| Year |
Citation |
Score |
| 2023 |
Poldrack RA, Markiewicz CJ, Appelhoff S, Ashar YK, Auer T, Baillet S, Bansal S, Beltrachini L, Benar CG, Bertazzoli G, Bhogawar S, Blair RW, Bortoletto M, Boudreau M, Brooks TL, ... ... Gramfort A, et al. The Past, Present, and Future of the Brain Imaging Data Structure (BIDS). Arxiv. PMID 37744469 |
0.643 |
|
| 2020 |
Pernet C, Garrido MI, Gramfort A, Maurits N, Michel CM, Pang E, Salmelin R, Schoffelen JM, Valdes-Sosa PA, Puce A. Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research. Nature Neuroscience. PMID 32958924 DOI: 10.1038/S41593-020-00709-0 |
0.397 |
|
| 2020 |
Sabbagh D, Ablin P, Varoquaux G, Gramfort A, Engemann DA. Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states. Neuroimage. 222: 116893. PMID 32439535 DOI: 10.1016/J.Neuroimage.2020.116893 |
0.42 |
|
| 2020 |
Janati H, Bazeille T, Thirion B, Cuturi M, Gramfort A. Multi-subject MEG/EEG source imaging with sparse multi-task regression. Neuroimage. 220: 116847. PMID 32438046 DOI: 10.1016/J.Neuroimage.2020.116847 |
0.375 |
|
| 2020 |
Engemann DA, Kozynets O, Sabbagh D, Lemaître G, Varoquaux G, Liem F, Gramfort A. Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers. Elife. 9. PMID 32423528 DOI: 10.7554/Elife.54055 |
0.448 |
|
| 2020 |
Jaiswal A, Nenonen J, Stenroos M, Gramfort A, Dalal SS, Westner BU, Litvak V, Mosher JC, Schoffelen JM, Witton C, Oostenveld R, Parkkonen L. Comparison of beamformer implementations for MEG source localization. Neuroimage. 116797. PMID 32278091 DOI: 10.1016/J.Neuroimage.2020.116797 |
0.377 |
|
| 2019 |
Appelhoff S, Sanderson M, Brooks TL, van Vliet M, Quentin R, Holdgraf C, Chaumon M, Mikulan E, Tavabi K, Höchenberger R, Welke D, Brunner C, Rockhill AP, Larson E, Gramfort A, et al. MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software. 4. PMID 35990374 DOI: 10.21105/joss.01896 |
0.643 |
|
| 2019 |
Roy Y, Banville H, Albuquerque I, Gramfort A, Falk TH, Faubert J. Deep learning-based electroencephalography analysis: a systematic review. Journal of Neural Engineering. PMID 31151119 DOI: 10.1088/1741-2552/Ab260C |
0.416 |
|
| 2019 |
Grabot L, Kononowicz TW, Dupré la Tour T, Gramfort A, Doyère V, van Wassenhove V. The strength of alpha-beta oscillatory coupling predicts motor timing precision. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 30792271 DOI: 10.1523/Jneurosci.2473-18.2018 |
0.681 |
|
| 2019 |
Appelhoff S, Sanderson M, Brooks T, van Vliet M, Quentin R, Holdgraf C, Chaumon M, Mikulan E, Tavabi K, Höchenberger R, Welke D, Brunner C, Rockhill A, Larson E, Gramfort A, et al. MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis Journal of Open Source Software. 4: 1896. DOI: 10.21105/Joss.01896 |
0.634 |
|
| 2018 |
Kernbach JM, Yeo BTT, Smallwood J, Margulies DS, Thiebaut de Schotten M, Walter H, Sabuncu MR, Holmes AJ, Gramfort A, Varoquaux G, Thirion B, Bzdok D. Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants. Proceedings of the National Academy of Sciences of the United States of America. PMID 30420501 DOI: 10.1073/Pnas.1804876115 |
0.319 |
|
| 2018 |
Jas M, Larson E, Engemann DA, Leppäkangas J, Taulu S, Hämäläinen M, Gramfort A. A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices. Frontiers in Neuroscience. 12: 530. PMID 30127712 DOI: 10.3389/Fnins.2018.00530 |
0.344 |
|
| 2018 |
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. MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data. 5: 180110. PMID 29917016 DOI: 10.1038/Sdata.2018.110 |
0.678 |
|
| 2018 |
