Grzegorz Mrukwa

Orcid: 0000-0002-4158-1265

According to our database1, Grzegorz Mrukwa authored at least 9 papers between 2016 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
DiviK: divisive intelligent K-means for hands-free unsupervised clustering in big biological data.
BMC Bioinform., 2022

2020
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.
Artif. Intell. Medicine, 2020

2019
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.
CoRR, 2019

Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.
Comput. Methods Programs Biomed., 2019

Data Augmentation via Image Registration.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

2018
Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Evolvable Deep Features.
Proceedings of the Applications of Evolutionary Computation, 2018

2016
A Novel Divisive iK-Means Algorithm with Region-Driven Feature Selection as a Tool for Automated Detection of Tumour Heterogeneity in MALDI IMS Experiments.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016


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