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Items: 35

1.

Optimization of classification and regression analysis of four monoclonal antibodies from Raman spectra using collaborative machine learning approach.

Le LMM, Kégl B, Gramfort A, Marini C, Nguyen D, Cherti M, Tfaili S, Tfayli A, Baillet-Guffroy A, Prognon P, Chaminade P, Caudron E.

Talanta. 2018 Jul 1;184:260-265. doi: 10.1016/j.talanta.2018.02.109. Epub 2018 Mar 8.

PMID:
29674041
2.

A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series.

Chambon S, Galtier MN, Arnal PJ, Wainrib G, Gramfort A.

IEEE Trans Neural Syst Rehabil Eng. 2018 Apr;26(4):758-769. doi: 10.1109/TNSRE.2018.2813138.

PMID:
29641380
3.

Non-linear auto-regressive models for cross-frequency coupling in neural time series.

Dupré la Tour T, Tallot L, Grabot L, Doyère V, van Wassenhove V, Grenier Y, Gramfort A.

PLoS Comput Biol. 2017 Dec 11;13(12):e1005893. doi: 10.1371/journal.pcbi.1005893. eCollection 2017 Dec.

4.

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
5.

Seeing it all: Convolutional network layers map the function of the human visual system.

Eickenberg M, Gramfort A, Varoquaux G, Thirion B.

Neuroimage. 2017 May 15;152:184-194. doi: 10.1016/j.neuroimage.2016.10.001. Epub 2016 Oct 21.

PMID:
27777172
6.

The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction.

Strohmeier D, Bekhti Y, Haueisen J, Gramfort A.

IEEE Trans Med Imaging. 2016 Oct;35(10):2218-2228. Epub 2016 Apr 13.

7.

Fast Optimal Transport Averaging of Neuroimaging Data.

Gramfort A, Peyré G, Cuturi M.

Inf Process Med Imaging. 2015;24:261-72.

PMID:
26221679
8.

Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals.

Engemann DA, Gramfort A.

Neuroimage. 2015 Mar;108:328-42. doi: 10.1016/j.neuroimage.2014.12.040. Epub 2014 Dec 23.

PMID:
25541187
9.

Spatiotemporal Signatures of Lexical-Semantic Prediction.

Lau EF, Weber K, Gramfort A, Hämäläinen MS, Kuperberg GR.

Cereb Cortex. 2016 Apr;26(4):1377-87. doi: 10.1093/cercor/bhu219. Epub 2014 Oct 14.

10.

Data-driven HRF estimation for encoding and decoding models.

Pedregosa F, Eickenberg M, Ciuciu P, Thirion B, Gramfort A.

Neuroimage. 2015 Jan 1;104:209-20. doi: 10.1016/j.neuroimage.2014.09.060. Epub 2014 Oct 7.

PMID:
25304775
11.

Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state.

Sitt JD, King JR, El Karoui I, Rohaut B, Faugeras F, Gramfort A, Cohen L, Sigman M, Dehaene S, Naccache L.

Brain. 2014 Aug;137(Pt 8):2258-70. doi: 10.1093/brain/awu141. Epub 2014 Jun 11.

12.

Machine learning for neuroimaging with scikit-learn.

Abraham A, Pedregosa F, Eickenberg M, Gervais P, Mueller A, Kossaifi J, Gramfort A, Thirion B, Varoquaux G.

Front Neuroinform. 2014 Feb 21;8:14. doi: 10.3389/fninf.2014.00014. eCollection 2014.

13.

Supramodal processing optimizes visual perceptual learning and plasticity.

Zilber N, Ciuciu P, Gramfort A, Azizi L, van Wassenhove V.

Neuroimage. 2014 Jun;93 Pt 1:32-46. doi: 10.1016/j.neuroimage.2014.02.017. Epub 2014 Feb 22.

14.

Encoding of event timing in the phase of neural oscillations.

Kösem A, Gramfort A, van Wassenhove V.

Neuroimage. 2014 May 15;92:274-84. doi: 10.1016/j.neuroimage.2014.02.010. Epub 2014 Feb 13.

PMID:
24531044
15.

Two distinct dynamic modes subtend the detection of unexpected sounds.

King JR, Gramfort A, Schurger A, Naccache L, Dehaene S.

PLoS One. 2014 Jan 27;9(1):e85791. doi: 10.1371/journal.pone.0085791. eCollection 2014.

16.

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.

17.

MNE software for processing MEG and EEG data.

Gramfort A, Luessi M, Larson E, Engemann DA, Strohmeier D, Brodbeck C, Parkkonen L, Hämäläinen MS.

Neuroimage. 2014 Feb 1;86:446-60. doi: 10.1016/j.neuroimage.2013.10.027. Epub 2013 Oct 24.

18.

Automatic semantic facilitation in anterior temporal cortex revealed through multimodal neuroimaging.

Lau EF, Gramfort A, Hämäläinen MS, Kuperberg GR.

J Neurosci. 2013 Oct 23;33(43):17174-81. doi: 10.1523/JNEUROSCI.1018-13.2013.

