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Machine Learning Methods for Brain Network Classification: Application
  to Autism Diagnosis using Cortical Morphological Networks

Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks

28 April 2020
Ismail Bilgen
Goktug Guvercin
I. Rekik
ArXivPDFHTML

Papers citing "Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks"

6 / 6 papers shown
Title
Metadata-Driven Federated Learning of Connectional Brain Templates in
  Non-IID Multi-Domain Scenarios
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
Geng Chen
Qingyue Wang
I. Rekik
36
0
0
14 Mar 2024
Brain informed transfer learning for categorizing construction hazards
Brain informed transfer learning for categorizing construction hazards
Xiaoshan Zhou
P-C. Liao
24
2
0
17 Nov 2022
Comparative study of machine learning and deep learning methods on ASD
  classification
Comparative study of machine learning and deep learning methods on ASD classification
R. Rimal
Mitchell Brannon
Yingxin Wang
Xin Yang
20
1
0
18 Sep 2022
A Comparative Study of Machine Learning Methods for Predicting the
  Evolution of Brain Connectivity from a Baseline Timepoint
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint
Seymanur Akti
Dogay Kamar
Ö. A. Özlü
Ihsan Soydemir
Muhammet Akcan
Abdullah Kul
I. Rekik
19
7
0
16 Sep 2021
Multi-Scale Profiling of Brain Multigraphs by Eigen-based
  Cross-Diffusion and Heat Tracing for Brain State Profiling
Multi-Scale Profiling of Brain Multigraphs by Eigen-based Cross-Diffusion and Heat Tracing for Brain State Profiling
M. Saglam
I. Rekik
16
2
0
24 Sep 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
261
3,240
0
24 Nov 2016
1