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. Optimization of classification and regression analysis of four monoclonal antibodies from Raman spectra using collaborative machine learning approach. Talanta. 184: 260-265. PMID 29674041 DOI: 10.1016/J.Talanta.2018.02.109 |
0.33 |
|
| 2018 |
Chambon S, Galtier MN, Arnal PJ, Wainrib G, Gramfort A. A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 26: 758-769. PMID 29641380 DOI: 10.1109/Tnsre.2018.2813138 |
0.32 |
|
| 2018 |
Ablin P, Cardoso J, Gramfort A. Faster Independent Component Analysis by Preconditioning With Hessian Approximations Ieee Transactions On Signal Processing. 66: 4040-4049. DOI: 10.1109/Tsp.2018.2844203 |
0.365 |
|
| 2018 |
Bekhti Y, Lucka F, Salmon J, Gramfort A. A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging Inverse Problems. 34: 85010. DOI: 10.1088/1361-6420/Aac9B3 |
0.374 |
|
| 2017 |
Dupré la Tour T, Tallot L, Grabot L, Doyère V, van Wassenhove V, Grenier Y, Gramfort A. Non-linear auto-regressive models for cross-frequency coupling in neural time series. Plos Computational Biology. 13: e1005893. PMID 29227989 DOI: 10.1371/Journal.Pcbi.1005893 |
0.639 |
|
| 2017 |
Jas M, Engemann DA, Bekhti Y, Raimondo F, Gramfort A. Autoreject: Automated artifact rejection for MEG and EEG data. Neuroimage. 159: 417-429. PMID 28645840 DOI: 10.1016/J.Neuroimage.2017.06.030 |
0.348 |
|
| 2017 |
Eickenberg M, Gramfort A, Varoquaux G, Thirion B. Seeing it all: Convolutional network layers map the function of the human visual system. Neuroimage. 152: 184-194. PMID 27777172 DOI: 10.1016/J.Neuroimage.2016.10.001 |
0.357 |
|
| 2017 |
Ndiaye E, Fercoq O, Gramfort A, Leclère V, Salmon J. Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression Arxiv: Machine Learning. 904: 12006. DOI: 10.1088/1742-6596/904/1/012006 |
0.331 |
|
| 2016 |
Strohmeier D, Bekhti Y, Haueisen J, Gramfort A. The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction. Ieee Transactions On Medical Imaging. PMID 27093548 DOI: 10.1109/Tmi.2016.2553445 |
0.409 |
|
| 2015 |
Engemann DA, Gramfort A. Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals. Neuroimage. 108: 328-42. PMID 25541187 DOI: 10.1016/J.Neuroimage.2014.12.040 |
0.416 |
|
| 2015 |
Pedregosa F, Eickenberg M, Ciuciu P, Thirion B, Gramfort A. Data-driven HRF estimation for encoding and decoding models. Neuroimage. 104: 209-20. PMID 25304775 DOI: 10.1016/J.Neuroimage.2014.09.060 |
0.421 |
|
| 2014 |
Lau EF, Weber K, Gramfort A, Hämäläinen MS, Kuperberg GR. Spatiotemporal Signatures of Lexical-Semantic Prediction. Cerebral Cortex (New York, N.Y. : 1991). PMID 25316341 DOI: 10.1093/Cercor/Bhu219 |
0.322 |
|
| 2014 |
Sitt JD, King JR, El Karoui I, Rohaut B, Faugeras F, Gramfort A, Cohen L, Sigman M, Dehaene S, Naccache L. Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state. Brain : a Journal of Neurology. 137: 2258-70. PMID 24919971 DOI: 10.1093/Brain/Awu141 |
0.307 |
|
| 2014 |
Abraham A, Pedregosa F, Eickenberg M, Gervais P, Mueller A, Kossaifi J, Gramfort A, Thirion B, Varoquaux G. Machine learning for neuroimaging with scikit-learn. Frontiers in Neuroinformatics. 8: 14. PMID 24600388 DOI: 10.3389/Fninf.2014.00014 |
0.327 |
|
| 2014 |
Kösem A, Gramfort A, van Wassenhove V. Encoding of event timing in the phase of neural oscillations. Neuroimage. 92: 274-84. PMID 24531044 DOI: 10.1016/J.Neuroimage.2014.02.010 |
0.374 |
|
| 2014 |
King JR, Gramfort A, Schurger A, Naccache L, Dehaene S. Two distinct dynamic modes subtend the detection of unexpected sounds. Plos One. 9: e85791. PMID 24475052 DOI: 10.1371/Journal.Pone.0085791 |
