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A Noise-Level-Aware Framework for PET Image Denoising.

, , , , , , , , , и . MLMIR@MICCAI, том 13587 из Lecture Notes in Computer Science, стр. 75-83. Springer, (2022)

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Quanzheng Sheng

Li Li

Li Li

Li Li

Li Li

 

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Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging., , , , , и . IEEE BigData, стр. 5359-5363. IEEE, (2019)Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations., , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 3282-3291. PMLR, (2018)ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning., , , , и . ISBI, стр. 144-148. IEEE, (2020)Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior., , , и . IEEE Trans. Medical Imaging, 41 (3): 680-689 (2022)Diffusion Model for Generative Image Denoising., , , и . CoRR, (2023)Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification., , , , , и . MICCAI (7), том 12267 из Lecture Notes in Computer Science, стр. 508-517. Springer, (2020)Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network., , , , , , , и . MICCAI (7), том 12267 из Lecture Notes in Computer Science, стр. 793-802. Springer, (2020)PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss., , , , , , , , , и . MICCAI (4), том 13434 из Lecture Notes in Computer Science, стр. 173-183. Springer, (2022)Multi-label Detection and Classification of Red Blood Cells in Microscopic Images., , , , , , и . IEEE BigData, стр. 4257-4263. IEEE, (2020)Contrastive Learning Via Equivariant Representation., , , , , , , , и . CoRR, (2024)