Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling

26 September 2021

Papers citing "Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling"

8 / 8 papers shown

Title
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks Sadaf Sadeghian Xiaoxiao Li Margo Seltzer 45 0 0 02 Oct 2024
MCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorder Peng Wang Xin Wen Ruochen Cao Chengxin Gao Yanrong Hao Rui Cao 27 0 0 10 Sep 2024
Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification Rui Yang Wenrui Dai H. She Yiping P. Du Dapeng Wu Hongkai Xiong 30 2 0 16 Dec 2023
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models Siyi Tang Jared A. Dunnmon Liangqiong Qu Khaled Kamal Saab T. Baykaner Christopher Lee-Messer D. Rubin 30 21 0 21 Nov 2022
Benchmarking Graph Neural Networks for FMRI analysis A. E. Gazzar R. Thomas G. Wingen 35 6 0 16 Nov 2022
fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models A. E. Gazzar R. Thomas G. Wingen 27 3 0 08 Aug 2022
Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models A. E. Gazzar R. Thomas G. Wingen AI4MH 18 6 0 07 Jun 2022
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis S. Gadgil Qingyu Zhao A. Pfefferbaum E. Sullivan Ehsan Adeli K. Pohl 76 152 0 24 Mar 2020