0.381 |
|
| 2014 |
Gramfort A, Luessi M, Larson E, Engemann DA, Strohmeier D, Brodbeck C, Parkkonen L, Hämäläinen MS. MNE software for processing MEG and EEG data. Neuroimage. 86: 446-60. PMID 24161808 DOI: 10.1016/J.Neuroimage.2013.10.027 |
0.45 |
|
| 2014 |
Gramfort A, Poupon C, Descoteaux M. Denoising and fast diffusion imaging with physically constrained sparse dictionary learning. Medical Image Analysis. 18: 36-49. PMID 24084469 DOI: 10.1016/J.Media.2013.08.006 |
0.334 |
|
| 2014 |
Moussallam M, Gramfort A, Daudet L, Richard G. Blind denoising with random greedy pursuits Ieee Signal Processing Letters. 21: 1341-1345. DOI: 10.1109/Lsp.2014.2334231 |
0.322 |
|
| 2013 |
Zaremba W, Kumar MP, Gramfort A, Blaschko MB. Learning from M/EEG data with variable brain activation delays. Information Processing in Medical Imaging : Proceedings of the ... Conference. 23: 414-25. PMID 24683987 DOI: 10.1007/978-3-642-38868-2_35 |
0.318 |
|
| 2013 |
Gramfort A, Luessi M, Larson E, Engemann DA, Strohmeier D, Brodbeck C, Goj R, Jas M, Brooks T, Parkkonen L, Hämäläinen M. MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience. 7: 267. PMID 24431986 DOI: 10.3389/Fnins.2013.00267 |
0.694 |
|
| 2013 |
Lau EF, Gramfort A, Hämäläinen MS, Kuperberg GR. Automatic semantic facilitation in anterior temporal cortex revealed through multimodal neuroimaging. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 17174-81. PMID 24155321 DOI: 10.1523/Jneurosci.1018-13.2013 |
0.318 |
|
| 2013 |
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. Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness. Neuroimage. 83: 726-38. PMID 23859924 DOI: 10.1016/J.Neuroimage.2013.07.013 |
0.319 |
|
| 2013 |
Gramfort A, Strohmeier D, Haueisen J, Hämäläinen MS, Kowalski M. Time-frequency mixed-norm estimates: sparse M/EEG imaging with non-stationary source activations. Neuroimage. 70: 410-22. PMID 23291276 DOI: 10.1016/J.Neuroimage.2012.12.051 |
0.45 |
|
| 2012 |
Gramfort A, Kowalski M, Hämäläinen M. Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods. Physics in Medicine and Biology. 57: 1937-61. PMID 22421459 DOI: 10.1088/0031-9155/57/7/1937 |
0.365 |
|
| 2012 |
Varoquaux G, Gramfort A, Poline JB, Thirion B. Markov models for fMRI correlation structure: Is brain functional connectivity small world, or decomposable into networks? Journal of Physiology, Paris. 106: 212-21. PMID 22326672 DOI: 10.1016/J.Jphysparis.2012.01.001 |
0.367 |
|
| 2012 |
Strohmeier D, Kowalski M, Haueisen J, Hämäläinen M, Gramfort A. MEG/EEG single trial source estimates based on inter-trial priors in the time-frequency domain for source connectivity analysis Biomedizinische Technik. 57: 391-391. DOI: 10.1515/Bmt-2012-4461 |
0.317 |
|
| 2012 |
Jenatton R, Gramfort A, Michel V, Obozinski G, Eger E, Bach F, Thirion B. Multiscale mining of fMRI data with hierarchical structured sparsity Siam Journal On Imaging Sciences. 5: 835-856. DOI: 10.1137/110832380 |
0.421 |
|
| 2012 |
Michel V, Gramfort A, Varoquaux G, Eger E, Keribin C, Thirion B. A supervised clustering approach for fMRI-based inference of brain states Pattern Recognition. 45: 2041-2049. DOI: 10.1016/J.Patcog.2011.04.006 |
0.405 |
|
| 2011 |
Gramfort A, Strohmeier D, Haueisen J, Hamalainen M, Kowalski M. Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries. Information Processing in Medical Imaging : Proceedings of the ... Conference. 22: 600-11. PMID 21761689 DOI: 10.1007/978-3-642-22092-0_49 |
0.346 |
|
| 2011 |
