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2020 – today
- 2025
[b1]Pierre-Antoine Comby:
From Compressed Sensing to deep learning based methods for functional Magnetic Resonance Imaging reconstruction at ultra-high field. (De l'échantillonnage compressé à l'apprentissage profond pour la reconstruction d'Imagerie par Résonance Magnétique à très haut champ). University of Paris-Saclay, France, 2025- [j1]Pierre-Antoine Comby
, Guillaume Daval-Frerot, Caini Pan, Asma Tanabene, Léna Oudjman, Matteo Cencini, Philippe Ciuciu, Chaithya G. R.:
MRI-NUFFT: Doing non-Cartesian MRI has never been easier. J. Open Source Softw. 10(109): 7743 (2025) - [c4]Pierre-Antoine Comby, Matthieu Terris, Alexandre Vignaud, Philippe Ciuciu:
Plug-and-Play Reconstruction for 3D Non-Cartesian fMRI Data. EUSIPCO 2025: 1015-1019 - [c3]Pierre-Antoine Comby, Benjamin Lapostolle, Matthieu Terris, Philippe Ciuciu:
Robust Plug-and-Play Methods for Highly Accelerated Non-Cartesian MRI Reconstruction. ISBI 2025: 1-5 - 2024
- [i1]Pierre-Antoine Comby, Benjamin Lapostolle, Matthieu Terris, Philippe Ciuciu:
Robust plug-and-play methods for highly accelerated non-Cartesian MRI reconstruction. CoRR abs/2411.01955 (2024) - 2023
- [c2]Zaineb Amor, Pierre-Antoine Comby, Caroline Le Ster, Alexandre Vignaud, Philippe Ciuciu:
Non-Cartesian Non-Fourier FMRI Imaging for High-Resolution Retinotopic Mapping at 7 Tesla. CAMSAP 2023: 201-205 - [c1]Pierre-Antoine Comby, Zaineb Amor, Alexandre Vignaud, Philippe Ciuciu:
Denoising of fMRI Volumes Using Local Low Rank Methods. ISBI 2023: 1-5
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