6 citations · 7 across the 6 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.LG2022
Parameter estimation of the homodyned K distribution based on neural networks and trainable fractional-order moments
Michal Byra, Ziemowit Klimonda, Piotr Jarosik
Homodyned K (HK) distribution has been widely used to describe the scattering phenomena arising in various research fields, such as ultrasound imaging or optics. In this work, we p…
physics.med-ph2022
Estimating the ultrasound attenuation coefficient using convolutional neural networks -- a feasibility study
Piotr Jarosik, Michal Byra, Marcin Lewandowski +1
Attenuation coefficient (AC) is a fundamental measure of tissue acoustical properties, which can be used in medical diagnostics. In this work, we investigate the feasibility of usi…