Multivariate analysis for the Imaging of Neuronal activity using Deep architectureS

Project Information

MINDS

Grant agreement ID: 659860

DOI 10.3030/659860

Project closed

EC signature date 30 March 2015

Start date 11 January 2016

End date 10 January 2018

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 212 194,80

EU contribution € 212 194,80

Coordinated by

DANMARKS TEKNISKE UNIVERSITET
Denmark

Publications

Conference proceedings (3)

Towards end-to-end optimisation of functional image analysis pipelines.

Author(s): Albert Vilamala, Kristoffer H. Madsen, Lars K. Hansen
Published in: 2016
Publisher: arXiv.org

Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring

Author(s): Albert Vilamala, Kristoffer H. Madsen, Lars K. Hansen
Published in: 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), 2017, Page(s) 1-6, ISBN 978-1-5090-6341-3
Publisher: IEEE
DOI: 10.1109/MLSP.2017.8168133

Adaptive smoothing in fMRI data processing neural networks

Author(s): Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
Published in: 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2017, Page(s) 1-4, ISBN 978-1-5386-3159-1
Publisher: IEEE
DOI: 10.1109/PRNI.2017.7981499

Other (1)

EEG Biofeedback for Relaxation using Deep Neural Networks.

Author(s): Albert Vilamala, Kristoffer H. Madsen, Lars K. Hansen
Published in: 2017
Publisher: ATP1A3 in Disease Symposia