Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography
Liu X, Marin T, Amal T, Woo J, Fakhri G, Ouyang J. Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography. Medical Physics 2022, 50: 1539-1548. PMID: 36331429, PMCID: PMC10087283, DOI: 10.1002/mp.16078.Peer-Reviewed Original ResearchConceptsConditional variational auto-encoderDeep learning approachNeural networkDeep learningMarkov chain Monte CarloVariational Bayesian inference frameworkLearning approachDeep learning-based approachVariational auto-encoderDeep neural networksLearning-based approachDynamic brain PET imagingPosterior distributionEstimate posterior distributionsBayesian inference frameworkAuto-encoderMedical imagesInference frameworkNetworkSimulation studyBrain PET imagingLearningPosterior estimatesInferior performanceImagesMeasuring strain in diffusion-weighted data using tagged magnetic resonance imaging
Xing F, Liu X, Reese T, Stone M, Wedeen V, Prince J, El Fakhri G, Woo J. Measuring strain in diffusion-weighted data using tagged magnetic resonance imaging. Proceedings Of SPIE--the International Society For Optical Engineering 2022, 12032: 1203205-1203205-7. PMID: 36777787, PMCID: PMC9911263, DOI: 10.1117/12.2610989.Peer-Reviewed Original ResearchMR spaceMotion fieldDeep neural networksEstimated motion fieldNeural networkDiffusion-weighted dataMedical imagesDynamic MR dataAlgorithm workflowStatic imagesDeformable organsTag dataData lack informationDiffeomorphic registrationEstimated strain valuesDiffusion tractographyInternal tongue musclesMR dataFiber tractographyMotion analysisTongue deformationAccurate strain measurementsMuscle fibersImaging excelsMagnetic resonanceDeep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Liu X, Yoo C, Xing F, Oh H, Fakhri G, Kang J, Woo J. Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives. APSIPA Transactions On Signal And Information Processing 2022, 11: e25. DOI: 10.1561/116.00000192.Peer-Reviewed Original ResearchUnsupervised domain adaptationTarget domainLabeled source domain dataOut-of-distribution detectionUnlabeled target domain dataOut-of-distribution dataDomain dataTarget domain dataOut-of-distributionSource domain dataDeep neural networksNatural image processingMedical image analysisNatural language processingReal-world problemsDomain adaptationLabeled datasetSource domainDomain generalizationDeep learningNeural networkLanguage processingImpressive performanceTime series data analysisPerformance drop