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Mainak Jas
Mainak Jas
Massachussets General Hospital
Verifisert e-postadresse på mgh.harvard.edu - Startside
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MEG and EEG data analysis with MNE-Python
A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ...
Frontiers in neuroscience 7, 267, 2013
33832013
Autoreject: Automated artifact rejection for MEG and EEG data
M Jas, DA Engemann, Y Bekhti, F Raimondo, A Gramfort
NeuroImage 159, 417-429, 2017
4832017
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
1552018
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), 102, 2019
1432019
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
1262018
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
1092019
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
1042020
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
812013
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
702019
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
682016
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
64*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
622017
Image specificity
M Jas, D Parikh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
512015
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
502019
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
352020
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
332019
Synchronization patterns reveal neuronal coding of working memory content
F Mamashli, S Khan, M Hämäläinen, M Jas, T Raij, SM Stufflebeam, ...
Cell reports 36 (8), 2021
282021
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
282013
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
262019
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 (Stamlins 2015), 2015
242015
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Artikler 1–20