2024
Diffusion Model-Based Posterior Distribution Prediction for Kinetic Parameter Estimation in Dynamic PET
Djebra Y, Liu X, Marin T, Tiss A, Dhaynaut M, Guehl N, Johnson K, Fakhri G, Ma C, Ouyang J. Diffusion Model-Based Posterior Distribution Prediction for Kinetic Parameter Estimation in Dynamic PET. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2024, 00: 1-5. PMID: 39530051, PMCID: PMC11554386, DOI: 10.1109/isbi56570.2024.10635805.Peer-Reviewed Original ResearchPosterior distributions of kinetic parametersDenoising diffusion probabilistic modelHyperphosphorylated tauP-tauDiffusion probabilistic modelAlzheimer's diseaseNeurodegenerative diseasesKinetic parametersPosterior distributionInference efficiencyComputational needsEstimate kinetic parametersProbabilistic modelComputation time
2013
Generalization Evaluation of Machine Learning Numerical Observers for Image Quality Assessment
Kalayeh M, Marin T, Brankov J. Generalization Evaluation of Machine Learning Numerical Observers for Image Quality Assessment. IEEE Transactions On Nuclear Science 2013, 60: 1609-1618. PMID: 25346545, PMCID: PMC4207371, DOI: 10.1109/tns.2013.2257183.Peer-Reviewed Original ResearchImage quality assessmentChannelized Hotelling observerHuman observer performanceVector machineMachine learningHuman observersTask-based evaluationEvaluation of medical imagesKernel-based regression modelsSupport vector machineInternal noise modelRelevance vector machineReduce model complexityMachine-learning frameworkBayesian machine-learning frameworkGeneralization performanceMedical imagesDetection taskQuality assessmentReconstructed imagesComputation timeHotelling observerNoise modelReconstruction methodModel complexity