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2020 – today
- 2024
[j6]Muhammad Febrian Rachmadi
, Michal Byra, Henrik Skibbe:
A new family of instance-level loss functions for improving instance-level segmentation and detection of white matter hyperintensities in routine clinical brain MRI. Comput. Biol. Medicine 174: 108414 (2024)- [j5]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, Kang Li, Qicheng Lao, Miguel Ángel González Ballester, Gustavo Carneiro, Yi-Jen Ju, Juinn-Dar Huang, Joseph M. Pappachan, Neil D. Reeves, Vishnu Chandrabalan, Darren Dancey, Connah Kendrick:
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Medical Image Anal. 94: 103153 (2024) - [i14]Michal Byra, Piotr Jarosik, Piotr Karwat, Ziemowit Klimonda, Marcin Lewandowski:
Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound. CoRR abs/2409.14035 (2024) - 2023
- [c4]Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu, Tomomi Shimogori, Henrik Skibbe:
An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain. ISBI 2023: 1-5 - [c3]Michal Byra, Ziemowit Klimonda, Jerzy Litniewski:
Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and Classification. DEMI@MICCAI 2023: 34-45 - [c2]Michal Byra, Charissa Poon, Tomomi Shimogori, Henrik Skibbe:
Implicit Neural Representations for Joint Decomposition and Registration of Gene Expression Images in the Marmoset Brain. MICCAI (10) 2023: 645-654 - [i13]Charissa Poon, Muhammad Febrian Rachmadi, Michal Byra, Matthias Schlachter, Binbin Xu, Tomomi Shimogori, Henrik Skibbe:
An automated pipeline to create an atlas of in situ hybridization gene expression data in the adult marmoset brain. CoRR abs/2303.06857 (2023) - [i12]Michal Byra, Muhammad Febrian Rachmadi, Henrik Skibbe:
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models. CoRR abs/2308.04005 (2023) - [i11]Michal Byra, Charissa Poon, Tomomi Shimogori, Henrik Skibbe:
Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain. CoRR abs/2308.04039 (2023) - [i10]Henrik Skibbe, Michal Byra, Akiya Watakabe, Tetsuo Yamamori, Marco Reisert:
PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches. CoRR abs/2312.06958 (2023) - 2022
- [i9]Piotr Jarosik, Michal Byra, Marcin Lewandowski, Ziemowit Klimonda:
Estimating the ultrasound attenuation coefficient using convolutional neural networks - a feasibility study. CoRR abs/2205.09533 (2022) - [i8]Michal Byra, Ziemowit Klimonda, Piotr Jarosik:
Parameter estimation of the homodyned K distribution based on neural networks and trainable fractional-order moments. CoRR abs/2210.05833 (2022) - [i7]Michal Byra, Piotr Karwat, Ivan Ryzhankow, Piotr Komorowski, Ziemowit Klimonda, Lukasz Fura, Anna Pawlowska, Norbert Zolek, Jerzy Litniewski:
Deep meta-learning for the selection of accurate ultrasound based breast mass classifier. CoRR abs/2211.01892 (2022) - 2021
- [j4]Michal Byra:
Breast mass classification with transfer learning based on scaling of deep representations. Biomed. Signal Process. Control. 69: 102828 (2021) - [j3]Michal Byra, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Hanna Piotrzkowska-Wróblewska, Jerzy Litniewski:
Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 25(3): 797-805 (2021) - 2020
- [j2]Michal Byra, Piotr Jarosik, Aleksandra Szubert, Michael Y. Galperin, Haydee Ojeda-Fournier, Linda K. Olson, Mary O'Boyle, Christopher Comstock, Michael P. André:
Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network. Biomed. Signal Process. Control. 61: 102027 (2020) - [i6]Michal Byra, Piotr Jarosik, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Hanna Piotrzkowska-Wróblewska, Jerzy Litniewski, Andrzej Nowicki:
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net. CoRR abs/2001.10061 (2020) - [i5]Michal Byra, Grzegorz Styczynski, Cezary Szmigielski, Piotr Kalinowski, Lukasz Michalowski, Rafal Paluszkiewicz, Bogna Ziarkiewicz-Wroblewska, Krzysztof Zieniewicz, Andrzej Nowicki:
Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method. CoRR abs/2009.03364 (2020)
2010 – 2019
- 2019
- [c1]Michal Byra, Tomasz Sznajder, Danijel Korzinek, Hanna Piotrzkowska-Wróblewska, Katarzyna Dobruch-Sobczak, Andrzej Nowicki, Krzysztof Marasek:
Impact of Ultrasound Image Reconstruction Method on Breast Lesion Classification with Deep Learning. IbPRIA (1) 2019: 41-52 - [i4]Michal Byra, Michael P. André:
Breast mass classification in ultrasound based on Kendall's shape manifold. CoRR abs/1905.11159 (2019) - [i3]Michal Byra, Mei Wu, Xiaodong Zhang, Hyungseok Jang, Yajun Ma, Eric Y. Chang, Sameer Shah, Jiang Du:
Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning. CoRR abs/1908.01594 (2019) - 2018
- [j1]Michal Byra, Grzegorz Styczynski, Cezary Szmigielski, Piotr Kalinowski, Lukasz Michalowski, Rafal Paluszkiewicz, Hanna Piotrzkowska-Wróblewska, Krzysztof Zieniewicz, Piotr Sobieraj, Andrzej Nowicki:
Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1895-1903 (2018) - [i2]Michal Byra, Tomasz Sznajder, Danijel Korzinek, Hanna Piotrzkowska-Wróblewska, Katarzyna Dobruch-Sobczak, Andrzej Nowicki, Krzysztof Marasek:
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning. CoRR abs/1804.02119 (2018) - 2017
- [i1]Michal Byra, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wróblewska, Andrzej Nowicki:
Added value of morphological features to breast lesion diagnosis in ultrasound. CoRR abs/1706.01855 (2017)
Coauthor Index
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