| MEG and EEG data analysis with MNE-Python A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Frontiers in neuroscience 7, 267, 2013 | 775 | 2013 |
| Autoreject: Automated artifact rejection for MEG and EEG data M Jas, DA Engemann, Y Bekhti, F Raimondo, A Gramfort NeuroImage 159, 417-429, 2017 | 83 | 2017 |
| Feature-specific information processing precedes concerted activation in human visual cortex P Ramkumar, M Jas, S Pannasch, R Hari, L Parkkonen Journal of Neuroscience 33 (18), 7691-7699, 2013 | 53 | 2013 |
| Image specificity M Jas, D Parikh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 43 | 2015 |
| MEG-BIDS, the brain imaging data structure extended to magnetoencephalography G Niso, KJ Gorgolewski, E Bock, TL Brooks, G Flandin, A Gramfort, ... Scientific data 5 (1), 1-5, 2018 | 36 | 2018 |
| A reproducible MEG/EEG group study with the MNE software: recommendations, quality assessments, and good practices M Jas, E Larson, DA Engemann, J Leppäkangas, S Taulu, M Hämäläinen, ... Frontiers in neuroscience 12, 530, 2018 | 32 | 2018 |
| Learning the morphology of brain signals using alpha-stable convolutional sparse coding M Jas, TD La Tour, U Simsekli, A Gramfort Advances in Neural Information Processing Systems, 1099-1108, 2017 | 30 | 2017 |
| iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology C Holdgraf, S Appelhoff, S Bickel, K Bouchard, S D’Ambrosio, O David, ... Scientific data 6 (1), 1-6, 2019 | 27* | 2019 |
| A heuristic approach to automated nipple detection in digital mammograms M Jas, S Mukhopadhyay, J Chakraborty, A Sadhu, N Khandelwal Journal of digital imaging 26 (5), 932-940, 2013 | 21 | 2013 |
| Multivariate convolutional sparse coding for electromagnetic brain signals TD La Tour, T Moreau, M Jas, A Gramfort Advances in Neural Information Processing Systems, 3292-3302, 2018 | 20 | 2018 |
| Visbrain: A multi-purpose GPU-accelerated open-source suite for multimodal brain data visualization E Combrisson, R Vallat, C O'Reilly, M Jas, A Pascarella, A Saive, T Thiery, ... Frontiers in Neuroinformatics 13, 14, 2019 | 18 | 2019 |
| Automated measurement and prediction of consciousness in vegetative and minimally conscious patients D Engemann, F Raimondo, JR King, M Jas, A Gramfort, S Dehaene, ... ICML workshop on statistics, machine learning and neuroscience, 2015 | 15 | 2015 |
| Human Neocortical Neurosolver (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data SA Neymotin, DS Daniels, B Caldwell, RA McDougal, NT Carnevale, ... Elife 9, e51214, 2020 | 13 | 2020 |
| Automated rejection and repair of bad trials in MEG/EEG M Jas, D Engemann, F Raimondo, Y Bekhti, A Gramfort 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016 | 10 | 2016 |
| Mammogram segmentation using multi-atlas deformable registration MK Sharma, M Jas, V Karale, A Sadhu, S Mukhopadhyay Computers in biology and medicine 110, 244-253, 2019 | 6 | 2019 |
| Visualizing Armed Groups: The Democratic Republic of the Congo’s M23 in Focus C Nangini, M Jas, H Fernandes, R Muggah Stability: International Journal of Security and Development 3 (1), 2014 | 6 | 2014 |
| NeuroPycon: An open-source Python toolbox for fast multi-modal and reproducible brain connectivity pipelines D Meunier, A Pascarella, D Altukhov, M Jas, E Combrisson, T Lajnef, ... NeuroImage 219, 117020, 2020 | 5 | 2020 |
| MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis S Appelhoff, M Sanderson, T Brooks, M Vliet, C Quentin, R., Holdgraf, ... The Journal of Open Source Software 4 (44), 1896, 2019 | 5 | 2019 |
| PyBIDS: Python tools for BIDS datasets T Yarkoni, CJ Markiewicz, A de la Vega, KJ Gorgolewski, T Salo, ... Journal of open source software 4 (40), 2019 | 3 | 2019 |
| MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data L Esch, C Dinh, E Larson, D Engemann, M Jas, S Khan, A Gramfort, ... Magnetoencephalography: From Signals to Dynamic Cortical Networks, 355-371, 2019 | 3 | 2019 |
Alexandre GramfortINRIA, Univ. Paris-Saclay在 inria.fr 的电子邮件经过验证
