Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2003.10613
Cited By
v1
v2
v3 (latest)
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
24 March 2020
Soham Gadgil
Qingyu Zhao
A. Pfefferbaum
E. Sullivan
Ehsan Adeli
K. Pohl
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis"
43 / 43 papers shown
Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data
Mohammad Hosseini
Maryam M. Shanechi
AI4CE
195
4
0
23 Sep 2025
Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction
Qinwen Ge
Roza G. Bayrak
Anwar Said
Catie Chang
X. Koutsoukos
Tyler Derr
127
0
0
17 Aug 2025
BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation
Yiran Huang
Amirhossein Nouranizadeh
Christine Ahrends
Mengjia Xu
144
1
0
09 Aug 2025
SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics
Siddharth Viswanath
Rahul Singh
Yanlei Zhang
J. Adam Noah
Joy Hirsch
Smita Krishnaswamy
183
0
0
19 Jun 2025
BrainNetMLP: An Efficient and Effective Baseline for Functional Brain Network Classification
Jiacheng Hou
Zhenjie Song
Ercan Engin Kuruoglu
347
2
0
14 May 2025
Comorbidity-Informed Transfer Learning for Neuro-developmental Disorder Diagnosis
Xin Wen
Shijie Guo
Wenbo Ning
Rui Cao
Jie Xiang
Xiaobo Liu
Jintai Chen
171
0
0
13 Apr 2025
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
Suchanuch Piriyasatit
Chaohao Yuan
Ercan Engin Kuruoglu
316
0
0
16 Mar 2025
SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis
Camila Gonzalez
Yanis Miraoui
Yiran Fan
Ehsan Adeli
K. Pohl
170
0
0
24 Sep 2024
Graph Neural Networks for Brain Graph Learning: A Survey
Xuexiong Luo
Hongzhi Zhang
Jian Yang
Shan Xue
Amin Beheshti
Quan Z. Sheng
David Mcalpine
Paul F. Sowman
Alexis Giral
Philip S. Yu
AI4CE
238
21
0
01 Jun 2024
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
Haoteng Tang
Guodong Liu
Siyuan Dai
Kai Ye
Kun Zhao
...
Lifang He
Alex Leow
Paul M. Thompson
Heng-Chiao Huang
Chen Tang
225
3
0
21 May 2024
ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI
NeuroImage (NeuroImage), 2024
Yuqi Fang
Junhao Zhang
Linmin Wang
Qianqian Wang
Mingxia Liu
MedIm
260
7
0
10 May 2024
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain
Jungwon Choi
Hyungi Lee
Byung-Hoon Kim
Juho Lee
396
2
0
11 Mar 2024
Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks
Jun-En Ding
Shihao Yang
Anna Zilverstand
Feng Liu
265
0
0
29 Feb 2024
Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction
Wenhui Cui
H. Akrami
Ganning Zhao
Anand A. Joshi
Richard M. Leahy
137
5
0
21 Dec 2023
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
196
3
0
16 Dec 2023
Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Xiatian Zhang
Sisi Zheng
Hubert P. H. Shum
Haozheng Zhang
Nan Song
Mingkang Song
Hongxiao Jia
195
1
0
17 Nov 2023
Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis
Xuan Kan
Antonio Aodong Chen Gu
Hejie Cui
Ying Guo
Carl Yang
MedIm
199
22
0
05 Sep 2023
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification
Neural Networks (Neural Netw.), 2023
Junhao Zhang
Qianqian Wang
Xiaochuan Wang
Lishan Qiao
Mingxia Liu
242
21
0
20 Aug 2023
SwiFT: Swin 4D fMRI Transformer
Neural Information Processing Systems (NeurIPS), 2023
P. Y. Kim
Junbeom Kwon
Sunghwan Joo
Sang-Peel Bae
Donggyu Lee
Yoonho Jung
Shinjae Yoo
Jiook Cha
Taesup Moon
MedIm
392
48
0
12 Jul 2023
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI
IEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2023
