Michal Byra

Orcid: 0000-0002-5759-2516

According to our database1, Michal Byra authored at least 19 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

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

Breast mass classification in ultrasound based on Kendall's shape manifold.
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
Added value of morphological features to breast lesion diagnosis in ultrasound.
CoRR, 2017


  Loading...