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Chaithya G R
Chaithya G R
CEA/DRF/NeuroSpin
Verified email at cea.fr - Homepage
Title
Cited by
Cited by
Year
NC-PDNet: A density-compensated unrolled network for 2D and 3D non-Cartesian MRI reconstruction
Z Ramzi, GR Chaithya, JL Starck, P Ciuciu
IEEE Transactions on Medical Imaging 41 (7), 1625-1638, 2022
462022
PySAP: Python Sparse data Analysis Package
S Farrens, A Grigis, L El Gueddari, Z Ramzi, GR Chaithya, S Starck, ...
Astrophysics Source Code Library, ascl: 2008.005, 2020
32*2020
Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance imaging
GR Chaithya, P Weiss, G Daval-Frérot, A Massire, A Vignaud, P Ciuciu
IEEE Trans. Med. Imaging, 2021
30*2021
A multi-center study on human brain glutathione conformation using magnetic resonance spectroscopy
D Shukla, PK Mandal, L Ersland, ER Grüner, M Tripathi, P Raghunathan, ...
Journal of Alzheimer's Disease 66 (2), 517-532, 2018
29*2018
Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction
GR Chaithya, Z Ramzi, P Ciuciu
2021 29th European Signal Processing Conference (EUSIPCO), 960-964, 2021
192021
Jointly Learning Non-Cartesian k-Space Trajectories and Reconstruction Networks for 2D and 3D MR Imaging through Projection
CG Radhakrishna, P Ciuciu
Bioengineering 10 (2), 158, 2023
112023
PySAP-MRI: A Python package for MR image reconstruction
L El Gueddari, CG Radhakrishna, Z Ramzi, S Farrens, S Starck, A Grigis, ...
ISMRM workshop on Data Sampling and Image Reconstruction, 2020
102020
Hybrid learning of non-Cartesian k-space trajectory and MR image reconstruction networks
GR Chaithya, Z Ramzi, P Ciuciu
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
62022
Calibration-less multi-coil compressed sensing magnetic resonance image reconstruction based on OSCAR regularization
L El Gueddari, C Giliyar Radhakrishna, E Chouzenoux, P Ciuciu
Journal of Imaging 7 (3), 58, 2021
62021
MC-PDNET: Deep unrolled neural network for multi-contrast mr image reconstruction from undersampled k-space data
K Pooja, Z Ramzi, GR Chaithya, P Ciuciu
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
42022
Prospects of non-Cartesian 3D-SPARKLING encoding for functional MRI: A preliminary case study for retinotopic mapping
Z Amor, CG Radhakrishna, G Daval-Frérot, B Thirion, F Mauconduit, ...
Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 2022
32022
B0 field distortions monitoring and correction for 3D non-Cartesian fMRI acquisitions using a field camera: Application to 3D-SPARKLING at 7T
Z Amor, CG Radhakrishna, C Le Ster, G Daval-Frérot, N Boulant, ...
Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 2022
22022
Benchmarking learned non-Cartesian k-space trajectories and reconstruction networks
GR Chaithya, P Ciuciu
CoRR, 2022
22022
Non-cartesian 3D-SPARKLING vs cartesian 3D-EPI encoding schemes for functional magnetic resonance Imaging at 7 Tesla
Z Amor, P Ciuciu, C GR, G Daval-Frérot, F Mauconduit, B Thirion, ...
Plos one 19 (5), e0299925, 2024
12024
Impact of B 0 B _0 field imperfections correction on BOLD sensitivity in 3D‐SPARKLING fMRI data
Z Amor, C Le Ster, C Gr, G Daval‐Frérot, N Boulant, F Mauconduit, ...
Magnetic Resonance in Medicine 91 (4), 1434-1448, 2024
12024
Improving spreading projection algorithm for rapid k‐space sampling trajectories through minimized off‐resonance effects and gridding of low frequencies
C Giliyar Radhakrishna, G Daval‐Frérot, A Massire, A Vignaud, P Ciuciu
Magnetic Resonance in Medicine 90 (3), 1069-1085, 2023
12023
More-sparkling: non-Cartesian trajectories with minimized off-resonance effects
GR Chaithya, G Daval-Frérot, A Massire, B Mailhe, M Nadar, A Vignaud, ...
Proceedings of the 30th Annual Meeting of ISMRM 1611, 2022
12022
Method and apparatus for performing accelarated magnetic resonance imaging with reduced off-resonance effect
CG RADHAKRISHNA, GD Frerot, A Vignaud, P Ciuciu
US Patent App. 18/137,840, 2023
2023
Improving spreading projection algorithm for rapid k-space sampling trajectories through minimized off-resonance effects and gridding of low frequencies
CG Radhakrishna, G Daval-Frérot, A Massire, A Vignaud, P Ciuciu
Magnetic resonance in medicine 90 (3), 1069-1085, 2023
2023
Designing and learning non-Cartesian k-space sampling trajectories for accelerated 3D MRI
CG Radhakrishna
Université Paris-Saclay, 2023
2023
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