Pierre-Antoine Comby
PhD Student on Deep Learning for fMRI Imaging
I am a PhD Student in the MIND and METRIC Team at Inria and Neurospin, at CEA Saclay (France), supervised by Philippe Ciuciu and Alexandre Vignaud. I am working on innovative functional MRI acquisition and reconstruction methods using compressed sensing and deep learning. I foster reproducible science and contribute to open-source software.
My résumé
pierre-antoine.comby@(cea|inria|ens-paris-saclay).fr
Interests
- Deep Learning
- Inverse Problem
- Biomedical Imaging
- Open Source
Education
PhD in Deep Learning and Inverse Problem University Paris Saclay, 2021-2025
MSc Control, Signal and Image Processing University Paris Saclay, 2020-2021
Normalien Élève Ecole Normale Supérieure Paris-Saclay, 2017-2021
Recent
Using Org-mode for writing ISMRM abstracts
·5 mins
Emacs
PhD
Orgmode
Adaptation over automation
Running Python code on a HPC Cluster with no internet access
·4 mins
Python
Hpc
It would be easier with internet access, obviously.
Computational Imaging in Research: We keep reinventing the wheel
·3 mins
Essay
In the field of Computational Imaging, Solving inverse problem is a task that every graduate student learns to do.
Nice preview of dataclasses in notebooks
·3 mins
Python
When I am working in jupyter notebooks, I really enjoy the nice visualisation of dataframes as html table, and wish I could make other objects have pretty representation as well.
Award: 2nd Best Abstract for Reproducibility at ISMRM 2024
·1 min
News
What a week at ISMRM24 in Singapore !