2018
Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks
Sadda P, Onofrey J, Papademetris X. Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks. Lecture Notes In Computer Science 2018, 11043: 82-91. DOI: 10.1007/978-3-030-01364-6_10.Peer-Reviewed Original ResearchGenerative adversarial neural networksAdversarial neural networkGround truth segmentationNeural networkTruth segmentationMedical image segmentation tasksImage segmentation tasksConvolutional neural networkDeep learning methodsRetinal vessel segmentationConvolutional networkSegmentation taskTraining examplesAnnotated examplesTraining dataLearning methodsVessel segmentationSegmentationSynthetic examplesNetworkLarge amountDatasetTaskExampleAccuracy
2012
Automated Segmentation of Real-Time 3D Echocardiography Using an Incompressibility Constraint
Zhu Y, Papademetris X, Sinusas A, Duncan J. Automated Segmentation of Real-Time 3D Echocardiography Using an Incompressibility Constraint. 2012 DOI: 10.5772/28992.Peer-Reviewed Original Research
2008
Integrated Segmentation and Motion Analysis of Cardiac MR Images Using a Subject-Specific Dynamical Model
Zhu Y, Papademetris X, Sinusas A, Duncan J. Integrated Segmentation and Motion Analysis of Cardiac MR Images Using a Subject-Specific Dynamical Model. 2008, 1-8. DOI: 10.1109/cvprw.2008.4563007.Peer-Reviewed Original ResearchSubject-specific dynamical modelBoundary element methodMotion tracking algorithmElement methodDisplacement fieldRecursive Bayesian frameworkCardiac MR imagesDynamical modelCardiac segmentationSegmentation moduleFuture framesSegmentation resultsIntegrated SegmentationSubject vectorsFeature pointsTracking algorithmMyocardial displacementTracking resultsMatching strategySegmentationCardiac imagesCardiac sequenceMotion analysisEfficient wayRegularization model
2004
Construction of a 3D Volumetric Probabilistic Model of the Mouse Kidney from MRI
Okuda H, Shkarin P, Behar K, Duncan J, Papademetris X. Construction of a 3D Volumetric Probabilistic Model of the Mouse Kidney from MRI. Lecture Notes In Computer Science 2004, 3217: 1052-1054. DOI: 10.1007/978-3-540-30136-3_134.Peer-Reviewed Original ResearchProbabilistic volumetric modelVolumetric modelPoint matching algorithmRobust point matching algorithmLocal B-splineKidney segmentationGlobal linear transformationsSegmentation algorithmMatching algorithmFree-form deformationRegistration stepVolumetric imagesKidney imagesShape modelingProbabilistic modelForm deformationAlgorithmImagesB-splinesSegmentationUltimate goal
2003
Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm
Lin N, Papademetris X, Sinusas A, Duncan J. Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm. Lecture Notes In Computer Science 2003, 2878: 556-563. DOI: 10.1007/978-3-540-39899-8_69.Peer-Reviewed Original ResearchPoint matching algorithmRobust point matching algorithmMatching algorithmNon-rigid cardiac motionDimensional medical imagesShape-based informationRobust Point MatchingCardiac magnetic resonance imagesNon-rigid transformationMedical imagesNumber of applicationsPoint matchingSynthetic dataAlgorithmOwn previous workLeft ventricular motionMagnetic resonance imagesCardiac motionImagesPrevious workResonance imagesSegmentationMatchingVentricular motionPriors