| 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 | 44 | 2022 |
| 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 | 31* | 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 | 29* | 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 | 28* | 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 | 18 | 2021 |
| 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 | 10 | 2023 |
| 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 | 10 | 2020 |
| 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 | 6 | 2022 |
| 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 | 6 | 2021 |
| 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 | 4 | 2022 |
| 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 | 3 | 2022 |
| 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 | 2 | 2022 |
| Benchmarking learned non-Cartesian k-space trajectories and reconstruction networks GR Chaithya, P Ciuciu CoRR, 2022 | 2 | 2022 |
| 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 | 1 | 2024 |
| Non-cartesian 3D-SPARKLING vs cartesian 3D-EPI encoding schemes for functional magnetic resonance Imaging at 7 Tesla Z Amor, P Ciuciu, CG Radhakrishna, G Daval-Frérot, F Mauconduit, ... | 1 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| 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 |
Philippe CiuciuCEA Fellow & Research Director (CEA/NeuroSpin and Inria MIND)Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cea.fr
