2024
Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising
Jang S, Pan T, Li Y, Heidari P, Chen J, Li Q, Gong K. Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising. IEEE Transactions On Medical Imaging 2024, 43: 2036-2049. PMID: 37995174, PMCID: PMC11111593, DOI: 10.1109/tmi.2023.3336237.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalNeural Networks, ComputerPositron-Emission TomographySignal-To-Noise RatioConceptsMulti-head self-attentionConvolutional neural networkSelf-attentionSignal-to-noise ratioState-of-the-art deep learning architecturesGlobal self-attentionState-of-the-artLocal feature extractionDeep learning architectureLow signal-to-noise ratioImage denoisingChannel informationChannel-wiseLearning architectureFeature extractionNeural networkTransformation frameworkComputational costReceptive fieldsImage qualityQuantitative meritDenoisingFrameworkQuantitative resultsDataset
2023
SwinCross: Cross‐modal Swin transformer for head‐and‐neck tumor segmentation in PET/CT images
Li G, Chen J, Jang S, Gong K, Li Q. SwinCross: Cross‐modal Swin transformer for head‐and‐neck tumor segmentation in PET/CT images. Medical Physics 2023, 51: 2096-2107. PMID: 37776263, PMCID: PMC10939987, DOI: 10.1002/mp.16703.Peer-Reviewed Original ResearchMeSH KeywordsHead and Neck NeoplasmsHumansImage Processing, Computer-AssistedLearningNeural Networks, ComputerPositron Emission Tomography Computed TomographyPositron-Emission TomographyConceptsCross-modal attentionDeep convolutional neural networkSemantic segmentation taskSwin TransformerFeature representationSegmentation taskAttention moduleTumor segmentationState-of-the-art transformer-based modelsMultiple resolutionsSegmentation modelModel long-range dependenciesMulti-modal feature representationCross-modal attention moduleMulti-modal input dataSelf-attention mechanismState-of-the-artTransformer-based modelsNovel segmentation modelConvolutional neural networkVision Transformer modelMulti-modal dataInter-modal correlationHead and neckTransformation model