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STEFANO ENRIQUE ROMERO GUTIERREZ

STEFANO ENRIQUE ROMERO GUTIERREZ

STEFANO ENRIQUE ROMERO GUTIERREZ

Doctor en Ingeniería, PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU

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Magíster en Procesamiento de Señales e Imágenes Digitales (PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU)

Ingeniero Electrónico
DOCENTE CONTRATADO - CONTRATADO
Docente a tiempo completo (DTC)
Departamento Académico de Ingeniería - Sección Electricidad y Electrónica

Publicaciones

Se encontraron 50 publicaciones

ROMERO, S. E.; Naemi, R.; FLORES, G. A.; Allan, D.; ORMACHEA, J.; GUTIERREZ AYALA, E.; CASADO, F. L.; CASTAÑEDA, B.(2022). Plantar soft tissue characterization using reverberant shear wave elastography: A proof-of-concept study. Ultrasound in Medicine & Biology. Volumen: 48. (pp. 35 - 46). Recuperado de: https://www.sciencedirect.com/science/article/abs/pii/S0301562921004075
ROMERO, S. E.; Naemi, R.; FLORES, G. A.; David, A.; ORMACHEA, J.; GUTIERREZ AYALA, E.; CASADO, F. L.; CASTAÑEDA, B.(2022). Plantar Soft Tissue Characterization Using Reverberant Shear Wave Elastography: A Proof-of-Concept Study. Ultrasound in Medicine and Biology. Recuperado de: https://doi.org/10.1016/j.ultrasmedbio.2021.09.011
Alarcón, R.; ROMERO, S. E.; Guevara, N.; Montoya, X.; Rios, G.; Terrones, R.; Marini, T.; CASTAÑEDA, B.(2022). Panoramic reconstruction of b-mode lung ultrasound images acquired using a longitudinal volume sweep imaging protocol. En 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). (pp. 3903 - 3906). IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/9871438
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/9871532
Naemi, 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/10.1177/1932296820965259
Marini, 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.0000148
Zumaeta, 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/9629788
Miranda, E. A.; CASTAÑEDA, B.; ROMERO, S. E.(2021). Comparison of statistical models for the detection of uniform reverberant shear wave fields. En 2021 IEEE International Ultrasonics Symposium (IUS). (pp. 1 - 4). IEEE. Recuperado de: https://ieeexplore.ieee.org/document/9593570