7 citations · 19 across the 14 of their papers we have counts for
14 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…
Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain
Michal Byra, Charissa Poon, Tomomi Shimogori +1
We propose a novel image registration method based on implicit neural representations that addresses the challenging problem of registering a pair of brain images with similar anat…
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models
Michal Byra, Muhammad Febrian Rachmadi, Henrik Skibbe
In this work, we investigate the usefulness of vision-language models (VLMs) and large language models for binary few-shot classification of medical images. We utilize the GPT-4 mo…
An automated pipeline to create an atlas of in situ hybridization gene expression data in the adult marmoset brain
Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra +4
We present the first automated pipeline to create an atlas of in situ hybridization gene expression in the adult marmoset brain in the same stereotaxic space. The pipeline consists…
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…
Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method
Michal Byra, Grzegorz Styczynski, Cezary Szmigielski +6
Convolutional neural networks (CNNs) have achieved remarkable success in medical image analysis tasks. In ultrasound (US) imaging, CNNs have been applied to object classification,…
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,…
Breast mass classification in ultrasound based on Kendall's shape manifold
Michal Byra, Michael Andre
Morphological features play an important role in breast mass classification in sonography. While benign breast masses tend to have a well-defined ellipsoidal contour, shape of mali…
Quantitative Ultrasound and B-mode Image Texture Features Correlate with Collagen and Myelin Content in Human Ulnar Nerve Fascicles
Michal Byra, Lidi Wan, Jonathan Wong +4
We investigate the usefulness of quantitative ultrasound (QUS) and B-mode texture features for characterization of ulnar nerve fascicles. Ultrasound data were acquired from cadaver…
WaveFlow - Towards Integration of Ultrasound Processing with Deep Learning
Piotr Jarosik, Michał Byra, Marcin Lewandowski
The ultimate goal of this work is a real-time processing framework for ultrasound image reconstruction augmented with machine learning. To attain this, we have implemented WaveFlow…
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning
Michal Byra, Tomasz Sznajder, Danijel Korzinek +4
Deep learning algorithms, especially convolutional neural networks, have become a methodology of choice in medical image analysis. However, recent studies in computer vision show t…
Added value of morphological features to breast lesion diagnosis in ultrasound
Michał Byra, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wróblewska +1
Ultrasound imaging plays an important role in breast lesion differentiation. However, diagnostic accuracy depends on ultrasonographer experience. Various computer aided diagnosis s…