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Learning Neural Representations of Human Cognition across Many fMRI
  Studies

Learning Neural Representations of Human Cognition across Many fMRI Studies

31 October 2017
G. Flandin
D. Handwerker
Michael Hanke
D. Keator
Thomas E. Nichols
    AI4CE
ArXivPDFHTML

Papers citing "Learning Neural Representations of Human Cognition across Many fMRI Studies"

15 / 15 papers shown
Title
Domain adaptation in small-scale and heterogeneous biological datasets
Domain adaptation in small-scale and heterogeneous biological datasets
Seyedmehdi Orouji
Martin C. Liu
T. Korem
Megan A. K. Peters
21
7
0
29 May 2024
BolT: Fused Window Transformers for fMRI Time Series Analysis
BolT: Fused Window Transformers for fMRI Time Series Analysis
H. Bedel
Irmak Sivgin
Onat Dalmaz
S. Dar
Tolga Çukur
59
54
0
23 May 2022
Multi network InfoMax: A pre-training method involving graph
  convolutional networks
Multi network InfoMax: A pre-training method involving graph convolutional networks
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
AI4CE
6
1
0
01 Nov 2021
Shared Space Transfer Learning for analyzing multi-site fMRI data
Shared Space Transfer Learning for analyzing multi-site fMRI data
Muhammad Yousefnezhad
A. Selvitella
Daoqiang Zhang
A. Greenshaw
Russell Greiner
8
14
0
24 Oct 2020
Generalizable Machine Learning in Neuroscience using Graph Neural
  Networks
Generalizable Machine Learning in Neuroscience using Graph Neural Networks
Paul Yung-Pou Wang
Sandalika Sapra
V. George
Gabriel A. Silva
GNN
AI4CE
12
14
0
16 Oct 2020
Whole MILC: generalizing learned dynamics across tasks, datasets, and
  populations
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations
Usman Mahmood
Md. Mahfuzur Rahman
A. Fedorov
N. Lewis
Z. Fu
Vince D. Calhoun
Sergey Plis
12
22
0
29 Jul 2020
Improving the Interpretability of fMRI Decoding using Deep Neural
  Networks and Adversarial Robustness
Improving the Interpretability of fMRI Decoding using Deep Neural Networks and Adversarial Robustness
Patrick McClure
Dustin Moraczewski
K. Lam
Adam G. Thomas
Francisco Pereira
FAtt
AAML
16
4
0
23 Apr 2020
Fine-grain atlases of functional modes for fMRI analysis
Fine-grain atlases of functional modes for fMRI analysis
Kamalaker Dadi
Gaël Varoquaux
Antonia Machlouzarides-Shalit
Krzysztof J. Gorgolewski
Demian Wassermann
B. Thirion
A. Mensch
AI4CE
31
88
0
05 Mar 2020
Learnt dynamics generalizes across tasks, datasets, and populations
Learnt dynamics generalizes across tasks, datasets, and populations
Usman Mahmood
M. M. Rahman
A. Fedorov
Z. Fu
Vince D. Calhoun
Sergey Plis
17
4
0
04 Dec 2019
Transfer Learning of fMRI Dynamics
Transfer Learning of fMRI Dynamics
Usman Mahmood
Md. Mahfuzur Rahman
A. Fedorov
Z. Fu
Sergey Plis
11
9
0
16 Nov 2019
Neural Topographic Factor Analysis for fMRI Data
Neural Topographic Factor Analysis for fMRI Data
Eli Sennesh
Zulqarnain Khan
Yiyu Wang
Jennifer Dy
Ajay B. Satpute
J. B. Hutchinson
Jan-Willem van de Meent
16
4
0
21 Jun 2019
Domain Independent SVM for Transfer Learning in Brain Decoding
Domain Independent SVM for Transfer Learning in Brain Decoding
Shuo Zhou
Wenwen Li
Christopher R. Cox
Haiping Lu
6
2
0
26 Mar 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
13
10
0
18 Dec 2018
Computational and informatics advances for reproducible data analysis in
  neuroimaging
Computational and informatics advances for reproducible data analysis in neuroimaging
R. Poldrack
Krzysztof J. Gorgolewski
Gaël Varoquaux
AI4CE
16
46
0
24 Sep 2018
Extracting representations of cognition across neuroimaging studies
  improves brain decoding
Extracting representations of cognition across neuroimaging studies improves brain decoding
A. Mensch
Julien Mairal
B. Thirion
Gaël Varoquaux
AI4CE
24
15
0
17 Sep 2018
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