Qianqian Wang
Wei Wang
Yuqi Fang
P. Yap
Hongtu Zhu
Hong-jun Li
Lishan Qiao
Mingxia Liu
183
18
0
24 Jun 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
Neural Information Processing Systems (NeurIPS), 2023
Anwar Said
Roza G. Bayrak
Hanyu Wang
Mudassir Shabbir
Daniel Moyer
Catie Chang
X. Koutsoukos
364
52
0
09 Jun 2023
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs
Wenhui Cui
H. Akrami
Anand A. Joshi
Richard M. Leahy
189
1
0
16 Dec 2022
Benchmarking Graph Neural Networks for FMRI analysis
A. E. Gazzar
R. Thomas
G. Wingen
166
9
0
16 Nov 2022
Spatial Temporal Graph Convolution with Graph Structure Self-learning for Early MCI Detection
IEEE International Symposium on Biomedical Imaging (ISBI), 2022
Yunpeng Zhao
F. Zhou
Bin Guo
Bo Liu
274
6
0
11 Nov 2022
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yueting Li
Qingyue Wei
Ehsan Adeli
K. Pohl
Qingyu Zhao
272
17
0
27 Oct 2022
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning
Alexander Campbell
A. Zippo
L. Passamonti
N. Toschi
Pietro Lio
223
8
0
27 Sep 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViT
MedIm
AI4CE
419
144
0
27 Sep 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
174
4
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
180
9
0
07 Jun 2022
BolT: Fused Window Transformers for fMRI Time Series Analysis
H. Bedel
Irmak Sivgin
Onat Dalmaz
S. Dar
Tolga Çukur
419
101
0
23 May 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Kamilia Mullakaeva
Luca Cosmo
Anees Kazi
Seyed-Ahmad Ahmadi
Nassir Navab
Michael M. Bronstein
217
13
0
01 Apr 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Kexin Ding
Mu Zhou
Zichen Wang
Qiao Liu
C. Arnold
Shaoting Zhang
Dimitris N. Metaxas
GNN
MedIm
AI4CE
271
18
0
17 Feb 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
360
3
0
04 Feb 2022
Inferring Brain Dynamics via Multimodal Joint Graph Representation EEG-fMRI
Jalal Mirakhorli
134
1
0
21 Jan 2022
Learning to Model the Relationship Between Brain Structural and Functional Connectomes
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2021
Yang Li
Gonzalo Mateos
Zhengwu Zhang
154
16
0
18 Dec 2021
Self-Supervised Transformers for fMRI representation
Itzik Malkiel
Gony Rosenman
Lior Wolf
Talma Hendler
ViT
MedIm
202
33
0
10 Dec 2021
A deep learning model for data-driven discovery of functional connectivity
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
GNN
157
27
0
07 Dec 2021
Heterogeneous Graph-Based Multimodal Brain Network Learning
Gen Shi
Yifan Zhu
Wenjin Liu
Quanming Yao
Xia Li
328
16
0
16 Oct 2021
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
A. E. Gazzar
R. Thomas
G. Wingen
217
22
0
26 Sep 2021
Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity
Simon Dahan
Logan Z. J. Williams
Daniel Rueckert
E. C. Robinson
72
26
0
07 Sep 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
Neural Information Processing Systems (NeurIPS), 2021
Byung-Hoon Kim
Jong Chul Ye
Jae-Jin Kim
408
187
0
27 May 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
Italian National Conference on Sensors (INS), 2021
David Ahmedt-Aristizabal
M. Armin
Akila Pemasiri
Clinton Fookes
L. Petersson
281
232
0
27 May 2021
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations
NeuroImage (NeuroImage), 2020
N. S. D'Souza
M. B. Nebel
D. Crocetti
N. Wymbs
Joshua Robinson
S. Mostofsky
A. Venkataraman
171
19
0
27 Aug 2020
1
Page 1 of 1
