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A Matrix Autoencoder Framework to Align the Functional and Structural
  Connectivity Manifolds as Guided by Behavioral Phenotypes
v1v2 (latest)

A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes

30 May 2021
N. S. D'Souza
M. B. Nebel
D. Crocetti
N. Wymbs
Joshua Robinson
S. Mostofsky
A. Venkataraman
ArXiv (abs)PDFHTML

Papers citing "A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes"

3 / 3 papers shown
Title
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized
  Multimodal Fusion of Medical Data for Outcome Prediction
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
N. S. D'Souza
Hongzhi Wang
Andrea Giovannini
A. Foncubierta-Rodríguez
Kristen L. Beck
Orest Boyko
Tanveer Syeda-Mahmood
39
4
0
13 Jul 2023
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery
  from Functional Connectomics Manifolds
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds
N. S. D'Souza
A. Venkataraman
23
3
0
27 Mar 2023
Joint Graph Convolution for Analyzing Brain Structural and Functional
  Connectome
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome
Yueting Li
Qingyue Wei
Ehsan Adeli
K. Pohl
Qingyu Zhao
58
10
0
27 Oct 2022
1