"Designing and learning non-Cartesian k-space sampling trajectories for ..."

Chaithya Giliyar Radhakrishna (2023)

> Home

Details and statistics

DOI: —

access: closed

type: Book or Thesis

metadata version: 2023-08-03

- view
  - electronic edition @ archives-ouvertes.fr
- export record
  dblp key:
  - phd/hal/Radhakrishna23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/phd/hal/Radhakrishna23
Chaithya Giliyar Radhakrishna:
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). University of Paris-Saclay, France, 2023

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.