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Deep learning of fMRI big data: a novel approach to subject-transfer
  decoding

Deep learning of fMRI big data: a novel approach to subject-transfer decoding

31 January 2015
Sotetsu Koyamada
Yumi Shikauchi
Ken Nakae
Masanori Koyama
S. Ishii
ArXivPDFHTML

Papers citing "Deep learning of fMRI big data: a novel approach to subject-transfer decoding"

13 / 13 papers shown
Title
Explainable Emotion Decoding for Human and Computer Vision
Explainable Emotion Decoding for Human and Computer Vision
Alessio Borriero
Martina Milazzo
M. Diano
Davide Orsenigo
Maria Chiara Villa
Chiara Di Fazio
Marco Tamietto
Alan Perotti
28
0
0
01 Aug 2024
Synthetic Power Analyses: Empirical Evaluation and Application to
  Cognitive Neuroimaging
Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging
Peiye Zhuang
Bliss Chapman
Ran Li
Oluwasanmi Koyejo
11
1
0
11 Oct 2022
On the benefits of self-taught learning for brain decoding
On the benefits of self-taught learning for brain decoding
Elodie Germani
Elisa Fromont
Camille Maumet
FedML
SSL
9
0
0
19 Sep 2022
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
53
54
0
23 May 2022
Evaluating deep transfer learning for whole-brain cognitive decoding
Evaluating deep transfer learning for whole-brain cognitive decoding
A. Thomas
U. Lindenberger
Wojciech Samek
K. Müller
AI4CE
13
12
0
01 Nov 2021
Challenges for cognitive decoding using deep learning methods
Challenges for cognitive decoding using deep learning methods
A. Thomas
Christopher Ré
R. Poldrack
AI4CE
16
6
0
16 Aug 2021
FMRI data augmentation via synthesis
FMRI data augmentation via synthesis
Peiye Zhuang
A. Schwing
Oluwasanmi Koyejo
DiffM
MedIm
11
43
0
13 Jul 2019
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent
  Advances and New Frontiers
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
Xiang Zhang
Lina Yao
Xianzhi Wang
Jessica J. M. Monaghan
David Mcalpine
Yu Zhang
3DV
25
140
0
10 May 2019
A novel machine learning based framework for detection of Autism
  Spectrum Disorder (ASD)
A novel machine learning based framework for detection of Autism Spectrum Disorder (ASD)
H. Sharif
Rizwan Ahmed Khan
25
48
0
27 Mar 2019
Modeling Brain Networks with Artificial Neural Networks
Modeling Brain Networks with Artificial Neural Networks
B. B. Kivilcim
Itir Onal Ertugrul
Fatoş T. Yarman Vural
6
5
0
22 Jul 2018
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation
Po-Hsuan Chen
Xia Zhu
Hejia Zhang
Javier S. Turek
Janice Chen
Theodore L. Willke
Uri Hasson
Peter J. Ramadge
24
24
0
17 Aug 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
22
1,350
0
21 Mar 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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