2022
Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside
Chapiro J, Allen B, Abajian A, Wood B, Kothary N, Daye D, Bai H, Sedrakyan A, Diamond M, Simonyan V, McLennan G, Abi-Jaoudeh N, Pua B. Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside. Journal Of Vascular And Interventional Radiology 2022, 33: 1113-1120. PMID: 35871021, DOI: 10.1016/j.jvir.2022.06.003.Peer-Reviewed Original ResearchConceptsArtificial intelligenceGrowth of AIApplicability of AIClinical use casesDevelopment of AIIR research communityUse casesCutting-edge technologiesResearch communityAIInterventional radiologyIntelligenceHealth informationConsensus panelTechnologyPatient careCurrent needsApplicationsConsensus statementResearch collaborationResearch prioritiesImage guidance modalitySubstantial improvementClinical expertiseDiagnostic imaging
2021
Super-resolution PET Brain Imaging using Deep Learning
Ren S, Liu J, Xie H, Toyonaga T, Mirian N, Chen M, Aboian M, Carson R, Liu C. Super-resolution PET Brain Imaging using Deep Learning. 2021, 00: 1-6. DOI: 10.1109/nss/mic44867.2021.9875548.Peer-Reviewed Original ResearchDeep learning networkPET image resolutionData augmentation methodImage resolutionSuper-resolution approachMedical imaging modalitiesClinical brain imagesDeep learningLearning networkAugmentation methodPET image qualityBrain imagesImage qualityNetworkImagesMedical diagnostic technologyPET imagesHRRT imagesData generalizabilityLearningSubstantial improvementScannerTechnologyPET brain imagingAccuracy
1992
Fast Computation of Genetic Likelihoods on Human Pedigree Data
Goradia T, Lange K, Miller P, Nadkarni P. Fast Computation of Genetic Likelihoods on Human Pedigree Data. Human Heredity 1992, 42: 42-62. PMID: 1555846, DOI: 10.1159/000154045.Peer-Reviewed Original ResearchConceptsHuman pedigree dataNetwork of workstationsLarge-scale computationsHardware techniquesParallel machinesComputational speedDifferent architecturesLinkage problemFast computationVectorized versionComputationFast calculationLarge numberParallelizationSupercomputersVectorizationComplete phenotypingWorkstationsArchitectureGenetic likelihoodMachineNetworkVersionNew methodSubstantial improvement
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