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fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models.

, , и . MLCN@MICCAI, том 13596 из Lecture Notes in Computer Science, стр. 158-168. Springer, (2022)

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Bruno Remo Guidotti

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Georg Wingen

Andreas Wingen

 

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A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study., , , , , и . OR/MLCN@MICCAI, том 11796 из Lecture Notes in Computer Science, стр. 95-102. Springer, (2019)Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism., , , и . IJCNN, стр. 1-6. IEEE, (2019)Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification., , , , , , и . MIDL, том 121 из Proceedings of Machine Learning Research, стр. 44-61. PMLR, (2020)Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling., , и . MLCN@MICCAI, том 13001 из Lecture Notes in Computer Science, стр. 125-134. Springer, (2021)fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models., , и . MLCN@MICCAI, том 13596 из Lecture Notes in Computer Science, стр. 158-168. Springer, (2022)Transformer-Based Deep Survival Analysis., , , и . SPACA, том 146 из Proceedings of Machine Learning Research, стр. 132-148. PMLR, (2021)A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study., , , , , и . CoRR, (2020)Divergent influences of anterior cingulate cortex GABA concentrations on the emotion circuitry., , , и . NeuroImage, (2017)Test-retest reliability of task-related pharmacological MRI with a single-dose oral citalopram challenge., , , , , и . NeuroImage, (2013)Subchronic duloxetine administration alters the extended amygdala circuitry in healthy individuals., , , , , и . NeuroImage, 55 (2): 825-831 (2011)