Michel V, Gramfort A, Varoquaux G, Eger E, Thirion B. Total variation regularization for fMRI-based prediction of behavior. Ieee Transactions On Medical Imaging. 30: 1328-40. PMID 21317080 DOI: 10.1109/Tmi.2011.2113378 |
0.436 |
|
| 2011 |
Cottereau B, Lorenceau J, Gramfort A, Clerc M, Thirion B, Baillet S. Phase delays within visual cortex shape the response to steady-state visual stimulation. Neuroimage. 54: 1919-29. PMID 20937397 DOI: 10.1016/J.Neuroimage.2010.10.004 |
0.303 |
|
| 2011 |
Gramfort A, Papadopoulo T, Baillet S, Clerc M. Tracking cortical activity from M/EEG using graph cuts with spatiotemporal constraints. Neuroimage. 54: 1930-41. PMID 20933090 DOI: 10.1016/J.Neuroimage.2010.09.087 |
0.354 |
|
| 2011 |
Strohmeier D, Gramfort A, Haueisen J, Hämäläinen MS, Kowalski M. MEG/EEG source localization based on structured sparsity in the time-frequency domain Biomedizinische Technik. 6. DOI: 10.22032/Dbt.40015 |
0.314 |
|
| 2010 |
Gramfort A, Keriven R, Clerc M. Graph-based variability estimation in single-trial event-related neural responses. Ieee Transactions On Bio-Medical Engineering. 57: 1051-61. PMID 20142163 DOI: 10.1109/Tbme.2009.2037139 |
0.374 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2010 |
Gramfort A, Papadopoulo T, Olivi E, Clerc M. OpenMEEG: opensource software for quasistatic bioelectromagnetics. Biomedical Engineering Online. 9: 45. PMID 20819204 DOI: 10.1186/1475-925X-9-45 |
0.292 |
|
| 2024 |
Tolley N, Rodrigues PLC, Gramfort A, Jones SR. Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference. Plos Computational Biology. 20: e1011108. PMID 38408099 DOI: 10.1371/journal.pcbi.1011108 |
0.292 |
|
| 2023 |
Tolley N, Rodrigues PLC, Gramfort A, Jones S. Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference. Biorxiv : the Preprint Server For Biology. PMID 37131818 DOI: 10.1101/2023.04.17.537118 |
0.292 |
|
| 2011 |
Gramfort A, Papadopoulo T, Olivi E, Clerc M. Forward field computation with OpenMEEG. Computational Intelligence and Neuroscience. 2011: 923703. PMID 21437231 DOI: 10.1155/2011/923703 |
0.289 |
|
| 2011 |
Varoquaux G, Gramfort A, Pedregosa F, Michel V, Thirion B. Multi-subject dictionary learning to segment an atlas of brain spontaneous activity. Information Processing in Medical Imaging : Proceedings of the ... Conference. 22: 562-73. PMID 21761686 DOI: 10.1007/978-3-642-22092-0_46 |
0.28 |
|
| 2022 |
Engemann DA, Mellot A, Höchenberger R, Banville H, Sabbagh D, Gemein L, Ball T, Gramfort A. A reusable benchmark of brain-age prediction from M/EEG resting-state signals. Neuroimage. 119521. PMID 35905809 DOI: 10.1016/j.neuroimage.2022.119521 |
0.279 |
|
| 2014 |
Zilber N, Ciuciu P, Gramfort A, Azizi L, van Wassenhove V. Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage. 93: 32-46. PMID 24565923 DOI: 10.1016/J.Neuroimage.2014.02.017 |
0.279 |
|
| 2013 |
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. Local and long-range functional connectivity is reduced in concert in autism spectrum disorders. Proceedings of the National Academy of Sciences of the United States of America. 110: 3107-12. PMID 23319621 DOI: 10.1073/Pnas.1214533110 |
0.279 |
|
| 2013 |
Zilber N, Ciuciu P, Gramfort A, Wassenhove Vv. Supramodal processing in visual learning and plasticity Multisensory Research. 26: 113-114. DOI: 10.1163/22134808-000S0083 |
0.279 |
|
| 2019 |
Chambon S, Thorey V, Arnal PJ, Mignot E, Gramfort A. DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal. Journal of Neuroscience Methods. 321: 64-78. PMID 30946878 DOI: 10.1016/J.Jneumeth.2019.03.017 |
0.277 |
|
