2023
Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation
Wang J, Dvornek N, Staib L, Duncan J. Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation. Lecture Notes In Computer Science 2023, 14312: 79-88. PMID: 39281201, PMCID: PMC11395879, DOI: 10.1007/978-3-031-44858-4_8.Peer-Reviewed Original ResearchFunctional magnetic resonance imagesData augmentationClassification taskSpecific cognitive tasksMedical image analysisSynthetic data augmentationEffective data augmentationDownstream learning tasksCognitive tasksVariational autoencoder modelLearning taskTraining dataAutoencoder modelTemporal informationTraining datasetSequential informationSynthetic imagesTaskFMRI sequencesImage analysisMultiple perspectivesMagnetic resonance imagesImagesDifferent alternativesPersistent issuePredicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning
Kucukkaya A, Zeevi T, Chai N, Raju R, Haider S, Elbanan M, Petukhova-Greenstein A, Lin M, Onofrey J, Nowak M, Cooper K, Thomas E, Santana J, Gebauer B, Mulligan D, Staib L, Batra R, Chapiro J. Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning. Scientific Reports 2023, 13: 7579. PMID: 37165035, PMCID: PMC10172370, DOI: 10.1038/s41598-023-34439-7.Peer-Reviewed Original Research
2011
Fasciculography: Robust Prior-Free Real-Time Normalized Volumetric Neural Tract Parcellation
Ho P, Wang F, Papademetris X, Blumberg HP, Staib LH. Fasciculography: Robust Prior-Free Real-Time Normalized Volumetric Neural Tract Parcellation. IEEE Transactions On Medical Imaging 2011, 31: 217-230. PMID: 21914568, PMCID: PMC3640528, DOI: 10.1109/tmi.2011.2167629.Peer-Reviewed Original ResearchConceptsDiffusion tensor magnetic resonance imagesLess human interventionSearch spaceAbnormality detectionHuman interventionDiffusion tensor fieldsAbove problemsOrientation informationNonrigid registrationIncomplete reconstructionStreamline trackingTrackingOrientation errorsMagnetic resonance imagesImage artifactsTracking errorFiber trackingWhite matter fiber tractsLocal noiseTensor fieldsResonance imagesParcellation methodSame timeInitializationViable toolIntegrated Parcellation and Normalization Using DTI Fasciculography
Ho HP, Wang F, Papademetris X, Blumberg HP, Staib LH. Integrated Parcellation and Normalization Using DTI Fasciculography. Lecture Notes In Computer Science 2011, 14: 33-41. PMID: 21995010, PMCID: PMC3701295, DOI: 10.1007/978-3-642-23629-7_5.Peer-Reviewed Original ResearchConceptsDiffusion magnetic resonance imagesExtensive human interventionCumulative tracking errorsInteractive speedHuman interventionOrientation informationImage noiseMagnetic resonance imagesTracking errorVirtual pathwaysNormalization methodImagesDiffusion imagesWhite matter fasciclesFiber trackingCross-subject statisticsResonance imagesNew techniqueTrackingErrorVisualizationImplementationConnectivityInformationParcellation
2004
Geometric strategies for neuroanatomic analysis from MRI
Duncan JS, Papademetris X, Yang J, Jackowski M, Zeng X, Staib LH. Geometric strategies for neuroanatomic analysis from MRI. NeuroImage 2004, 23: s34-s45. PMID: 15501099, PMCID: PMC2832750, DOI: 10.1016/j.neuroimage.2004.07.027.Peer-Reviewed Original ResearchConceptsApplied mathematical approachWhite matter fiber tracksStatistical estimationMathematical approachFunction-structure analysisMagnetic resonance imagesEvolution strategyGeometric constraintsImage processingIntersubject registrationRich setGeometric strategyOngoing workData setsUse of levelsCommon spaceNeuroanatomic analysisSetRegistrationFiber tracksHuman brainResonance imagesInformationSegmentationEstimation
2003
Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis
Papademetris X, Jackowski A, Schultz R, Staib L, Duncan J. Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis. Lecture Notes In Computer Science 2003, 2879: 788-795. DOI: 10.1007/978-3-540-39903-2_96.Peer-Reviewed Original ResearchRobust Point MatchingIntensity-based registrationLarge point setsPoint matchingGreater computational efficiencyComputational efficiencyRobust pointSuperior performancePoint setsMagnetic resonance imagesBrain registrationActivation mapsFunctional magnetic resonance imagesSuccessful applicationRegistrationResonance imagesAlgorithmMatchingSpecificationMethodologyImagesRobustnessFrameworkSpecific areasSet
1997
An Integrated Approach for Locating Neuroanatomical Structure from MRI
Staib L, Chakraborty A, Duncan J. An Integrated Approach for Locating Neuroanatomical Structure from MRI. International Journal Of Pattern Recognition And Artificial Intelligence 1997, 11: 1247-1269. DOI: 10.1142/s0218001497000585.Peer-Reviewed Original ResearchHomogeneous region-classified areaPrior shape informationMR brain imagesMagnetic resonance imagesComputational overheadRegion informationShape informationBrain imagesSuch imagesExtra informationImproper initializationThree-dimensional imagesDeformable surfacesImagesExperimental resultsGauss divergence theoremWide availabilityInformationOverheadResonance imagesSegmentationIntegrated approachHigh-resolution magnetic resonance imagesAlgorithmInitialization
1995
Cardiac SPECT restoration using MR-based support constraints
Staib L, Sinusas A. Cardiac SPECT restoration using MR-based support constraints. 1995, 2: 480-483 vol.2. DOI: 10.1109/icip.1995.537520.Peer-Reviewed Original Research