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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:

Pierre-Antoine Comby's Projects

auto-dark-emacs icon auto-dark-emacs

Auto-Dark-Emacs is an auto changer between 2 themes, dark/light, following MacOS, Linux or Windows Dark Mode settings

benchopt icon benchopt

Making your benchmark of optimization algorithms simple and open

deepinv icon deepinv

PyTorch library for solving imaging inverse problems using deep learning

gpunufft icon gpunufft

gpuNUFFT - An Open-Source GPU Library for 3D Gridding with Direct Matlab Interface

intro-ts icon intro-ts

Introduction to signal processing (in french, Première/Terminal)

joblib icon joblib

Computing with Python functions.

modopt icon modopt

Modular Optimisation tools for solving inverse problems

mrhub icon mrhub

Hub for open-source MR-related software

mri-nufft icon mri-nufft

Wrapper of NUFFT libraries to use for MR Image reconstruction.

nbb icon nbb

When is the next bus coming ?

patch-denoising icon patch-denoising

Patch based denoising method, targeting fMRI thermal noise removal.

pynufft icon pynufft

PyNUFFT: Python non-uniform fast Fourier transform

pysap icon pysap

Python Sparse data Analysis Package

pysap-fmri icon pysap-fmri

Python Sparse data Analysis Package external fMRI plugin.

pysap-mri icon pysap-mri

MRI external plugin for Python Sparse data Analysis Package

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