Chaithya G. R.

Orcid: 0000-0001-9859-6006

Affiliations:
  • Paris-Saclay University, NeuroSpin, CEA, France


According to our database1, Chaithya G. R. authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Benchmarking 3D multi-coil NC-PDNet MRI reconstruction.
CoRR, 2024

2023
Designing and learning non-Cartesian k-space sampling trajectories for accelerated 3D MRI. (Conception et apprentissage de trajectoires d'échantillonnage non cartésiennes dans l'espace k pour l'IRM 3D accélérée).
PhD thesis, 2023

2022
NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction.
IEEE Trans. Medical Imaging, 2022

Optimizing Full 3D SPARKLING Trajectories for High-Resolution Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2022

Benchmarking learned non-Cartesian k-space trajectories and reconstruction networks.
CoRR, 2022

Hybrid Learning of Non-Cartesian K-Space Trajectory and Mr Image Reconstruction Networks.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

MC-PDNet: Deep Unrolled Neural Network For Multi-Contrast Mr Image Reconstruction From Undersampled K-Space Data.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Calibration-Less Multi-Coil Compressed Sensing Magnetic Resonance Image Reconstruction Based on OSCAR Regularization.
J. Imaging, 2021

Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging.
CoRR, 2021

Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing.
Astron. Comput., 2020


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