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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

14 February 2020
M. Leming
Juan M Gorriz
J. Suckling
ArXivPDFHTML

Papers citing "Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks"

10 / 10 papers shown
Title
Combining Radiomics and Machine Learning Approaches for Objective ASD
  Diagnosis: Verifying White Matter Associations with ASD
Combining Radiomics and Machine Learning Approaches for Objective ASD Diagnosis: Verifying White Matter Associations with ASD
Junlin Song
Yuzhuo Chen
Yuan Yao
Zetong Chen
Renhao Guo
...
Xinyi Sui
Qihang Wang
Xijiao Li
Aihua Cao
Wei Li
AI4CE
22
0
0
25 May 2024
Is K-fold cross validation the best model selection method for Machine
  Learning?
Is K-fold cross validation the best model selection method for Machine Learning?
Juan M Gorriz
F. Segovia
J. Ramírez
A. Ortiz
J. Suckling
39
17
0
29 Jan 2024
A residual dense vision transformer for medical image super-resolution
  with segmentation-based perceptual loss fine-tuning
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning
Jin Zhu
Guang Yang
Pietro Lio'
ViT
MedIm
32
5
0
22 Feb 2023
Automatic autism spectrum disorder detection using artificial
  intelligence methods with MRI neuroimaging: A review
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian
Navid Ghassemi
M. Jafari
S. Salloum-Asfar
Delaram Sadeghi
...
A. Subasi
R. Alizadehsani
Juan M Gorriz
Sara A. Abdulla
U. Acharya
8
74
0
20 Jun 2022
Interpretability of Machine Learning Methods Applied to Neuroimaging
Interpretability of Machine Learning Methods Applied to Neuroimaging
Elina Thibeau-Sutre
S. Collin
Ninon Burgos
O. Colliot
16
4
0
14 Apr 2022
A hypothesis-driven method based on machine learning for neuroimaging
  data analysis
A hypothesis-driven method based on machine learning for neuroimaging data analysis
J. Górriz
R. Martín-Clemente
C. Puntonet
A. Ortiz
J. Ramírez
J. Suckling
17
6
0
09 Feb 2022
MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution
MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution
Jin Zhu
Chuan Tan
Junwei Yang
Guang Yang
Pietro Lio'
OOD
MedIm
28
2
0
22 May 2021
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
28
202
0
02 Jul 2020
VPNet: Variable Projection Networks
VPNet: Variable Projection Networks
P. Kovács
Gergő Bognár
Christian Huber
M. Huemer
15
26
0
28 Jun 2020
Stochastic encoding of graphs in deep learning allows for complex
  analysis of gender classification in resting-state and task functional brain
  networks from the UK Biobank
Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank
M. Leming
J. Suckling
13
2
0
25 Feb 2020
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