31 citations · 37 across the 6 of their papers we have counts for
6 papers
Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound
Michal Byra, Piotr Jarosik, Piotr Karwat +2
Accurate estimation of the speed-of-sound (SoS) is important for ultrasound (US) image reconstruction techniques and tissue characterization. Various approaches have been proposed…
Deep meta-learning for the selection of accurate ultrasound based breast mass classifier
Michal Byra, Piotr Karwat, Ivan Ryzhankow +6
Standard classification methods based on handcrafted morphological and texture features have achieved good performance in breast mass differentiation in ultrasound (US). In compari…
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…
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…
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
Michal Byra, Piotr Jarosik, Katarzyna Dobruch-Sobczak +4
We propose a novel deep learning based approach to breast mass segmentation in ultrasound (US) imaging. In comparison to commonly applied segmentation methods, which use US images,…
Monitoring breast cancer response to neoadjuvant chemotherapy with ultrasound signal statistics and integrated backscatter
Hanna Piotrzkowska-Wróblewska, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda +4
Monitoring Neoadjuvant chemotherapy (NAC) effects is necessary to capture resistant patients and stop or change treatment. The aim of this study was to assess the tumor response at…