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 (SPA, 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 (SPA, 2017)

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 (SPA, 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 (SPA, 2018)

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 (ICCVG, 2020)

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)

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 (ICCS (2), 2023)

CNN-Based Quantification of Blood Vessels Lumen in 3D Images. - Andrzej Materka; Jakub Jurek; Marek Kocinski; Artur Klepaczko (ICCS (2), 2023)

Improving the Resolution and SNR of Diffusion Magnetic Resonance Images From a Low-Field Scanner. - Jakub Jurek; Kamil Ludwisiak; Andrzej Materka; Filip Szczepankiewicz (PCBBE, 2023)

MBD: Multi b-value Denoising of Diffusion Magnetic Resonance Images. - Jakub Jurek; Andrzej Materka; Kamil Ludwisiak; Agata Majos; Filip Szczepankiewicz (CoRR, 2024)

Using Deep Learning and B-Splines to Model Blood Vessel Lumen from 3D Images. - Andrzej Materka; Jakub Jurek (Sensors, 2024)