Quispe, 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/9871532Marini, 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.0000148Zumaeta, K.;
ROMERO, S. E.; Torres, E.; Urdiales, L.; Ramirez, A.; Camargo, I.; Lizarraga, K. J.;
CASTAÑEDA, B.(2021).
Combining inertial sensors and optical flow to assess finger movements: Pilot study for telehealth applications. En
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). (pp. 2409 - 2412). IEEE. Recuperado de:
https://ieeexplore.ieee.org/abstract/document/9629788FLORES, G. A.; Quispe, P.;
ROMERO, S. E.; ORMACHEA, J.;
CASTAÑEDA, B.(2021).
Practical settings for shear wave speed estimation using the framework of Reverberant Shear Wave Elastography: A numerical simulation study. En
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). (pp. 3877 - 3881). IEEE. Recuperado de:
https://ieeexplore.ieee.org/abstract/document/9630470
