2024
3D Segmentation of Subcortical Brain Structure with Few Labeled Data using 2D Diffusion Models
Cho J, Bae H, Liu X, Xing F, Lee K, Fakhri G, Wedeen V, Park J, Woo J. 3D Segmentation of Subcortical Brain Structure with Few Labeled Data using 2D Diffusion Models. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/1397.Peer-Reviewed Original ResearchSegmentation labelsSegmentation methodDeep learning-based segmentation methodsLearning-based segmentation methodsConventional segmentation methodsLabeled dataLabelled dataLabeling scenariosSemantic informationSubcortical brain structuresHuman Connectome Project databaseBrain structuresLabelingClassifierSegmentsDataMethodDiffusion modelScenariosModelProject databaseInformation
2023
Synthesizing audio from tongue motion during speech using tagged MRI via transformer
Liu X, Xing F, Prince J, Stone M, Fakhri G, Woo J. Synthesizing audio from tongue motion during speech using tagged MRI via transformer. Proceedings Of SPIE--the International Society For Optical Engineering 2023, 12464: 1246410-1246410-5. PMID: 38009135, PMCID: PMC10669779, DOI: 10.1117/12.2653345.Peer-Reviewed Original ResearchMotion fieldAudio waveformAdversarial training approachImprove synthesis qualityConvolutional decoderAudio dataSynthesis qualityTranslation networkData structureSpeech waveformTemporal modelTagged MRITongue motionTraining approachSpectrogramMuscle deformationSource of informationSpeechIntelligible speechFrameworkDecodingInformationPredictive informationEncodingNetwork
2022
Self-Semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation
Liu X, Xing F, Fakhri G, Woo J. Self-Semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2022, 00: 1-5. PMID: 35990931, PMCID: PMC9387767, DOI: 10.1109/isbi52829.2022.9761629.Peer-Reviewed Original ResearchUnsupervised domain adaptationAdaptive networkLow-level edge informationCross-domain alignmentEnhance segmentation performanceMulti-task frameworkCross-modality segmentationSegmentation of brain tumorsAdversarial learningDomain adaptationSemantic segmentationEdge informationSemantic alignmentPrecursor taskSegmentation performanceSpatial informationNetworkSemantic adaptationMagnetic resonance imagingTaskContour adaptationBraTS2018InformationFrameworkAdaptation
2021
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
Liu X, Liu X, Hu B, Ji W, Xing F, Lu J, You J, Kuo C, Fakhri G, Woo J. Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. Proceedings Of The AAAI Conference On Artificial Intelligence 2021, 35: 2189-2197. DOI: 10.1609/aaai.v35i3.16317.Peer-Reviewed Original Research
2018
Super-Resolution PET Using A Very Deep Convolutional Neural Network
Song T, Chowdhury S, Kim K, Gong K, Fakhri G, Li Q, Dutta J. Super-Resolution PET Using A Very Deep Convolutional Neural Network. 2018, 00: 1-2. DOI: 10.1109/nssmic.2018.8824683.Peer-Reviewed Original ResearchConvolutional neural networkNeural networkSuper-resolution convolutional neural networkDeep convolutional neural networkImage deblurring approachesInput image patchesBlur kernelResolution recovery techniquesSpatial location informationDeblurring approachDeblurring processImage patchesQuantitative accuracy of PETLocation informationSpatially-varying natureSuperior performanceNetworkRecovery techniquesDigital phantomDeblurringBrainWebInformationPartial volume effectsDeepBlur
2016
Validation of Bayesian analysis of compartmental kinetic models in medical imaging
Sitek A, Li Q, Fakhri G, Alpert N. Validation of Bayesian analysis of compartmental kinetic models in medical imaging. Physica Medica 2016, 32: 1252-1258. PMID: 27692754, PMCID: PMC5720163, DOI: 10.1016/j.ejmp.2016.09.010.Peer-Reviewed Original ResearchConceptsAccurate estimation of uncertaintyComputer simulationsMedical imagesPosterior distributionDistributed noiseTime series of imagesClosed-formSeries of imagesData setsKinetic parametersMarkov chain Monte Carlo methodsPosterior distributions of kinetic parametersNon-linear least squares methodAccurate estimationComputerLeast-squares methodKinetic modelEstimation of kinetic parametersF18-fluorodeoxyglucoseBayesian estimationImagesStatistical inferenceMonte Carlo methodEstimates of uncertaintyInformation