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Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification.

, , , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 44-61. PMLR, (2020)

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A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study., , , , , and . OR/MLCN@MICCAI, volume 11796 of Lecture Notes in Computer Science, page 95-102. Springer, (2019)Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism., , , and . IJCNN, page 1-6. IEEE, (2019)Benchmarking Graph Neural Networks for FMRI analysis., , and . CoRR, (2022)Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification., , , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 44-61. PMLR, (2020)Transformer-Based Deep Survival Analysis., , , and . SPACA, volume 146 of Proceedings of Machine Learning Research, page 132-148. PMLR, (2021)Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling., , and . MLCN@MICCAI, volume 13001 of Lecture Notes in Computer Science, page 125-134. Springer, (2021)fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models., , and . MLCN@MICCAI, volume 13596 of Lecture Notes in Computer Science, page 158-168. Springer, (2022)A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study., , , , , and . CoRR, (2020)Association between neuroticism and amygdala responsivity emerges under stressful conditions., , , , and . NeuroImage, (2015)Amygdala responsivity related to memory of emotionally neutral stimuli constitutes a trait factor for depression., , , , , , and . NeuroImage, 54 (2): 1677-1684 (2011)