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fMRI-S4: learning short- and long-range dynamic fMRI dependencies using
  1D Convolutions and State Space Models

fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models

8 August 2022
A. E. Gazzar
R. Thomas
G. Wingen
ArXivPDFHTML

Papers citing "fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models"

2 / 2 papers shown
Title
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
S. Gadgil
Qingyu Zhao
A. Pfefferbaum
E. Sullivan
Ehsan Adeli
K. Pohl
67
150
0
24 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
1