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17 followers · 24 following

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Achievement: Pair Extraordinairex3Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor
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Achievements

Achievement: Pair Extraordinairex3Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor
BetaSend feedback

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@mind-inria
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paquiteau/README.md

Hello there 👋,

I am Pierre-Antoine Comby, a.k.a @paquiteau

I am PhD Student at Neurospin, working on Deep Learning methods for reconstruction of functional MRI images.

Currently I am working on:

  • Variational Reconstruction Method for functional MRI
  • Patch-based denoising methods
  • Preprocessing of fMRI data
  • All of this mostly using, Python, Emacs and Archbtw

If you are really interested by me:

Pinned

  1. mind-inria/mri-nufft mind-inria/mri-nufft Public

    Doing non-Cartesian MR Imaging has never been so easy.

    Python 29 5

  2. patch-denoising patch-denoising Public

    Patch based denoising method, targeting fMRI thermal noise removal.

    Python 14 1

  3. pysap-fmri pysap-fmri Public

    Python Sparse data Analysis Package external fMRI plugin.

    Python 2 1

  4. hydra-callbacks hydra-callbacks Public

    A collection of usefull hydra callbacks

    Python 7

  5. brainweb-dl brainweb-dl Public

    Brainweb Dataset downloader

    Python 5 1

  6. snake-fmri snake-fmri Public

    Simulator for fMRI data

    Python 4 1