2011
Towards Model-Based Control of Parkinson's Disease: A Perspective
Schiff S. Towards Model-Based Control of Parkinson's Disease: A Perspective. 2011, 6487-6491. DOI: 10.1109/cdc.2011.6160870.Peer-Reviewed Original ResearchControl theoryModel-based control frameworkNonlinear control theoryModern control theoryControl frameworkKalman filtering techniqueDynamical diseasesOscillatory wavesComputational neuroscienceFiltering techniqueNetwork dynamicsAccurate reconstructionMature theoryTheoryDynamicsComputational modelModelNeuroscience modelsWavesFrameworkFieldA Nonlocal Averaging Technique for Kinetic Parameter Estimation from Dynamic PET Data
Dutta J, Fakhri G, Leahy R, Li Q. A Nonlocal Averaging Technique for Kinetic Parameter Estimation from Dynamic PET Data. 2011, 3562-3566. DOI: 10.1109/nssmic.2011.6153669.Peer-Reviewed Original ResearchNonlocal meansDenoising schemeGaussian filtering techniquePatlak parametric imagesDenoised time seriesDenoising frameworkClustering stepDistributed natureGaussian filterLocal neighborhoodVoxel-wise estimationHigh noise levelsData setsDenoisingFiltering techniqueSchemeDataLow varianceNoise levelTime activity curvesEstimation of kinetic parametersDynamic PET imagesParameter estimationVoxelImages
2009
Kalman Meets Neuron: The Emerging Intersection of Control Theory with Neuroscience
Schiff S. Kalman Meets Neuron: The Emerging Intersection of Control Theory with Neuroscience. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2009, 2009: 3318-3321. PMID: 19964302, PMCID: PMC3644303, DOI: 10.1109/iembs.2009.5333752.Peer-Reviewed Original ResearchConceptsControl theoryNonlinear control theoryModern control theoryKalman filtering techniqueSingle neuron dynamicsComplex network dataWave dynamicsModel networksControl frameworkComputational neuroscienceNeuron dynamicsFiltering techniqueAccurate reconstructionMature theoryTheoryDynamicsNetwork dataKalmanConsensus setNeuroscience modelsField
2005
Is the Filinov integral conditioning technique useful in semiclassical initial value representation methods?
Spanner M, Batista V, Brumer P. Is the Filinov integral conditioning technique useful in semiclassical initial value representation methods? The Journal Of Chemical Physics 2005, 122: 084111. PMID: 15836024, DOI: 10.1063/1.1854634.Peer-Reviewed Original ResearchSemiclassical initial value representation methodQuantum manifestationsSC-IVRLevel of approximationChaotic dynamicsNonchaotic systemsChaotic systemsTruncation procedureChaotic behaviorSemiclassical calculationsLow dimensionalityPhase oscillationsRepresentation methodFiltering techniqueRegular component
2004
Reduced field of view and undersampled PR combined for interventional imaging of a fully dynamic field of view
Peters DC, Guttman MA, Dick AJ, Raman VK, Lederman RJ, McVeigh ER. Reduced field of view and undersampled PR combined for interventional imaging of a fully dynamic field of view. Magnetic Resonance In Medicine 2004, 51: 761-767. PMID: 15065249, PMCID: PMC2034278, DOI: 10.1002/mrm.20037.Peer-Reviewed Original ResearchConceptsTemporal filtering techniquesTemporal resolutionField of viewArtifact suppressionFiltering techniqueTrue frameGood temporal resolutionAccurate monitoringProjection reconstructionMRI experimentsCatheter imagingImage artifactsInterventional imagingDynamic fieldDynamic eventsImage qualityFieldProcessingFOVResolutionRFOVSimulations
1995
901-38 New Image Processing, Segmentation, Extraction and Display Algorithms Allow Easier and More Versatile Dynamic Volume-rendered Three-dimensional Echocardiographic Examination: Application in Experimental and Clinical Studies
Sugeng L, Delabays A, Cao Q, Magni G, Krauss M, Pandian N. 901-38 New Image Processing, Segmentation, Extraction and Display Algorithms Allow Easier and More Versatile Dynamic Volume-rendered Three-dimensional Echocardiographic Examination: Application in Experimental and Clinical Studies. Journal Of The American College Of Cardiology 1995, 25: 14a. DOI: 10.1016/0735-1097(95)91515-y.Peer-Reviewed Original ResearchDisplay algorithmImage processing algorithmsProcessing algorithmsColor encodingClinical studiesExtraction regionAlgorithmImage projectionFiltering techniqueImage dataExtraction softwareFan-like scanningData matrixStudy of myocardial perfusionOpacification gradeEchocardiographic examinationImagesContrast administrationDisplayRegions of pathologyMyocardial perfusionSegmentsClinical potentialImaging modalities
1980
Spatial filtering of electron micrographs of negatively stained α-amylase crystals
Shelley K, Hillman B, McPherson A. Spatial filtering of electron micrographs of negatively stained α-amylase crystals. Ultramicroscopy 1980, 5: 281-295. PMID: 6158158, DOI: 10.1016/0304-3991(80)90033-9.Peer-Reviewed Original Research
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