| 2010 |
Clerc M, Gramfort A, Olivi E, Papadopoulo T. The symmetric BEM: bringing in more variables for better accuracy Frontiers in Neuroscience. 28: 109-112. DOI: 10.1007/978-3-642-12197-5_21 |
0.266 |
|
| 2022 |
Rommel C, Paillard J, Moreau T, Gramfort A. Data augmentation for learning predictive models on EEG: a systematic comparison. Journal of Neural Engineering. PMID 36368035 DOI: 10.1088/1741-2552/aca220 |
0.262 |
|
| 2023 |
Sabbagh D, Cartailler J, Touchard C, Joachim J, Mebazaa A, Vallée F, Gayat É, Gramfort A, Engemann DA. Repurposing electroencephalogram monitoring of general anaesthesia for building biomarkers of brain ageing: an exploratory study. Bja Open. 7: 100145. PMID 37638087 DOI: 10.1016/j.bjao.2023.100145 |
0.255 |
|
| 2020 |
Banville H, Chehab O, Hyvarinen A, Engemann D, Gramfort A. Uncovering the structure of clinical EEG signals with self-supervised learning. Journal of Neural Engineering. PMID 33181507 DOI: 10.1088/1741-2552/abca18 |
0.255 |
|
| 2020 |
Engemann DA, Kozynets O, Sabbagh D, Lemaître G, Varoquaux G, Liem F, Gramfort A. Author response: Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers Elife. DOI: 10.7554/Elife.54055.Sa2 |
0.251 |
|
| 2021 |
Westner BU, Dalal SS, Gramfort A, Litvak V, Mosher JC, Oostenveld R, Schoffelen JM. A unified view on beamformers for M/EEG source reconstruction. Neuroimage. 246: 118789. PMID 34890794 DOI: 10.1016/j.neuroimage.2021.118789 |
0.244 |
|
| 2012 |
Gramfort A, Poupon C, Descoteaux M. Sparse DSI: learning DSI structure for denoising and fast imaging. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 288-96. PMID 23286060 DOI: 10.1007/978-3-642-33418-4_36 |
0.241 |
|
| 2021 |
Ablin P, Cardoso JF, Gramfort A. Spectral Independent Component Analysis with noise modeling for M/EEG source separation. Journal of Neuroscience Methods. 356: 109144. PMID 33771653 DOI: 10.1016/j.jneumeth.2021.109144 |
0.233 |
|
| 2012 |
Sitnikova T, Gramfort A, Boyle RW, Cather C, Freudenreich O, Hämäläinen MS, Rosen BR, Goff DC. Poster #35 PREFRONTAL CORTEX AND GOAL-DIRECTED BEHAVIOR IN SCHIZOPHRENIA: NEURAL MECHANISMS UNDERLYING INFLEXIBILITY Schizophrenia Research. 136: S104. DOI: 10.1016/S0920-9964(12)70351-1 |
0.232 |
|
| 2020 |
Moreau T, Gramfort A. DiCoDiLe: Distributed Convolutional Dictionary Learning. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 33211653 DOI: 10.1109/TPAMI.2020.3039215 |
0.231 |
|
| 2022 |
Caucheteux C, Gramfort A, King JR. Deep language algorithms predict semantic comprehension from brain activity. Scientific Reports. 12: 16327. PMID 36175483 DOI: 10.1038/s41598-022-20460-9 |
0.226 |
|
| 2022 |
Banville H, Wood SUN, Aimone C, Engemann DA, Gramfort A. Robust learning from corrupted EEG with dynamic spatial filtering. Neuroimage. 251: 118994. PMID 35181552 DOI: 10.1016/j.neuroimage.2022.118994 |
0.222 |
|
| 2023 |
Caucheteux C, Gramfort A, King JR. Evidence of a predictive coding hierarchy in the human brain listening to speech. Nature Human Behaviour. 7: 430-441. PMID 36864133 DOI: 10.1038/s41562-022-01516-2 |
0.215 |
|
| 2010 |
Kowalski M, Gramfort A. A priori par normes mixtes pour les problèmes inverses: Application à la localisation de sources en M/EEG Traitement Du Signal. 27: 53-78. DOI: 10.3166/Traitement |
0.209 |
|
| 2022 |
Power L, Allain C, Moreau T, Gramfort A, Bardouille T. Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access dataset. Neuroimage. 267: 119809. PMID 36584759 DOI: 10.1016/j.neuroimage.2022.119809 |
0.2 |
|
| 2007 |
