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About Me

Pierre-Antoine Comby
Author
Pierre-Antoine Comby
PhD Student on Deep Learning for fMRI Imaging
Google Scholar
Table of Contents

Biography
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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

IEEE Style
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Pierre-Antoine Comby is currently a Ph.D. student of the University Paris-Saclay, in the MIND Team (CEA/Inria), under the supervision of Dr. Philippe Ciuciu and Dr. Alexandre Vignaud. He received his M.Sc. in Signal Processing from the Ecole Normale Supérieure Paris-Saclay in 2021. His research interests include signal processing, machine learning, and computational neuroscience. He is particularly interested in the development of new methods for functional MRI reconstruction, with a focus on high-resolution imaging and accelerated acquisition.

Pierre-Antoine Comby published in several international conferences, including the IEEE International Symposium on Biomedical Imaging (ISBI), the International Society for Magnetic Resonance in Medicine (ISMRM). He has been a reviewer for the IEEE Transactions on Medical Imaging, the IEEE Transactions on Computational Imaging, as well as for the Magnetic Resonance in Medicine journal.

Awards & Grants
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Best Abstract Award (ISMRM 2024)
2nd Place, Reproducible Research Group
CDSN Grant (2021-2024)
Doctoral Funding from École Normale Supérieur Paris-Saclay for challenging PhD topics.
Normalien Élève (2017-2021)
4 year Funding for Graduate school as a civil servant

Publications
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Reviews
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I have peer reviewed several submissions for the following Journals:

Journal
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Comby, P.-A., Vignaud, A., & Ciuciu, P. (2024, April 12). SNAKE-fMRI: A modular fMRI data simulator from the space-time domain to k-space and back. https://doi.org/10.48550/arXiv.2404.08282

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Conference Proceedings
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Comby, P.-A., Daval-Frerot, G., Gr, C., Vignaud, A., & Ciuciu, P. (2024). MRI-NUFFT: An open source Python package to make non-Cartesian MR Imaging easier. ISMRM Annual Meeting, (in Press).
Comby, P.-A., Vignaud, A., & Ciuciu, P. (2024). SNAKE-fMRI: A modular fMRI simulator from the space-time domain to k-space data and back. ISMRM Annual Meeting, (in Press).
Z. Amor, Comby, P.-A., Ciuciu, P., & Vignaud, A. (2024, May). Achieving high temporal resolution using a sliding-window approach for SPARKLING fMRI data: A simulation study. ISMRM Annual Meeting.
Amor, Z., Comby, P.-A., Ster, C. L., Vignaud, A., & Ciuciu, P. (2023). Non-Cartesian Non-Fourier FMRI Imaging for High-Resolution Retinotopic Mapping at 7 Tesla. 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 201–205. https://doi.org/10.1109/CAMSAP58249.2023.10403497
Comby, P.-A., Amor, Z., Vignaud, A., & Ciuciu, P. (2023, April 18). Denoising of FMRI volumes using local low rank methods. ISBI 2023 - International Symposium on Biomedical Imaging. https://hal.science/hal-03895194
Comby, P.-A., Amor, Z., Vignaud, A., & Ciuciu, P. (2023, June). Benchmarking local low rank denoising methods for task-based fMRI data analysis. ISMRM 2023 Annual Meeting.
Hopp, T., Zuch, F., Comby, P.-A., & Ruiter, N. V. (2020). Fat ray ultrasound transmission tomography: Preliminary experimental results with simulated data. Medical Imaging 2020: Ultrasonic Imaging and Tomography, 11319, 113190M. https://doi.org/10.1117/12.2548444

Coworkers and Collaborators
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  • Dr. Philippe Ciuciu
  • Dr. Alexandre Vignaud
  • Dr. Emilie Chouzenoux
  • Dr. Matthieu Terris
  • Dr. Chaithya G. R.
  • Dr. Zaineb Amor
  • Marie Dogo (Supervised M.Sc. intern, Summer 2023)
  • Benjamin Lapostolle (Supervised M.Sc. intern Summer 2024)

Numerical IDs
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ORCID: 0000-0001-6998-232X

GPG: 73E0 23DD 46BD EF3C 5697 C344 1B97 78EB B070 A4BF