 35448707, PMCID: PMC9027099, DOI: 10.3390/tomography8020073.Peer-Reviewed Original ResearchConceptsSingle-image super-resolutionMedical imagesPixel-wise loss functionsHigh-dimensional feature spaceGenerative adversarial networkImage-based tasksSR worksHR imagesPerceptual lossTexture detailsAdversarial networkFeature spaceSuper-ResolutionDeep learningSemantic distanceLoss functionApparent spatial resolutionResolution-enhancement methodsImage qualityInterpolation techniqueMotion-induced artifactsNetworkHigh-resolutionImagesResearch applicationsMedTator: a serverless annotation tool for corpus development
He H, Fu S, Wang L, Liu S, Wen A, Liu H. MedTator: a serverless annotation tool for corpus development. Bioinformatics 2022, 38: 1776-1778. PMID: 34983060, PMCID: PMC10060696, DOI: 10.1093/bioinformatics/btab880.Peer-Reviewed Original ResearchConceptsAnnotation toolInteractive user interfaceApache 2.0 licenseDocument annotationUser interfaceAnnotation taskSource codeAdvanced featuresDifficulty of useAnnotation corpusCorpus developmentCorpus annotationCore stepsSupplementary dataVariety of needsAnnotationClinical research applicationsSummarizationResearch applicationsToolConsiderable timeTaskBioinformaticsTutorialCode
2019
Protecting patient privacy in survival analyses
Bonomi L, Jiang X, Ohno-Machado L. Protecting patient privacy in survival analyses. Journal Of The American Medical Informatics Association 2019, 27: 366-375. PMID: 31750926, PMCID: PMC7025359, DOI: 10.1093/jamia/ocz195.Peer-Reviewed Original ResearchConceptsPrivacy protectionPrivacy risksHealthcare applicationsPatient privacyPrivacy protection methodProvable privacy protectionStrong privacy protectionPerson of interestKnowledgeable adversaryDifferential privacySynthetic datasetsFormal modelEpidemiology datasetPrivacyNonparametric survival modelFuture research directionsAdversaryResearch directionsDatasetBiomedical research applicationsFrameworkFrequent sharingResearch applicationsApplicationsSharingComparison of blockchain platforms: a systematic review and healthcare examples
Kuo T, Rojas H, Ohno-Machado L. Comparison of blockchain platforms: a systematic review and healthcare examples. Journal Of The American Medical Informatics Association 2019, 26: 462-478. PMID: 30907419, PMCID: PMC7787359, DOI: 10.1093/jamia/ocy185.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsBlockchain platformPopular blockchain platformsBlockchain applicationsSuitable blockchain platformDifferent blockchain platformsClinical informatics researchersTechnical featuresSoftware engineersHealth informatics applicationsHealthcare applicationsInformatics applicationsHealthcare exampleInformatics researchersPlatformBiomedical research applicationsHealthcareBlockchainImportant technical featuresKey featuresApplicationsResearch applicationsFeaturesBrief introductionTechnologyRequirements
2011
Data standards for clinical research data collection forms: current status and challenges
Richesson R, Nadkarni P. Data standards for clinical research data collection forms: current status and challenges. Journal Of The American Medical Informatics Association 2011, 18: 341-346. PMID: 21486890, PMCID: PMC3078665, DOI: 10.1136/amiajnl-2011-000107.Peer-Reviewed Original ResearchConceptsClinical Research InformaticsStandards adoptionWorkflow supportStructured data collectionData itemsResearch informaticsData standardsTool requirementsStandards effortsSuch toolsTerminological standardsResearch data collectionClinical research applicationsContent standardsData collectionInteroperabilityCase report formsResearch applicationsAdoptionInformaticsResearch activitiesRetrievalToolFormal relationshipReuse
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