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3D Convolutional Neural Networks for Classification of Functional
  Connectomes

3D Convolutional Neural Networks for Classification of Functional Connectomes

11 June 2018
Meenakshi Khosla
K. Jamison
Amy Kuceyeski
M. Sabuncu
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Papers citing "3D Convolutional Neural Networks for Classification of Functional Connectomes"

9 / 9 papers shown
Title
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain
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
80
0
0
11 Mar 2024
Improving the Level of Autism Discrimination through GraphRNN Link
  Prediction
Improving the Level of Autism Discrimination through GraphRNN Link Prediction
Haonan Sun
Q. He
Shouliang Qi
Yudong Yao
Yueyang Teng
22
0
0
19 Feb 2022
MHATC: Autism Spectrum Disorder identification utilizing multi-head
  attention encoder along with temporal consolidation modules
MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules
Ranjeet Ranjan Jha
Abhishek Bhardwaj
Devina Garg
Arnav V. Bhavsar
A. Nigam
21
2
0
27 Dec 2021
Identifying Autism Spectrum Disorder Based on Individual-Aware
  Down-Sampling and Multi-Modal Learning
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning
Li Pan
Jundong Liu
M. Shi
C. Wong
K. Chan
35
11
0
19 Sep 2021
Deep Volumetric Ambient Occlusion
Deep Volumetric Ambient Occlusion
Dominik Engel
Timo Ropinski
26
22
0
19 Aug 2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of
  Autism Spectrum Disorder: A Review
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Marjane Khodatars
A. Shoeibi
Delaram Sadeghi
Navid Ghaasemi
M. Jafari
...
Abbas Khosravi
S. Nahavandi
Sadiq Hussain
U. Acharya
M. Berk
33
203
0
02 Jul 2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
Li Zhang
Mingliang Wang
Mingxia Liu
Daoqiang Zhang
23
155
0
10 May 2020
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and
  Other Tasks
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
M. Leming
Juan M Gorriz
J. Suckling
19
51
0
14 Feb 2020
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI
  data: An ABIDE Autism Classification study
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study
A. E. Gazzar
Mirjam Quaak
L. Cerliani
Peter Bloem
G. Wingen
R. Thomas
28
35
0
14 Feb 2020
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