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Mainak Jas
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2020 – today
- 2020
- [j8]Mainak Jas
, Titipat Achakulvisut
, Aid Idrizovic, Daniel E. Acuna
, Matthew Antalek, Vinícius Marques, Tommy Odland, Ravi Garg, Mayank Agrawal, Yu Umegaki, Peter Foley
, Hugo Fernandes
, Drew Harris, Beibin Li, Olivier Pieters
, Scott Otterson, Giovanni De Toni
, Chris C. Rodgers
, Eva L. Dyer, Matti Hamalainen, Konrad P. Körding, Pavan Ramkumar
:
Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. 5(47): 1959 (2020) - [j7]David Meunier
, Annalisa Pascarella
, Dmitrii Altukhov
, Mainak Jas, Etienne Combrisson, Tarek Lajnef
, Daphné Bertrand-Dubois, Vanessa Hadid
, Golnoush Alamian
, Jordan Alves, Fanny Barlaam, Anne-Lise Saive, Arthur Dehgan, Karim Jerbi:
NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines. NeuroImage 219: 117020 (2020)
2010 – 2019
- 2019
- [j6]Manish Kumar Sharma, Mainak Jas
, Vikrant Anilrao Karale, Anup K. Sadhu, Sudipta Mukhopadhyay
:
Mammogram segmentation using multi-atlas deformable registration. Comput. Biol. Medicine 110: 244-253 (2019) - [j5]Etienne Combrisson
, Raphael Vallat, Christian O'Reilly
, Mainak Jas
, Annalisa Pascarella
, Anne-Lise Saive, Thomas Thiery, David Meunier, Dmitrii Altukhov
, Tarek Lajnef, Perrine Ruby, Aymeric Guillot, Karim Jerbi:
Visbrain: A Multi-Purpose GPU-Accelerated Open-Source Suite for Multimodal Brain Data Visualization. Frontiers Neuroinformatics 13: 14 (2019) - [j4]Tal Yarkoni
, Christopher J. Markiewicz
, Alejandro de la Vega
, Krzysztof J. Gorgolewski
, Taylor Salo
, Yaroslav O. Halchenko
, Quinten McNamara, Krista Destasio
, Jean-Baptiste Poline
, Dmitry Petrov, Valérie Hayot-Sasson
, Dylan Nielson
, Johan D. Carlin
, Gregory Kiar
, Kirstie J. Whitaker
, Elizabeth Dupre
, Adina Wagner
, Lee S. Tirrell
, Mainak Jas
, Michael Hanke
, Russell A. Poldrack
, Oscar Esteban
, Stefan Appelhoff
, Chris Holdgraf
, Isla Staden
, Bertrand Thirion
, Dave F. Kleinschmidt
, John Lee
, Matteo di Castello
, Michael Notter
, Ross Blair
:
PyBIDS: Python tools for BIDS datasets. J. Open Source Softw. 4(40): 1294 (2019) - [j3]Stefan Appelhoff
, Matthew Sanderson
, Teon Brooks
, Marijn van Vliet
, Romain Quentin
, Chris Holdgraf
, Maximilien Chaumon
, Ezequiel Mikulan
, Kambiz Tavabi
, Richard Höchenberger
, Dominik Welke
, Clemens Brunner
, Alexander Rockhill
, Eric Larson
, Alexandre Gramfort
, Mainak Jas
:
MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. J. Open Source Softw. 4(44): 1896 (2019) - 2018
- [c5]Tom Dupré la Tour, Thomas Moreau, Mainak Jas, Alexandre Gramfort:
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals. NeurIPS 2018: 3296-3306 - [i2]Tom Dupré la Tour, Thomas Moreau
, Mainak Jas, Alexandre Gramfort:
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals. CoRR abs/1805.09654 (2018) - 2017
- [j2]Mainak Jas
, Denis A. Engemann
, Yousra Bekhti, Federico Raimondo
, Alexandre Gramfort
:
Autoreject: Automated artifact rejection for MEG and EEG data. NeuroImage 159: 417-429 (2017) - [c4]Mainak Jas, Tom Dupré la Tour, Umut Simsekli, Alexandre Gramfort:
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding. NIPS 2017: 1099-1108 - 2016
- [c3]Yousra Bekhti, Daniel Strohmeier, Mainak Jas
, Roland Badeau, Alexandre Gramfort
:
M/EEG source localization with multi-scale time-frequency dictionaries. PRNI 2016: 1-4 - [c2]Mainak Jas
, Denis A. Engemann
, Federico Raimondo
, Yousra Bekhti, Alexandre Gramfort
:
Automated rejection and repair of bad trials in MEG/EEG. PRNI 2016: 1-4 - 2015
- [c1]Mainak Jas
, Devi Parikh:
Image specificity. CVPR 2015: 2727-2736 - [i1]Mainak Jas, Devi Parikh:
Image Specificity. CoRR abs/1502.04569 (2015) - 2013
- [j1]Mainak Jas
, Sudipta Mukhopadhyay
, Jayasree Chakraborty
, Anup K. Sadhu, Niranjan Khandelwal:
A Heuristic Approach to Automated Nipple Detection in Digital Mammograms. J. Digit. Imaging 26(5): 932-940 (2013)
Coauthor Index

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last updated on 2023-03-26 01:43 CET by the dblp team
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