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Items: 6

1.

A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices.

Jas M, Larson E, Engemann DA, Leppäkangas J, Taulu S, Hämäläinen M, Gramfort A.

Front Neurosci. 2018 Aug 6;12:530. doi: 10.3389/fnins.2018.00530. eCollection 2018.

2.

MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.

Niso G, Gorgolewski KJ, Bock E, Brooks TL, Flandin G, Gramfort A, Henson RN, Jas M, Litvak V, T Moreau J, Oostenveld R, Schoffelen JM, Tadel F, Wexler J, Baillet S.

Sci Data. 2018 Jun 19;5:180110. doi: 10.1038/sdata.2018.110.

3.

Autoreject: Automated artifact rejection for MEG and EEG data.

Jas M, Engemann DA, Bekhti Y, Raimondo F, Gramfort A.

Neuroimage. 2017 Oct 1;159:417-429. doi: 10.1016/j.neuroimage.2017.06.030. Epub 2017 Jun 20.

PMID:
28645840
4.

MEG and EEG data analysis with MNE-Python.

Gramfort A, Luessi M, Larson E, Engemann DA, Strohmeier D, Brodbeck C, Goj R, Jas M, Brooks T, Parkkonen L, Hämäläinen M.

Front Neurosci. 2013 Dec 26;7:267. doi: 10.3389/fnins.2013.00267. eCollection 2013 Dec 26.

5.

Feature-specific information processing precedes concerted activation in human visual cortex.

Ramkumar P, Jas M, Pannasch S, Hari R, Parkkonen L.

J Neurosci. 2013 May 1;33(18):7691-9. doi: 10.1523/JNEUROSCI.3905-12.2013.

6.

A heuristic approach to automated nipple detection in digital mammograms.

Jas M, Mukhopadhyay S, Chakraborty J, Sadhu A, Khandelwal N.

J Digit Imaging. 2013 Oct;26(5):932-40. doi: 10.1007/s10278-013-9575-x.

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