| A characterization of cardiac‐induced noise in R2* maps of the brain Q Raynaud, G Di Domenicantonio, J Yerly, T Dardano, RB van Heeswijk, ... Magnetic Resonance in Medicine 91 (1), 237-251, 2024 | 3 | 2024 |
| Statistical analyses of motion-corrupted MRI relaxometry data computed from multiple scans N Corbin, R Oliveira, Q Raynaud, G Di Domenicantonio, B Draganski, ... Journal of Neuroscience Methods 398, 109950, 2023 | 1 | 2023 |
| In-vivo characterization of magnetic inclusions in the subcortex from non-exponential transverse relaxation decay R Oliveira, Q Raynaud, I Jelescu, VG Kiselev, E Kirilina, A Lutti | | 2024 |
| Data acquisition strategies to reduce cardiac-induced noise in brain maps of R2* and magnetic susceptibility Q Raynaud, T Dardano, R Oliveira, G Di Domenicantonio, T Tobias, ... bioRxiv, 2024.08. 20.608759, 2024 | | 2024 |
| Statistical analyses of motion-corrupted MRI relaxometry data N Corbin, R Oliveira, Q Raynaud, GD Domenicantonio, B Draganski, ... bioRxiv, 2023.03. 16.532911, 2023 | | 2023 |
| Data acquisition strategies to mitigate cardiac-induced noise in quantitative R2* maps of the brain Q Raynaud, T Dardano, CW Roy, J Yerly, T Kober, RB van Heeswijk, ... International Society for Magnetic Resonance in Medicine, 2023 | | 2023 |
| Non-exponential transverse relaxation in the brain’s basal ganglia R Oliveira, Q Raynaud, V Kiselev, I Jelescu, A Lutti | | |
| Characterization of cardiac noise in brain quantitative relaxometry MRI data Q Raynaud, J Yerly, RB van Heeswijk, A Lutti | | |
| Compressed sensing for accelerated multi-parameter quantitative MRI A Joseph, Q Raynaud, A Lutti, T Kober, T Hilbert | | |
