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Feasibility of a Deep Learning approach to estimate Shear Wave Speed using the framework of Reverberant Shear Wave Elastography: A numerical simulation study.

, , and . EMBC, page 3895-3898. IEEE, (2022)

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Comparison between U-Net and DeepLabV3 for Crawling Waves Sonoelastography approach., , , , and . SIPAIM, page 1-4. IEEE, (2023)An Ultrasound Transducer Tracking System Enhanced by Artificial Intelligence: A Camera-Based Approach., , and . SIPAIM, page 1-4. IEEE, (2023)Feasibility of a Deep Learning approach to estimate Shear Wave Speed using the framework of Reverberant Shear Wave Elastography: A numerical simulation study., , and . EMBC, page 3895-3898. IEEE, (2022)Practical settings for shear wave speed estimation using the framework of Reverberant Shear Wave Elastography: A numerical simulation study., , , , and . EMBC, page 3877-3881. IEEE, (2021)A pilot study for testing a low-cost 3D design with an inertial sensor for the quantitative assessment of finger tapping in patients with Parkinson's Disease., , , , , and . EMBC, page 1-4. IEEE, (2023)Automatic Region of Interest Detection as a Complement for Reverberant Shear Wave Elastography Assessment in Foot., , and . SIPAIM, page 1-4. IEEE, (2023)Mechanical validation of viscoelastic parameters for different interface pressures using the Kelvin-Voigt fractional derivative model., , , , and . EMBC, page 1512-1515. IEEE, (2022)Shear Wave Speed estimator using Continuous Wavelet Transform for Crawling Wave Sonoelastography., , , and . EMBC, page 3994-3997. IEEE, (2021)Panoramic Reconstruction of B-mode Lung Ultrasound Images Acquired using a Longitudinal Volume Sweep Imaging Protocol., , , , , , , and . EMBC, page 3903-3906. IEEE, (2022)Combining inertial sensors and optical flow to assess finger movements: Pilot study for telehealth applications., , , , , , , and . EMBC, page 2409-2412. IEEE, (2021)