3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI

Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss 0002, Sanketh Vedula, Ortal Senouf, Alex M. Bronstein. 3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. In Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye, editors, Machine Learning for Medical Image Reconstruction - Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Volume 12450 of Lecture Notes in Computer Science, pages 3-16, Springer, 2020. [doi]

@inproceedings{Alush-AbenAWVSB20,
  title = {3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI},
  author = {Jonathan Alush-Aben and Linor Ackerman-Schraier and Tomer Weiss 0002 and Sanketh Vedula and Ortal Senouf and Alex M. Bronstein},
  year = {2020},
  doi = {10.1007/978-3-030-61598-7_1},
  url = {https://doi.org/10.1007/978-3-030-61598-7_1},
  researchr = {https://researchr.org/publication/Alush-AbenAWVSB20},
  cites = {0},
  citedby = {0},
  pages = {3-16},
  booktitle = {Machine Learning for Medical Image Reconstruction - Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings},
  editor = {Farah Deeba and Patricia Johnson and Tobias Würfl and Jong Chul Ye},
  volume = {12450},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-61598-7},
}