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COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism.

, , , , , and . MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 194-204. Springer, (2023)

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Multi-channel Sparse Graph Transformer Network for Early Alzheimer's Disease Identification., , , , , , and . ISBI, page 1794-1797. IEEE, (2021)Diagnosis of Covid-19 Via Multi-Layer Multi-Center Graph Attention Network., , , , , , and . ISBI, page 1-4. IEEE, (2023)Structure and Feature Based Graph U-Net for Early Alzheimer's Disease Prediction., , , , and . ML-CDS@MICCAI, volume 13050 of Lecture Notes in Computer Science, page 93-104. Springer, (2021)Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease., , , , , and . MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 124-133. Springer, (2020)Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images., , , , , and . MOVI@MICCAI, volume 13578 of Lecture Notes in Computer Science, page 167-176. Springer, (2022)Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection., , , , , and . GLMI@MICCAI, volume 11849 of Lecture Notes in Computer Science, page 79-87. Springer, (2019)Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning., , , , , and . PRIME@MICCAI, volume 11843 of Lecture Notes in Computer Science, page 142-150. Springer, (2019)COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism., , , , , and . MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 194-204. Springer, (2023)