Mainak Jas

Orcid: 0000-0002-3199-9027

According to our database1, Mainak Jas authored at least 57 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
Dataset
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Links

Online presence:

On csauthors.net:

Bibliography

2023
bids-specification.
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Dataset, November, 2023






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NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines.
NeuroImage, 2020

Pyglmnet: Python implementation of elastic-net regularized generalized linear models.
J. Open Source Softw., 2020

2019











PyBIDS: Python tools for BIDS datasets.
J. Open Source Softw., 2019

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis.
J. Open Source Softw., 2019

Visbrain: A Multi-Purpose GPU-Accelerated Open-Source Suite for Multimodal Brain Data Visualization.
Frontiers Neuroinformatics, 2019

Mammogram segmentation using multi-atlas deformable registration.
Comput. Biol. Medicine, 2019

2018
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Autoreject: Automated artifact rejection for MEG and EEG data.
NeuroImage, 2017

Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Automated rejection and repair of bad trials in MEG/EEG.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

M/EEG source localization with multi-scale time-frequency dictionaries.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2015
Image specificity.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013
A Heuristic Approach to Automated Nipple Detection in Digital Mammograms.
J. Digit. Imaging, 2013


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