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Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising., , , , , , and . CoRR, (2022)Head and Neck Tumor Segmentation from 18FF-FDG PET/CT Images Based on 3D Diffusion Model., and . CoRR, (2024)SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images., , , , and . CoRR, (2023)PET image denoising based on denoising diffusion probabilistic models., , , , and . CoRR, (2022)Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network., , , , , , and . NeuroImage, (2021)Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior., , , and . CoRR, (2021)Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity., , , , , and . IEEE Trans. Med. Imaging, 37 (4): 955-965 (2018)Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples., , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 741-749. Springer, (2019)Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting., , , , , , , , and . IEEE Trans. Med. Imaging, 37 (6): 1478-1487 (2018)Penalized-Likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding., , , , , , and . IEEE Trans. Biomed. Eng., 69 (1): 4-14 (2022)