Yafei Dong
Postdoctoral AssociateAbout
Titles
Postdoctoral Associate
Appointments
Radiology & Biomedical Imaging
Postdoctoral AssociatePrimary
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Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Yafei Dong's published research.
Chao Ma, PhD
Georges El Fakhri, PhD, DABR
Paul Han, PhD
Se-In Jang
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.Peer-Reviewed Original ResearchConceptsDenoising 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 ResearchMeSH Keywords and ConceptsConceptsTumor 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 ResearchCitationsConceptsDiffusion 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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