STDCformer: Spatial-temporal dual-path cross-attention model for fMRI-based autism spectrum disorder identification

Author:

Zhang HaifengORCID,Song ChonghuiORCID,Zhao Xiaolong,Wang Fei,Qiu Yunlong,Li Hao,Guo Hongyi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference49 articles.

1. Stability analysis of fMRI BOLD signals for disease diagnosis;Ingabire;IEEE Trans. Neural Syst. Rehabil. Eng.,2022

2. Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: a review;Moridian;Front. Mol. Neurosci.,2022

3. Identifying autism from resting-state fMRI using long short-term memory networks;Dvornek,2017

4. CNNG: a convolutional neural networks with gated recurrent units for autism spectrum disorder classification;Jiang;Front. Aging Neurosci.,2022

5. BolT: fused window transformers for fMRI time series analysis;Bedel;Med. Image Anal.,2023

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