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Machine Learning on Human Connectome Data from MRI

Machine Learning on Human Connectome Data from MRI

26 November 2016
Colin J. Brown
Ghassan Hamarneh
ArXivPDFHTML

Papers citing "Machine Learning on Human Connectome Data from MRI"

5 / 5 papers shown
Title
TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis
  Framework Using Spectral Embedding and Vision Transformers
TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers
Fan Zhang
Tengfei Xue
Weidong (Tom) Cai
Yogesh Rathi
C. Westin
L. O’Donnell
MedIm
34
8
0
05 Jul 2022
Ensemble learning with 3D convolutional neural networks for
  connectome-based prediction
Ensemble learning with 3D convolutional neural networks for connectome-based prediction
Meenakshi Khosla
K. Jamison
Amy Kuceyeski
M. Sabuncu
3DV
11
88
0
11 Sep 2018
3D Convolutional Neural Networks for Classification of Functional
  Connectomes
3D Convolutional Neural Networks for Classification of Functional Connectomes
Meenakshi Khosla
K. Jamison
Amy Kuceyeski
M. Sabuncu
9
78
0
11 Jun 2018
Unsupervised learning of the brain connectivity dynamic using residual
  D-net
Unsupervised learning of the brain connectivity dynamic using residual D-net
Youngjoo Seo
Manuel Morante
Y. Kopsinis
Sergios Theodoridis
15
4
0
20 Apr 2018
Cross-validation failure: small sample sizes lead to large error bars
Cross-validation failure: small sample sizes lead to large error bars
Gaël Varoquaux
16
522
0
23 Jun 2017
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