Compressed Sensing for Data Reduction in Synthetic Aperture Ultrasound Imaging: A Feasibility Study

Anand R, Arun Kumar Thittai. Compressed Sensing for Data Reduction in Synthetic Aperture Ultrasound Imaging: A Feasibility Study. In 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020. pages 304-307, IEEE, 2020. [doi]

@inproceedings{RT20,
  title = {Compressed Sensing for Data Reduction in Synthetic Aperture Ultrasound Imaging: A Feasibility Study},
  author = {Anand R and Arun Kumar Thittai},
  year = {2020},
  doi = {10.1109/ISBI45749.2020.9098710},
  url = {https://doi.org/10.1109/ISBI45749.2020.9098710},
  researchr = {https://researchr.org/publication/RT20},
  cites = {0},
  citedby = {0},
  pages = {304-307},
  booktitle = {17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020},
  publisher = {IEEE},
  isbn = {978-1-5386-9330-8},
}