19.

Denoising and fast diffusion imaging with physically constrained sparse dictionary learning.

Gramfort A, Poupon C, Descoteaux M.

Med Image Anal. 2014 Jan;18(1):36-49. doi: 10.1016/j.media.2013.08.006. Epub 2013 Sep 10.

PMID:
24084469
20.

Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness.

King JR, Faugeras F, Gramfort A, Schurger A, El Karoui I, Sitt JD, Rohaut B, Wacongne C, Labyt E, Bekinschtein T, Cohen L, Naccache L, Dehaene S.

Neuroimage. 2013 Dec;83:726-38. doi: 10.1016/j.neuroimage.2013.07.013. Epub 2013 Jul 13.

21.

Local and long-range functional connectivity is reduced in concert in autism spectrum disorders.

Khan S, Gramfort A, Shetty NR, Kitzbichler MG, Ganesan S, Moran JM, Lee SM, Gabrieli JD, Tager-Flusberg HB, Joseph RM, Herbert MR, Hämäläinen MS, Kenet T.

Proc Natl Acad Sci U S A. 2013 Feb 19;110(8):3107-12. doi: 10.1073/pnas.1214533110. Epub 2013 Jan 14.

22.

Time-frequency mixed-norm estimates: sparse M/EEG imaging with non-stationary source activations.

Gramfort A, Strohmeier D, Haueisen J, Hämäläinen MS, Kowalski M.

Neuroimage. 2013 Apr 15;70:410-22. doi: 10.1016/j.neuroimage.2012.12.051. Epub 2013 Jan 4.

23.

Sparse DSI: learning DSI structure for denoising and fast imaging.

Gramfort A, Poupon C, Descoteaux M.

Med Image Comput Comput Assist Interv. 2012;15(Pt 2):288-96.

PMID:
23286060
24.

Learning from M/EEG data with variable brain activation delays.

Zaremba W, Kumar MP, Gramfort A, Blaschko MB.

Inf Process Med Imaging. 2013;23:414-25.

PMID:
24683987
25.

Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods.

Gramfort A, Kowalski M, Hämäläinen M.

Phys Med Biol. 2012 Apr 7;57(7):1937-61. doi: 10.1088/0031-9155/57/7/1937. Epub 2012 Mar 16.

26.

Markov models for fMRI correlation structure: Is brain functional connectivity small world, or decomposable into networks?

Varoquaux G, Gramfort A, Poline JB, Thirion B.

J Physiol Paris. 2012 Sep-Dec;106(5-6):212-21. doi: 10.1016/j.jphysparis.2012.01.001. Epub 2012 Feb 3.

PMID:
22326672
27.

Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries.

Gramfort A, Strohmeier D, Haueisen J, Hamalainen M, Kowalski M.

Inf Process Med Imaging. 2011;22:600-11.

PMID:
21761689
28.

Multi-subject dictionary learning to segment an atlas of brain spontaneous activity.

Varoquaux G, Gramfort A, Pedregosa F, Michel V, Thirion B.

Inf Process Med Imaging. 2011;22:562-73.

PMID:
21761686
29.

Forward field computation with OpenMEEG.

Gramfort A, Papadopoulo T, Olivi E, Clerc M.

Comput Intell Neurosci. 2011;2011:923703. doi: 10.1155/2011/923703. Epub 2011 Mar 14.

30.

Total variation regularization for fMRI-based prediction of behavior.

Michel V, Gramfort A, Varoquaux G, Eger E, Thirion B.

IEEE Trans Med Imaging. 2011 Jul;30(7):1328-40. doi: 10.1109/TMI.2011.2113378. Epub 2011 Feb 10.

31.

Phase delays within visual cortex shape the response to steady-state visual stimulation.

Cottereau B, Lorenceau J, Gramfort A, Clerc M, Thirion B, Baillet S.

Neuroimage. 2011 Feb 1;54(3):1919-29. doi: 10.1016/j.neuroimage.2010.10.004. Epub 2010 Oct 21.

PMID:
20937397
32.

Tracking cortical activity from M/EEG using graph cuts with spatiotemporal constraints.

Gramfort A, Papadopoulo T, Baillet S, Clerc M.

Neuroimage. 2011 Feb 1;54(3):1930-41. doi: 10.1016/j.neuroimage.2010.09.087. Epub 2010 Oct 7.

PMID:
20933090
33.

OpenMEEG: opensource software for quasistatic bioelectromagnetics.

Gramfort A, Papadopoulo T, Olivi E, Clerc M.

Biomed Eng Online. 2010 Sep 6;9:45. doi: 10.1186/1475-925X-9-45.

34.

Graph-based variability estimation in single-trial event-related neural responses.

Gramfort A, Keriven R, Clerc M.

IEEE Trans Biomed Eng. 2010 May;57(5):1051-61. doi: 10.1109/TBME.2009.2037139. Epub 2010 Feb 5.

PMID:
20142163
35.

Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps.

Gramfort A, Cottereau B, Clerc M, Thirion B, Baillet S.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:4945-8.

PMID:
18003116

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