Assessment of COVID-19 in Lung Ultrasound by Combining Anatomy and Sonographic Artifacts Cues using Deep Learning

@ARTICLE{bagon2021tmi,
  author={Frank, Oz and Schipper, Nir and Vaturi, Mordehay and Soldati, Gino and Smargiassi, Andrea and Inchingolo, Riccardo and Torri, Elena and Perrone, Tiziano and Mento, Federico and Demi, Libertario and Galun, Meirav and Eldar, Yonina C. and Bagon, Shai},
  journal={IEEE Transactions on Medical Imaging},
  title={Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19},
  year={2022},
  volume={41},
  number={3},
  pages={571-581},
  doi={10.1109/TMI.2021.3117246}
}

@article{bagon2020asa,
  title={Assessment of COVID-19 in lung ultrasound by combining anatomy and sonographic artifacts using deep learning},
  author={Bagon, Shai and Galun, Meirav and Frank, Oz and Schipper, Nir and Vaturi, Mordehay and Zalcberg, Gad and Soldati, Gino and Smargiassi, Andrea and Inchingolo, Riccardo and Torri, Elena and others},
  journal={The Journal of the Acoustical Society of America},
  volume={148},
  number={4},
  pages={2736--2736},
  year={2020},
  publisher={Acoustical Society of America},
  doi={10.1121/1.5147600}
}