3 papers
cs.CV2026
DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction
Qiaoxin Li, Caini Pan, Pierre-Antoine Comby +2
Accelerated acquisition of fMRI enables enhanced detection of neurovascular (BOLD) activity in the brain, but image reconstruction becomes challenging with high k-space undersampli…
eess.IV2024
Robust plug-and-play methods for highly accelerated non-Cartesian MRI reconstruction
Pierre-Antoine Comby, Benjamin Lapostolle, Matthieu Terris +1
Achieving high-quality Magnetic Resonance Imaging (MRI) reconstruction at accelerated acquisition rates remains challenging due to the inherent ill-posed nature of the inverse prob…
eess.SP2024
SNAKE-fMRI: A modular fMRI data simulator from the space-time domain to k-space and back
Pierre-Antoine Comby, Alexandre Vignaud, Philippe Ciuciu
We propose a new, modular, open-source, Python-based 3D+time fMRI data simulation software, \emph{SNAKE-fMRI}, which stands for \emph{S}imulator from \emph{N}eurovascular coupling…