2024
Quantitative Evaluation of Large Language Models to Streamline Radiology Report Impressions: A Multimodal Retrospective Analysis.
Doshi R, Amin K, Khosla P, Bajaj S, Chheang S, Forman H. Quantitative Evaluation of Large Language Models to Streamline Radiology Report Impressions: A Multimodal Retrospective Analysis. Radiology 2024, 310: e231593. PMID: 38530171, DOI: 10.1148/radiol.231593.Peer-Reviewed Original ResearchConceptsLanguage modelReport impressionsRadiology reportsRetrospective comparative analysisWilcoxon signed-rank testReading grade levelMedical Information Mart for Intensive Care (MIMIC)-IV databaseElectronic health recordsNonparametric Wilcoxon signed-rank testSigned-rank testRetrospective analysisPrimary outcomeComplex medical terminologyImaging modalitiesHealth recordsPatientsRadiologyAnatomical regionsReadabilityIncrease accessModalitiesQuantitative evaluationReadability indicesReadability scoresReports
2023
Disentangled Representations in Local-Global Contexts for Arabic Dialect Identification
Alhakeem Z, Jang S, Kang H. Disentangled Representations in Local-Global Contexts for Arabic Dialect Identification. IEEE/ACM Transactions On Audio Speech And Language Processing 2023, 32: 879-890. DOI: 10.1109/taslp.2023.3341006.Peer-Reviewed Original ResearchArabic dialect identificationDisentanglement networkLow-resolution feature mapsIntra-class variationsInter-class variationsDialect identificationEnhanced identification performanceDisentangled representationsFeature representationFeature mapsBottleneck TransformerLatent spaceLocal-global contextClustering lossLocal informationSource utteranceBackbone moduleIdentification performanceIrrelevant informationCompetitive solutionNetworkLocal-globalRepresentationQuantitative evaluationDisentanglement
2022
Low-Dose Tau PET Imaging Based on Swin Restormer with Diagonally Scaled Self-Attention
Jang S, Lois C, Becker J, Thibault E, Li Y, Price J, Fakhri G, Li Q, Johnson K, Gong K. Low-Dose Tau PET Imaging Based on Swin Restormer with Diagonally Scaled Self-Attention. 2022, 00: 1-3. DOI: 10.1109/nss/mic44845.2022.10399169.Peer-Reviewed Original ResearchConvolutional neural networkSelf-attention mechanismSelf-attentionTransformer architectureComputer vision tasksLocal feature extractionLong-range informationVision tasksDenoising performanceSwin TransformerFeature extractionImage datasetsUNet structureNeural networkSwinComputational costReceptive fieldsImage qualityMap calculationNetwork structureArchitecturePET image qualityChannel dimensionsQuantitative evaluationDenoising
2009
Motion-compensated temporal summation of cardiac gated SPECT images using a deformable mesh model
Marin T, Wernick M, Yang Y, Brankov J. Motion-compensated temporal summation of cardiac gated SPECT images using a deformable mesh model. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2009, 2009: 3657-3660. PMID: 19964313, PMCID: PMC2810283, DOI: 10.1109/iembs.2009.5333693.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsCardiac-Gated Imaging TechniquesCardiac-Gated Single-Photon Emission Computer-Assisted TomographyComputer SimulationHeartHumansImage Processing, Computer-AssistedImaging, Three-DimensionalModels, StatisticalMotionPhantoms, ImagingRadiographic Image Interpretation, Computer-AssistedTomography, Emission-Computed, Single-PhotonConceptsDeformable mesh modelMotion blurring artifactsMesh modelCardiac gated SPECT imagingCardiac gated SPECTEstimating heart motionHeart motionNoisy imagesMotion estimationNoise reduction performanceTime dimensionEstimated motionBlurring artifactsIndividual framesPartial volume effectsNoise reductionQuantitative evaluationReduction performanceImagesNoiseSPECT imagesStatic SPECT imagesArtifactsFrameGate sequences
1989
Left ventricular analysis from cardiac images using deformable models
Staib L, Duncan J. Left ventricular analysis from cardiac images using deformable models. 1989, 427-430. DOI: 10.1109/cic.1988.72651.Peer-Reviewed Original ResearchDeformable modelImage understanding systemElliptic Fourier decompositionProbabilistic deformable modelCardiac image sequencesIntelligent segmentationSegmentation problemImage dataImage sequencesUnderstanding systemCardiac imagesOptimization problemFlexible constraintsLeft ventricular analysisIrregularity of shapeNatural objectsSegmentationQuantitative evaluationGood matchParametric modelVentricular analysisImagesSystemObjectsModel
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