2024
Integrative deep learning with prior assisted feature selection
Wang F, Jia K, Li Y. Integrative deep learning with prior assisted feature selection. Statistics In Medicine 2024, 43: 3792-3814. PMID: 38923006, DOI: 10.1002/sim.10148.Peer-Reviewed Original ResearchDeep learningLearning methodsPerformance of feature selectionCapability of deep learningDeep learning methodsEnsemble learning methodFeature selectionPrior informationLearningIntegrated analysisSkin cutaneous melanomaDatasetRedundancyMethodSimulation studySuperioritySelectionCapabilityInformationFrameworkDisentangled multimodal brain MR image translation via transformer-based modality infuser
Cho J, Liu X, Xing F, Ouyang J, Fakhri G, Park J, Woo J. Disentangled multimodal brain MR image translation via transformer-based modality infuser. Progress In Biomedical Optics And Imaging 2024, 12926: 129262h-129262h-6. DOI: 10.1117/12.3006502.Peer-Reviewed Original ResearchConvolutional neural networkBrain tumor segmentation taskModality-specific featuresTumor segmentation taskImage translationAdversarial networkSegmentation taskSynthesis qualityBrain MR imagesNeural networkMR modalitiesAcquired imagesExperimental resultsNetworkGlobal relationshipsDisease diagnosisImagesEncodingBraTSDatasetFeaturesTaskMethodSuperiorityMR imaging
2022
Drug repurposing: a systematic review on root causes, barriers and facilitators
Krishnamurthy N, Grimshaw AA, Axson SA, Choe SH, Miller JE. Drug repurposing: a systematic review on root causes, barriers and facilitators. BMC Health Services Research 2022, 22: 970. PMID: 35906687, PMCID: PMC9336118, DOI: 10.1186/s12913-022-08272-z.Peer-Reviewed Original ResearchConceptsData accessIntellectual property challengesDesign decisionsCompound databasesExamples of companiesBusiness reasonsCore approachRoot causeMulti-partner collaborationsText termsFull potentialText reviewBusiness Source CompleteResourcesAccessCollaborationDatabaseSuperiorityMore informationSafety problems
2014
Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure
Lu Y, Carin L, Coifman R, Shain W, Roysam B. Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure. Neuroinformatics 2014, 13: 47-63. PMID: 25086878, DOI: 10.1007/s12021-014-9237-2.Peer-Reviewed Original ResearchConceptsCo-clustering methodAnalytics systemSynthetic datasetsThree-dimensional visualizationAnalysis ToolkitHeterogeneous ensembleDistance measureAlgorithmMultivariate data pointsData smoothingData pointsWavelet basisData matrixHarmonic analysis theoryL-measureNeuroMorpho databaseDatasetAnalysis theoryToolkitVisualizationEnsembleRobustnessDatabaseSuperiorityMethod
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