Added value of morphological features to breast lesion diagnosis in ultrasound. - Michal Byra; Katarzyna Dobruch-Sobczak; Hanna Piotrzkowska-Wróblewska; Andrzej Nowicki (CoRR, 2017)

Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images. - Michal Byra; Grzegorz Styczynski; Cezary Szmigielski; Piotr Kalinowski; Lukasz Michalowski; Rafal Paluszkiewicz; Hanna Piotrzkowska-Wróblewska; Krzysztof Zieniewicz; Piotr Sobieraj; Andrzej Nowicki (Int. J. Comput. Assist. Radiol. Surg., 2018)

Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning. - Michal Byra; Tomasz Sznajder; Danijel Korzinek; Hanna Piotrzkowska-Wróblewska; Katarzyna Dobruch-Sobczak; Andrzej Nowicki; Krzysztof Marasek (CoRR, 2018)

Impact of Ultrasound Image Reconstruction Method on Breast Lesion Classification with Deep Learning. - Michal Byra; Tomasz Sznajder; Danijel Korzinek; Hanna Piotrzkowska-Wróblewska; Katarzyna Dobruch-Sobczak; Andrzej Nowicki; Krzysztof Marasek (IbPRIA (1), 2019)

Breast mass classification in ultrasound based on Kendall's shape manifold. - Michal Byra; Michael P. André (CoRR, 2019)

Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning. - Michal Byra; Mei Wu; Xiaodong Zhang; Hyungseok Jang; Yajun Ma; Eric Y. Chang; Sameer Shah; Jiang Du (CoRR, 2019)

Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network. - Michal Byra; Piotr Jarosik; Aleksandra Szubert; Michael Y. Galperin; Haydee Ojeda-Fournier; Linda K. Olson; Mary O'Boyle; Christopher Comstock; Michael P. André (Biomed. Signal Process. Control., 2020)

Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net. - Michal Byra; Piotr Jarosik; Katarzyna Dobruch-Sobczak; Ziemowit Klimonda; Hanna Piotrzkowska-Wróblewska; Jerzy Litniewski; Andrzej Nowicki (CoRR, 2020)

Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method. - Michal Byra; Grzegorz Styczynski; Cezary Szmigielski; Piotr Kalinowski; Lukasz Michalowski; Rafal Paluszkiewicz; Bogna Ziarkiewicz-Wroblewska; Krzysztof Zieniewicz; Andrzej Nowicki (CoRR, 2020)

Breast mass classification with transfer learning based on scaling of deep representations. - Michal Byra (Biomed. Signal Process. Control., 2021)

Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks. - Michal Byra; Katarzyna Dobruch-Sobczak; Ziemowit Klimonda; Hanna Piotrzkowska-Wróblewska; Jerzy Litniewski (IEEE J. Biomed. Health Informatics, 2021)

Estimating the ultrasound attenuation coefficient using convolutional neural networks - a feasibility study. - Piotr Jarosik; Michal Byra; Marcin Lewandowski; Ziemowit Klimonda (CoRR, 2022)

Parameter estimation of the homodyned K distribution based on neural networks and trainable fractional-order moments. - Michal Byra; Ziemowit Klimonda; Piotr Jarosik (CoRR, 2022)

Deep meta-learning for the selection of accurate ultrasound based breast mass classifier. - Michal Byra; Piotr Karwat; Ivan Ryzhankow; Piotr Komorowski; Ziemowit Klimonda; Lukasz Fura; Anna Pawlowska; Norbert Zolek; Jerzy Litniewski (CoRR, 2022)

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; Matthias Schlachter; Binbin Xu 002; Tomomi Shimogori; Henrik Skibbe (ISBI, 2023)

Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and Classification. - Michal Byra; Ziemowit Klimonda; Jerzy Litniewski (DEMI@MICCAI, 2023)

Implicit Neural Representations for Joint Decomposition and Registration of Gene Expression Images in the Marmoset Brain. - Michal Byra; Charissa Poon; Tomomi Shimogori; Henrik Skibbe (MICCAI (10), 2023)

Few-shot medical image classification with simple shape and texture text descriptors using vision-language models. - Michal Byra; Muhammad Febrian Rachmadi; Henrik Skibbe (CoRR, 2023)

PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches. - Henrik Skibbe; Michal Byra; Akiya Watakabe; Tetsuo Yamamori; Marco Reisert (CoRR, 2023)

A new family of instance-level loss functions for improving instance-level segmentation and detection of white matter hyperintensities in routine clinical brain MRI. - Muhammad Febrian Rachmadi; Michal Byra; Henrik Skibbe (Comput. Biol. Medicine, 2024)

Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound. - Michal Byra; Piotr Jarosik; Piotr Karwat; Ziemowit Klimonda; Marcin Lewandowski (CoRR, 2024)

Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. - Moi Hoon Yap; Bill Cassidy; Michal Byra; Ting-Yu Liao; Huahui Yi; Adrian Galdran; Yung-Han Chen; Raphael Brüngel; Sven Koitka; Christoph M. Friedrich; Yu-Wen Lo; Ching-Hui Yang; et al. (Medical Image Anal., 2024)

Generating Visual Explanations from Deep Networks Using Implicit Neural Representations. - Michal Byra; Henrik Skibbe (WACV, 2025)