2024
REliable PIcking by Consensus (REPIC): a consensus methodology for harnessing multiple cryo-EM particle pickers
Cameron C, Seager S, Sigworth F, Tagare H, Gerstein M. REliable PIcking by Consensus (REPIC): a consensus methodology for harnessing multiple cryo-EM particle pickers. Communications Biology 2024, 7: 1421. PMID: 39482410, PMCID: PMC11528043, DOI: 10.1038/s42003-024-07045-0.Peer-Reviewed Original ResearchConceptsCryo-EM usersParticle identificationParticle pickingLow signal-to-noise ratioAchievable resolutionSignal-to-noise ratioState-of-the-art computational algorithmsInteger linear programmingParticle setManual interventionHigh-quality particlesGraph problemsParticle locationMultiple pickersParticlesEfficient standardization of clinical T2‐weighted images: Phase‐conjugacy e‐CAMP with projected gradient descent
Zhang H, Elsaid N, Sun H, Tagare H, Galiana G. Efficient standardization of clinical T2‐weighted images: Phase‐conjugacy e‐CAMP with projected gradient descent. Magnetic Resonance In Medicine 2024, 92: 2723-2733. PMID: 38988054, DOI: 10.1002/mrm.30214.Peer-Reviewed Original ResearchData fidelity termSignal evolution modelFidelity termGradient descentProjected GradientEfficient algorithmVirtual conjugate coilAlgorithmObjective functionMapping errorsTunable parametersLinear constraintsSampling schemeTSE dataLong echo train lengthMapsTrain lengthVirtualTurbo spin echoEcho train lengthHigh-resolutionSchemeDataBackground phaseError rangeConstrained alternating minimization for parameter mapping (CAMP)
Elsaid N, Dispenza N, Hu C, Peters D, Constable R, Tagare H, Galiana G. Constrained alternating minimization for parameter mapping (CAMP). Magnetic Resonance Imaging 2024, 110: 176-183. PMID: 38657714, PMCID: PMC11193090, DOI: 10.1016/j.mri.2024.04.029.Peer-Reviewed Original ResearchConceptsAlternating minimizationAccelerated parameter mappingImage qualityReconstructed image qualityEfficient reconstruction algorithmSacrificing model accuracyParameter mapsPhantom studyK-space samplingAcceleration datasetsK-spaceUndersampling artifactsCartesian acquisitionConsecutive imagesReconstruction algorithmIndividual imagesModel cost functionExponential decayEcho timeReconstruction methodCost functionReduce artifactsPhantomScan timeObjective function
2023
A Simulation Study of the Effect of Sampling Strategy on Computation of T2 Maps
Galiana G, Elsaid N, Tagare H. A Simulation Study of the Effect of Sampling Strategy on Computation of T2 Maps. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/1634.Peer-Reviewed Original ResearchA novel method to calculate standardized quantitative maps from a single T2-weighted image: A feasibility study.
Elsaid N, Tagare H, Galiana G. A novel method to calculate standardized quantitative maps from a single T2-weighted image: A feasibility study. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/0288.Peer-Reviewed Original Research
2008
Fast, Adaptive Expectation-Maximization Alignment for Cryo-EM
Tagare HD, Sigworth F, Barthel A. Fast, Adaptive Expectation-Maximization Alignment for Cryo-EM. Lecture Notes In Computer Science 2008, 11: 855-862. PMID: 18982685, DOI: 10.1007/978-3-540-85990-1_103.Peer-Reviewed Original ResearchEvaluation of a Cardiac Ultrasound Segmentation Algorithm Using a Phantom
Yue Y, Tagare HD, Madsen EL, Frank GR, Hobson MA. Evaluation of a Cardiac Ultrasound Segmentation Algorithm Using a Phantom. Lecture Notes In Computer Science 2008, 11: 101-109. PMID: 18979737, PMCID: PMC2840385, DOI: 10.1007/978-3-540-85988-8_13.Peer-Reviewed Original ResearchComparison of EM-based and Level Set Partial Volume Segmentations of MR Brain Images
Tagare H. D., Chen Y., Fulbright R. K., “Comparison of EM-based and Level Set Partial Volume Segmentations of MR Brain Images”, (J. M. Reinhardt, J. P. W. Pluim, eds.), Medical Imaging 2208, Proc. SPIE vol6914, pp.69140N-1 - 69140N-7, 2008.Peer-Reviewed Original ResearchSymmetric Non-rigid Registration: A Geometric Theory and Some Numerical Techniques
Tagare H.D., Groisser D., Skrinjar O., “Symmetric Non-rigid Registration: A Geometric Theory and Some Numerical Techniques”, Journal of Mathematical Imaging and Vision 2008.Peer-Reviewed Original Research
2006
A Geometric Theory of Symmetric Registration
Tagare H. D., Groisser D., Skrinjar O. "A Geometric Theory of Symmetric Registration." Mathematical Methods in Biomedical Image Analysis, Intl. Conference on Computer Vision and Pattern Recognition, New York, NY, 2006.Peer-Reviewed Original Research