Yafei Dong
Associate Research Scientist in Radiology and Biomedical ImagingAbout
Research
Publications
2024
PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets
Yu B, Ozdemir S, Dong Y, Shao W, Shi K, Gong K. PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets. Lecture Notes In Computer Science 2024, 15007: 541-550. DOI: 10.1007/978-3-031-72104-5_52.ChaptersDenoising diffusion probabilistic modelPET image denoisingDiffusion probabilistic modelImage denoisingFDG-PET datasetComputer-vision tasksProbabilistic modelLow-dose imagesConvolutional networkDenoisingEdge contourGenerative modelScoring functionDatasetPET datasetsPhysical degrading factorsExperimental resultsPositron emission tomographyNetworkPhoton countingTest dataImagesHigh confidenceUNetDegradation factorsHead and neck tumor segmentation from [18F]F-FDG PET/CT images based on 3D diffusion model
Dong Y, Gong K. Head and neck tumor segmentation from [18F]F-FDG PET/CT images based on 3D diffusion model. Physics In Medicine And Biology 2024, 69: 155001. PMID: 38959909, PMCID: PMC11302413, DOI: 10.1088/1361-6560/ad5ef2.Peer-Reviewed Original ResearchConceptsTumor segmentationNetwork inputState-of-the-art techniquesState-of-the-artAccurate segmentation resultsSingle-modal dataPET/CT imagingCancer managementChallenge datasetSegmentation masksCT volumesUNet structureSegmentation resultsU-NetCT imagesDiffusion modelCT dataReversal processPrevalent typeTumor maskQuantitative metricsTumorProposed diffusion modelCTNoise volume
2023
Attenuation correction for PET imaging using conditional denoising diffusion probabilistic model
Dong Y, Jang S, Han P, Johnson K, Ma C, Fakhri G, Li Q, Gong K. Attenuation correction for PET imaging using conditional denoising diffusion probabilistic model. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338188.Peer-Reviewed Original ResearchDiffusion probabilistic modelGenerative adversarial networkConditional encodingAttenuation correctionDenoising diffusion probabilistic modelLow-level featuresProbabilistic modelAttenuation coefficientAdversarial networkExtract featuresPET/MR systemsEncodingPET acquisitionNovel methodDiffusion encodingMagnetic resonanceImagesPET imagingCorrectionMR imagingUNetAttenuationNetworkFeaturesResonance
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