Gramfort A, Cottereau B, Clerc M, Thirion B, Baillet S. Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2007: 4945-8. PMID 18003116 DOI: 10.1109/IEMBS.2007.4353450 |
0.191 |
|
| 2022 |
Hebling Vieira B, Liem F, Dadi K, Engemann DA, Gramfort A, Bellec P, Craddock RC, Damoiseaux JS, Steele CJ, Yarkoni T, Langer N, Margulies DS, Varoquaux G. Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging. Neurobiology of Aging. 118: 55-65. PMID 35878565 DOI: 10.1016/j.neurobiolaging.2022.06.008 |
0.18 |
|
| 2020 |
Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, ... ... Gramfort A, et al. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. Npj Digital Medicine. 3: 109. PMID 32864472 DOI: 10.1038/s41746-020-00308-0 |
0.175 |
|
| 2022 |
Delorme A, Oostenveld R, Tadel F, Gramfort A, Nagarajan S, Litvak V. Editorial: From Raw MEG/EEG to Publication: How to Perform MEG/EEG Group Analysis With Free Academic Software. Frontiers in Neuroscience. 16: 854471. PMID 35495048 DOI: 10.3389/fnins.2022.854471 |
0.15 |
|
| 2022 |
Liew SL, Lo BP, Donnelly MR, Zavaliangos-Petropulu A, Jeong JN, Barisano G, Hutton A, Simon JP, Juliano JM, Suri A, Wang Z, Abdullah A, Kim J, Ard T, Banaj N, ... ... Gramfort A, et al. A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms. Scientific Data. 9: 320. PMID 35710678 DOI: 10.1038/s41597-022-01401-7 |
0.1 |
|
| 2021 |
Hoertel N, Sánchez-Rico M, Vernet R, Beeker N, Jannot AS, Neuraz A, Salamanca E, Paris N, Daniel C, Gramfort A, Lemaitre G, Bernaux M, Bellamine A, Lemogne C, Airagnes G, et al. Association between antidepressant use and reduced risk of intubation or death in hospitalized patients with COVID-19: results from an observational study. Molecular Psychiatry. PMID 33536545 DOI: 10.1038/s41380-021-01021-4 |
0.071 |
|
| 2022 |
Rockhill AP, Larson E, Stedelin B, Mantovani A, Raslan AM, Gramfort A, Swann NC. Intracranial Electrode Location and Analysis in MNE-Python. Journal of Open Source Software. 7. PMID 35992635 DOI: 10.21105/joss.03897 |
0.067 |
|
| 2021 |
Sánchez-Rico M, Limosin F, Vernet R, Beeker N, Neuraz A, Blanco C, Olfson M, Lemogne C, Meneton P, Daniel C, Paris N, Gramfort A, Lemaitre G, De La Muela P, Salamanca E, et al. Hydroxyzine Use and Mortality in Patients Hospitalized for COVID-19: A Multicenter Observational Study. Journal of Clinical Medicine. 10. PMID 34945186 DOI: 10.3390/jcm10245891 |
0.057 |
|
| 2021 |
Hoertel N, Sánchez-Rico M, Vernet R, Jannot AS, Neuraz A, Blanco C, Lemogne C, Airagnes G, Paris N, Daniel C, Gramfort A, Lemaitre G, Bernaux M, Bellamine A, Beeker N, et al. Observational study of haloperidol in hospitalized patients with COVID-19. Plos One. 16: e0247122. PMID 33606790 DOI: 10.1371/journal.pone.0247122 |
0.035 |
|
| 2021 |
Hoertel N, Sánchez-Rico M, Vernet R, Jannot AS, Neuraz A, Blanco C, Lemogne C, Airagnes G, Paris N, Daniel C, Gramfort A, Lemaitre G, Bernaux M, Bellamine A, Beeker N, et al. Observational Study of Chlorpromazine in Hospitalized Patients with COVID-19. Clinical Drug Investigation. PMID 33559821 DOI: 10.1007/s40261-021-01001-0 |
0.025 |
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| 2021 |
Hoertel N, Sánchez-Rico M, Vernet R, Beeker N, Neuraz A, Alvarado JM, Daniel C, Paris N, Gramfort A, Lemaitre G, Salamanca E, Bernaux M, Bellamine A, Burgun A, Limosin F. Dexamethasone use and Mortality in Hospitalized Patients with Coronavirus Disease 2019: a Multicenter Retrospective Observational Study. British Journal of Clinical Pharmacology. PMID 33608891 DOI: 10.1111/bcp.14784 |
0.014 |
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