ROBERTO JANNIEL LAVARELLO MONTERO

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Se encontraron 124 publicaciones

ROMERO, A. A.; COILA, A.; LAVARELLO, R. J.(2023). ¿A simulation study to evaluate constraints for nonlinearity parameter estimation using the depletion method. En 2023 IEEE EMBS R9 Conference. IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/10525296

COILA, A.; ROMERO, A. A.; MIRANDA, E. A.; Oelze, M.; LAVARELLO, R. J.(2023). Depletion of backscattered fundamental band signal for nonlinearity parameter imaging. En 2023 IEEE International Ultrasonics Symposium. (pp. 1 - 4). IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/10307885

PARRAGA, J. E.; LAVARELLO, R. J.; COILA, A.(2023). Improving Nonlinearity Parameter Imaging Using Compounding. En 2023 IEEE EMBS R9 Conference. IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/10525394

MIRANDA, E. A.; Basarab, A.; LAVARELLO, R. J.(2023). Multifrequency joint reconstruction of ultrasonic attenuation images. En 2023 IEEE International Ultrasonics Symposium. IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/10307840

CARRERA, A. A.; Basarab, A.; LAVARELLO, R. J.(2022). Attenuation coefficient imaging using regularization by denoising. En 2022 IEEE International Ultrasonics Symposium (IUS). IEEE. Recuperado de: https://ieeexplore.ieee.org/document/9957668

SAMPEN, D. A. y LAVARELLO, R. J.(2022). Comparison of deep learning architectures for COVID-19 diagnosis using chest X-ray images. En SPIE Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment. SPIE. Recuperado de: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12035/0000/Comparison-of-deep-learning-architectures-for-COVID-19-diagnosis-using/10

TIMANA, J. A.; CHAHUARA, H. F.; Basavarajappa, L.; Basarab, A.; Hoyt, K.; LAVARELLO, R. J.(2022). Feasibility of attenuation coefficient and envelope signal-to-noise ratio for tissue characterization of liver steatosis. En 2022 IEEE International Ultrasonics Symposium (IUS). IEEE. Recuperado de: https://ieeexplore.ieee.org/document/9957945

Khairalseed, M.; Laimes, R.; Pinto, J.; Guerrero, J.; Chávez, H.; Salazar, C.; Ge, G.; Parker, K.; LAVARELLO, R. J.; Hoyt, K.(2022). H-scan ultrasound imaging for the classification of thyroid tumors. En 2022 IEEE International Ultrasonics Symposium (IUS). IEEE. Recuperado de: https://ieeexplore.ieee.org/document/9957380