AVILES, E. R.; ZEGARRA, C. A.; REYES, F. S.;
CASTAÑEDA, B.;
ROMERO, S. E.(2023).
Development of an acquisition system to monitoring asynchronous tele-ultrasound for lung patients. En
18th International Symposium on Medical Information Processing and Analysis, 2022, Valparaíso, Chile. International Society for Optics and Photonics. Recuperado de:
https://doi.org/10.1117/12.2670097Marini, T.;
CASTAÑEDA, B.; Parker, K.; Baran, T.;
ROMERO, S. E.; Iyer, R.; Zhao, Y. T.; Hah, Z.; Part, M. H.; Brennan, G.; Kan, J.; Meng, S.; Dozier, A.; O'Connell, A.(2022).
No sonographer, no radiologist: assessing accuracy of artificial intelligence on breast ultrasound volume sweep imaging scans. PLOS Digital Health. Volumen: 1. Recuperado de:
https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000148Naemi, R.;
ROMERO, S. E.; Allan, D.; FLORES, G. A.; ORMACHEA, J.; GUTIERREZ AYALA, E.; Casado-Pena, J.; Anyosa-Zavaleta, S.; Juarez, M.;
CASADO, F. L.;
CASTAÑEDA, B.(2022).
Diabetes status is associated with plantar soft tissue stiffness measured using ultrasound reverberant shear wave elastography approach. Journal of diabetes science and technology. Volumen: 16. (pp. 478 - 490). Recuperado de:
https://journals.sagepub.com/doi/full/10.1177/1932296820965259Quispe, P.;
ROMERO, S. E.;
CASTAÑEDA, B.(2022).
Feasibility of a Deep Learning approach to estimate Shear Wave Speed using the framework of Reverberant Shear Wave Elastography: A numerical simulation study. En
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). (pp. 3895 - 3898). IEEE. Recuperado de:
https://ieeexplore.ieee.org/abstract/document/9871532
