2023
Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network
Sun J, Yang B, Li C, Du Y, Liu Y, Wu T, Mok G. Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network. Frontiers In Medicine 2023, 10: 1083413. PMID: 36817784, PMCID: PMC9935600, DOI: 10.3389/fmed.2023.1083413.Peer-Reviewed Original ResearchAttention-guided generative adversarial networkGenerative adversarial networkAdversarial networkConvolutional neural network (CNN)-based methodsDeep learning-based denoisersCNN-based networkLearning-based denoisingLocal receptive fieldsReceptive fieldsAttention mechanismConvolution kernelAdam optimizerFive-fold cross-validationAttGANAcquisition timeList mode dataJoint histogramPerfusion defect sizeCGANDefect informationUNetDenoisingNetworkMP-SPECTProjection pairs
2022
Low Dose Myocardial Perfusion SPECT Denoising Using an Attention-Based Generative Adversarial Network
Sun J, Li C, Du Y, Wu T, Yang B, Liu Y, Mok G. Low Dose Myocardial Perfusion SPECT Denoising Using an Attention-Based Generative Adversarial Network. 2022, 00: 1-3. DOI: 10.1109/nss/mic44845.2022.10399080.Peer-Reviewed Original ResearchNormalized Mean Square ErrorConvolutional neural network (CNN)-based methodsDeep learning-based denoisersConditional generative adversarial networkKernel’s receptive fieldLearning-based denoisingGenerative adversarial networkProjection-domainReceptive fieldsMean square errorList mode dataDenoising performanceAttention schemeAdversarial networkConvolution kernelAdam optimizerPerfusion defect sizeDenoisingNormalized standard deviationFull doseCGANMP-SPECTDose levelsLow dosesSquare error