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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 39 publicaciones

ROMERO, S. E.; OCHOA, E. J.; CASTAÑEDA, B.(2023). Automatic Region of Interest Detection as a Complement for Reverberant Shear Wave Elastography Assessment in Foot. En 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM). IEEE Xplore. Recuperado de: https://ieeexplore.ieee.org/document/10373547
VASQUEZ, C. E.; ROMERO, S. E.; ZAPANA, J. A.; PAUCAR, J. F.; Marini, T.; CASTAÑEDA, B.(2023). Automatic detection of lung ultrasound artifacts using a deep neural networks approach. En 18th International Symposium on Medical Information Processing and Analysis, 2022, Valparaíso, Chile. International Society for Optics and Photonics. Recuperado de: https://doi.org/10.1117/12.2670456
ROMERO, S. E.; GUEVARA, D. N.; MONTOYA, X. J.; CASTAÑEDA, B.(2023). Assessment of panoramic ultrasound reconstruction imaging using telemedicine equipment: a phantom experiment. En 18th International Symposium on Medical Information Processing and Analysis, 2022, Valparaíso, Chile. International Society for Optics and Photonics. Recuperado de: https://doi.org/10.1117/12.2670069
AVILES, E. R.; ROMERO, S. E.; CASTAÑEDA, B.(2023). An Ultrasound Transducer Tracking System Enhanced by Artificial Intelligence: A Camera-Based Approach. En 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM). IEEE Xplore. Recuperado de: https://ieeexplore.ieee.org/abstract/document/10373436
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
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
Tecse, A.; ROMERO, S. E.; Romero, C.; Naemi, R.; CASTAÑEDA, B.(2022). Mechanical validation of viscoelastic parameters for different interface pressures using the Kelvin-Voigt fractional derivative model. En 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). (pp. 1512 - 1515). IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/9872009
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