Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography

Ali Kafaei Zad Tehrani, Hassan Rivaz. Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography. In Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan 0001, Tanveer F. Syeda-Mahmood, Russell H. Taylor, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I. Volume 14220 of Lecture Notes in Computer Science, pages 467-476, Springer, 2023. [doi]

@inproceedings{TehraniR23,
  title = {Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography},
  author = {Ali Kafaei Zad Tehrani and Hassan Rivaz},
  year = {2023},
  doi = {10.1007/978-3-031-43907-0_45},
  url = {https://doi.org/10.1007/978-3-031-43907-0_45},
  researchr = {https://researchr.org/publication/TehraniR23},
  cites = {0},
  citedby = {0},
  pages = {467-476},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I},
  editor = {Hayit Greenspan and Anant Madabhushi and Parvin Mousavi and Septimiu Salcudean and James Duncan 0001 and Tanveer F. Syeda-Mahmood and Russell H. Taylor},
  volume = {14220},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-43907-0},
}