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Clinical decision support for Alzheimer's disease based on deep learning and brain network.

, , , , and . ICC, page 1-6. IEEE, (2016)

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Speckle Noise Removal in Ultrasound Images Using a Deep Convolutional Neural Network and a Specially Designed Loss Function., , , and . MMMI@MICCAI, volume 11977 of Lecture Notes in Computer Science, page 85-92. Springer, (2019)Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching., , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 733-740. Springer, (2014)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)Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising., , , , , , and . CoRR, (2022)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)Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease., , , and . IEEE J. Biomed. Health Informatics, 24 (11): 3095-3102 (2020)A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks., , , , , and . IEEE Trans. Biomed. Eng., 68 (5): 1579-1588 (2021)Matched subspace detection for dynamic PET: an ROC phantom study for MAP reconstruction., , , , and . ISBI, page 1332-1335. IEEE, (2006)