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Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning
  to Integrate Multimodal and Dynamic Functional Connectomics data for
  Multidimensional Clinical Characterizations

Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations

27 August 2020
N. S. D'Souza
M. B. Nebel
D. Crocetti
N. Wymbs
Joshua Robinson
S. Mostofsky
A. Venkataraman
ArXiv (abs)PDFHTML

Papers citing "Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations"

8 / 8 papers shown
Title
A Joint Network Optimization Framework to Predict Clinical Severity from
  Resting State Functional MRI Data
A Joint Network Optimization Framework to Predict Clinical Severity from Resting State Functional MRI Data
N. S. D'Souza
M. B. Nebel
N. Wymbs
S. Mostofsky
A. Venkataraman
33
9
0
27 Aug 2020
Integrating Neural Networks and Dictionary Learning for Multidimensional
  Clinical Characterizations from Functional Connectomics Data
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data
N. S. D'Souza
M. B. Nebel
N. Wymbs
S. Mostofsky
A. Venkataraman
15
14
0
03 Jul 2020
A Coupled Manifold Optimization Framework to Jointly Model the
  Functional Connectomics and Behavioral Data Spaces
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces
N. S. D'Souza
M. B. Nebel
N. Wymbs
S. Mostofsky
A. Venkataraman
11
5
0
03 Jul 2020
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
Soham Gadgil
Qingyu Zhao
A. Pfefferbaum
E. Sullivan
Ehsan Adeli
K. Pohl
130
153
0
24 Mar 2020
Disease Prediction using Graph Convolutional Networks: Application to
  Autism Spectrum Disorder and Alzheimer's Disease
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease
Sarah Parisot
S. Ktena
Enzo Ferrante
M. J. Lee
Ricardo Guerrero
Ben Glocker
Daniel Rueckert
MedIm
66
532
0
05 Jun 2018
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum
  Disorder Classification
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification
Rushil Anirudh
Jayaraman J. Thiagarajan
60
90
0
24 Apr 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
601
12,741
0
11 Dec 2014
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