Michal Byra
Orcid: 0000-0002-5759-2516
According to our database1,
Michal Byra authored at least 24 papers
between 2017 and 2026.
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Bibliography
2026
CoRR, January, 2026
2025
Generating Visual Explanations from Deep Networks Using Implicit Neural Representations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
2024
Medical Image Anal., 2024
CoRR, 2024
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, 2024
2023
PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches.
CoRR, 2023
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models.
CoRR, 2023
Implicit Neural Representations for Joint Decomposition and Registration of Gene Expression Images in the Marmoset Brain.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and Classification.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023
An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Deep meta-learning for the selection of accurate ultrasound based breast mass classifier.
CoRR, 2022
Parameter estimation of the homodyned K distribution based on neural networks and trainable fractional-order moments.
CoRR, 2022
Estimating the ultrasound attenuation coefficient using convolutional neural networks - a feasibility study.
CoRR, 2022
2021
Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2021
Breast mass classification with transfer learning based on scaling of deep representations.
Biomed. Signal Process. Control., 2021
2020
Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method.
CoRR, 2020
CoRR, 2020
Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network.
Biomed. Signal Process. Control., 2020
2019
Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning.
CoRR, 2019
CoRR, 2019
Impact of Ultrasound Image Reconstruction Method on Breast Lesion Classification with Deep Learning.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019
2018
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning.
CoRR, 2018
Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images.
Int. J. Comput. Assist. Radiol. Surg., 2018
2017
CoRR, 2017