Jakub Jurek

According to our database, Jakub Jurek authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Using Deep Learning and B-Splines to Model Blood Vessel Lumen from 3D Images.

Andrzej Materka, Jakub Jurek

Sensors, February, 2024

2023

Improving the Resolution and SNR of Diffusion Magnetic Resonance Images From a Low-Field Scanner.

Jakub Jurek, Kamil Ludwisiak, Andrzej Materka, Filip Szczepankiewicz

Proceedings of the Latest Developments and Challenges in Biomedical Engineering, 2023

CNN-Based Quantification of Blood Vessels Lumen in 3D Images.

Andrzej Materka, Jakub Jurek, Marek Kocinski, Artur Klepaczko

Proceedings of the Computational Science - ICCS 2023, 2023

Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images Using Neural Networks.

Jakub Jurek, Andrzej Materka, Kamil Ludwisiak, Agata Majos, Filip Szczepankiewicz

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Supervised Denoising of Diffusion-Weighted Magnetic Resonance Images Using a Convolutional Neural Network and Transfer Learning.

Jakub Jurek, Andrzej Materka, Kamil Ludwisiak, Agata Majos, Kamil Gorczewski, Kamil Cepuch, Agata Zawadzka

CoRR, 2022

2020

On the Effect of DCE MRI Slice Thickness and Noise on Estimated Pharmacokinetic Biomarkers - A Simulation Study.

Jakub Jurek, Lars Reisæter, Marek Kocinski, Andrzej Materka

Proceedings of the Computer Vision and Graphics - International Conference, 2020

2018

CRF-Based Clustering of Pharmacokinetic Curves from Dynamic Contrast-Enhanced MR Images.

Jakub Jurek, Mateusz Pelesz, Are Losnegård, Lars Reisæter, Andrzej Wojciechowski, Artur Klepaczko, Ole J. Halvorsen, Christian Beisland, Marek Kocinski, Andrzej Materka, Jarle Rørvik, Arvid Lundervold

Proceedings of the Signal Processing: Algorithms, 2018

Dictionary-based through-plane interpolation of prostate cancer T2-weighted MR images.

Jakub Jurek, Marek Kocinski, Andrzej Materka, Are Losnegård, Lars Reisæter, Ole J. Halvorsen, Christian Beisland, Jarle Rørvik, Arvid Lundervold

Proceedings of the Signal Processing: Algorithms, 2018

2017

Reconstruction of high-resolution T2W MR images of the prostate using maximum a posteriori approach and Markov random field regularization.

Jakub Jurek, Marek Kocinski, Andrzej Materka, Are Losnegård, Lars Reisæter, Ole J. Halvorsen, Christian Beisland, Jarle Rørvik, Arvid Lundervold

Proceedings of the Signal Processing: Algorithms, 2017

Rule-based data-driven approach for computer aided diagnosis of the peripheral zone prostate cancer from multiparametric MRI: Proof of concept.

Jakub Jurek, Marek Kocinski, Andrzej Materka, Are Losnegård, Lars Reisæter, Ole J. Halvorsen, Christian Beisland, Jarle Rørvik, Arvid Lundervold

Proceedings of the Signal Processing: Algorithms, 2017