2024
Evaluation of few-shot detection of head and neck anatomy in CT
Lee K, Cho J, Lee J, Xing F, Liu X, Bae H, Lee K, Hwang J, Park J, Fakhri G, Jee K, Woo J. Evaluation of few-shot detection of head and neck anatomy in CT. Progress In Biomedical Optics And Imaging 2024, 12927: 1292716-1292716-7. DOI: 10.1117/12.3006895.Peer-Reviewed Original ResearchFew-shot object detection methodMedical image dataFew-shot object detectionObject detection methodsObject detectionImage dataObject detection approachState-of-the-artFaster R-CNNFine-tuning stageDeep learning modelsDetection methodFew-shotDetection of anatomical structuresDownstream tasksNatural imagesR-CNNDetect objectsDetection headDetection approachPreprocessing stepDetect anatomical structuresLearning modelsExperimental resultsClinical workflow
2023
Outlier Robust Disease Classification via Stochastic Confidence Network
Lee K, Lee H, El Fakhri G, Sepulcre J, Liu X, Xing F, Hwang J, Woo J. Outlier Robust Disease Classification via Stochastic Confidence Network. Lecture Notes In Computer Science 2023, 14394: 80-90. DOI: 10.1007/978-3-031-47425-5_8.Peer-Reviewed Original ResearchDeep learningState-of-the-art modelsAccuracy of deep learningState-of-the-artMedical image dataMedical imaging modalitiesImage patchesIrrelevant patchesCategorical featuresPresence of outliersDL modelsConfidence networkConfidence predictionsClassifying outliersData samplesImage dataOutliersExperimental resultsDisease classificationImprove diagnostic performanceClassificationDiagnosing breast tumorsUltrasound imagingPerformanceImages
2022
Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting
Xing F, Liu X, Kuo C, Fakhri G, Woo J. Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting. IEEE Journal Of Biomedical And Health Informatics 2022, 26: 3185-3196. PMID: 35139030, PMCID: PMC9250592, DOI: 10.1109/jbhi.2022.3149754.Peer-Reviewed Original ResearchConceptsImage inpainting methodInpainting methodDeep learning-based image inpainting methodsBrain Tumor Segmentation ChallengeMultimodal Brain Tumor Segmentation ChallengeReduce reconstruction errorAtlas constructionStatistical brain atlasInpainted regionsInpainted dataImage registration methodReconstruction errorTumor regionMutual informationSimilarity scoresSegmentation ChallengeSymmetry constraintsImage dataRegistration methodMagnetic resonance imagingTumor locationStatistical atlasDistribution of lesionsCross-correlationPatient populationVariational inference for quantifying inter-observer variability in segmentation of anatomical structures
Liu X, Xing F, Marin T, Fakhri G, Woo J. Variational inference for quantifying inter-observer variability in segmentation of anatomical structures. Proceedings Of SPIE--the International Society For Optical Engineering 2022, 12032: 120321m-120321m-6. PMID: 36303579, PMCID: PMC9603619, DOI: 10.1117/12.2604547.Peer-Reviewed Original ResearchSegmentation mapImage dataVariational inference frameworkVariational autoencoder networkMedical image dataInherent information lossMagnetic Resonance (MRSegmentation datasetAutoencoder networkVariational inferenceLatent vectorsInformation lossManual annotationSegmentation methodAleatoric uncertaintyInference frameworkSacrificing accuracyExperimental resultsAnnotationOrgan boundariesInter-observer variabilityImagesELBOMapsSegmentsVoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
Liu X, Xing F, Yang C, Kuo C, Babu S, Fakhri G, Jenkins T, Woo J. VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI. IEEE Journal Of Biomedical And Health Informatics 2022, 26: 1128-1139. PMID: 34339378, PMCID: PMC8807766, DOI: 10.1109/jbhi.2021.3097735.Peer-Reviewed Original ResearchConceptsConvolutional neural networkLearning modelsDimension reductionSubspace learning modelConcatenation of featuresState-of-the-artUnsupervised dimension reductionDeep learning modelsMedical image dataSupervised dimension reductionImage dataClassification of amyotrophic lateral sclerosisSubspace learningClassification taskDeep learningDataset sizeNeural networkSubspace approximationMemory requirementsTraining datasetClassification approachAUC scoreAccurate classificationDatasetExperimental results
2021
4D magnetic resonance imaging atlas construction using temporally aligned audio waveforms in speech
Xing F, Jin R, Gilbert I, Perry J, Sutton B, Liu X, Fakhri G, Shosted R, Woo J. 4D magnetic resonance imaging atlas construction using temporally aligned audio waveforms in speech. The Journal Of The Acoustical Society Of America 2021, 150: 3500-3508. PMID: 34852570, PMCID: PMC8580575, DOI: 10.1121/10.0007064.Peer-Reviewed Original ResearchConceptsAudio waveformTemporal domain informationMulti-subject dataAtlas constructionMutual information measureMR image datasetsImage datasetsTarget domainDomain informationPost-processing methodImage sequencesTemporal alignmentSpatiotemporal alignmentMatching patternsInformation measuresImage dataSquare errorAligned volumesAlignment mapOverall score increaseMR technologyCross-correlationDeformable registrationSpeechImages
2019
Graph Convolutional Neural Networks For Alzheimer’s Disease Classification
Song T, Roy Chowdhury S, Yang F, Jacobs H, El Fakhri G, Li Q, Johnson K, Dutta J. Graph Convolutional Neural Networks For Alzheimer’s Disease Classification. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2019, 00: 414-417. PMID: 31327984, PMCID: PMC6641559, DOI: 10.1109/isbi.2019.8759531.Peer-Reviewed Original ResearchGraph convolutional neural networkConvolutional neural networkNeural networkCapabilities of convolutional neural networksGraph-structured dataNon-Euclidean domainsClassification capability of convolutional neural networksVector machine classifierGraph-based toolsData representationAudio signalsClassification capabilityMachine classifierClassifierPerformance gapImage dataNetworkConnected graphStructural connectivity graphsDisease classificationClassificationBrain connectivity studiesEuclidean domainsComplex systemsGraph
2015
A Spectral Graph Regression Model for Learning Brain Connectivity of Alzheimer’s Disease
Hu C, Cheng L, Sepulcre J, Johnson K, Fakhri G, Lu Y, Li Q. A Spectral Graph Regression Model for Learning Brain Connectivity of Alzheimer’s Disease. PLOS ONE 2015, 10: e0128136. PMID: 26024224, PMCID: PMC4449104, DOI: 10.1371/journal.pone.0128136.Peer-Reviewed Original ResearchConceptsNetwork featuresAlzheimer's diseaseConsistent with known pathologyUnknown graphConnection weightsReconstruction networkCortical hubsDegree statisticsData modelSmooth signalsFeatures of brain pathologyOptimization frameworkAmyloid-bPartial correlation estimationImage dataNetworkGraphGlobal connectivity measuresPositron emission tomographyConnectivity measuresNeurodegenerative diseasesConnectivity patternsSample correlationClinical ADSimulated data
2013
A GRAPH THEORETICAL REGRESSION MODEL FOR BRAIN CONNECTIVITY LEARNING OF ALZHEIMER'S DISEASE
Hu C, Cheng L, Sepulcre J, Fakhri G, Lu Y, Li Q. A GRAPH THEORETICAL REGRESSION MODEL FOR BRAIN CONNECTIVITY LEARNING OF ALZHEIMER'S DISEASE. 2013, 616-619. DOI: 10.1109/isbi.2013.6556550.Peer-Reviewed Original Research