De Martino F - Search Results

1

Less noise, more activation: Multiband acquisition schemes for auditory functional MRI.

De Martino F, Moerel M, Ugurbil K, Formisano E, Yacoub E. De Martino F, et al. Magn Reson Med. 2015 Aug;74(2):462-7. doi: 10.1002/mrm.25408. Epub 2014 Aug 8. Magn Reson Med. 2015. PMID: 25105832 Free PMC article. Clinical Trial.

2

Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers.

De Martino F, Gentile F, Esposito F, Balsi M, Di Salle F, Goebel R, Formisano E. De Martino F, et al. Neuroimage. 2007 Jan 1;34(1):177-94. doi: 10.1016/j.neuroimage.2006.08.041. Epub 2006 Oct 27. Neuroimage. 2007. PMID: 17070708

3

Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis.

Smolders A, De Martino F, Staeren N, Scheunders P, Sijbers J, Goebel R, Formisano E. Smolders A, et al. Among authors: de martino f. Magn Reson Imaging. 2007 Jul;25(6):860-8. doi: 10.1016/j.mri.2007.02.018. Epub 2007 May 4. Magn Reson Imaging. 2007. PMID: 17482412

4

Independent component analysis of interictal fMRI in focal epilepsy: comparison with general linear model-based EEG-correlated fMRI.

Rodionov R, De Martino F, Laufs H, Carmichael DW, Formisano E, Walker M, Duncan JS, Lemieux L. Rodionov R, et al. Among authors: de martino f. Neuroimage. 2007 Nov 15;38(3):488-500. doi: 10.1016/j.neuroimage.2007.08.003. Epub 2007 Aug 17. Neuroimage. 2007. PMID: 17889566

5

Multivariate analysis of fMRI time series: classification and regression of brain responses using machine learning.

Formisano E, De Martino F, Valente G. Formisano E, et al. Among authors: de martino f. Magn Reson Imaging. 2008 Sep;26(7):921-34. doi: 10.1016/j.mri.2008.01.052. Epub 2008 May 27. Magn Reson Imaging. 2008. PMID: 18508219

6

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.

De Martino F, Valente G, Staeren N, Ashburner J, Goebel R, Formisano E. De Martino F, et al. Neuroimage. 2008 Oct 15;43(1):44-58. doi: 10.1016/j.neuroimage.2008.06.037. Epub 2008 Jul 11. Neuroimage. 2008. PMID: 18672070

7

Dynamic premotor-to-parietal interactions during spatial imagery.

Sack AT, Jacobs C, De Martino F, Staeren N, Goebel R, Formisano E. Sack AT, et al. Among authors: de martino f. J Neurosci. 2008 Aug 20;28(34):8417-29. doi: 10.1523/JNEUROSCI.2656-08.2008. J Neurosci. 2008. PMID: 18716200 Free PMC article.

8

"Who" is saying "what"? Brain-based decoding of human voice and speech.

Formisano E, De Martino F, Bonte M, Goebel R. Formisano E, et al. Among authors: de martino f. Science. 2008 Nov 7;322(5903):970-3. doi: 10.1126/science.1164318. Science. 2008. PMID: 18988858

9

Sound categories are represented as distributed patterns in the human auditory cortex.

Staeren N, Renvall H, De Martino F, Goebel R, Formisano E. Staeren N, et al. Among authors: de martino f. Curr Biol. 2009 Mar 24;19(6):498-502. doi: 10.1016/j.cub.2009.01.066. Epub 2009 Mar 5. Curr Biol. 2009. PMID: 19268594 Free article.

10

Optimizing ICA in fMRI using information on spatial regularities of the sources.

Valente G, De Martino F, Filosa G, Balsi M, Formisano E. Valente G, et al. Among authors: de martino f. Magn Reson Imaging. 2009 Oct;27(8):1110-9. doi: 10.1016/j.mri.2009.05.036. Epub 2009 Jun 30. Magn Reson Imaging. 2009. PMID: 19570634

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