Piotr Jarosik | DeepAI

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research

∙ 10/11/2022

Parameter estimation of the homodyned K distribution based on neural networks and trainable fractional-order moments

Homodyned K (HK) distribution has been widely used to describe the scatt...

0 Michał Byra, et al. ∙

research

∙ 05/19/2022

Estimating the ultrasound attenuation coefficient using convolutional neural networks – a feasibility study

Attenuation coefficient (AC) is a fundamental measure of tissue acoustic...

0 Piotr Jarosik, et al. ∙

research

∙ 01/27/2020

Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net

We propose a novel deep learning based approach to breast mass segmentat...

0 Michał Byra, et al. ∙

research

∙ 04/02/2018

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments

In the NIPS 2017 Learning to Run challenge, participants were tasked wit...

0 Łukasz Kidziński, et al. ∙