Jakub Jurek

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Maximum A Posteriori

Convolutional Neural Network

Prostate Cancer

Computer Aided Diagnosis

Top Venues

Publications

Andrzej Materka, Jakub Jurek
Using Deep Learning and B-Splines to Model Blood Vessel Lumen from 3D Images. Sensors 24 (3) (2024)
Jakub Jurek, Kamil Ludwisiak, Andrzej Materka, Filip Szczepankiewicz
Improving the Resolution and SNR of Diffusion Magnetic Resonance Images From a Low-Field Scanner. PCBBE (2023)
Jakub Jurek, Andrzej Materka, Kamil Ludwisiak, Agata Majos, Filip Szczepankiewicz
Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images Using Neural Networks. ICCS (2) (2023)
Andrzej Materka, Jakub Jurek, Marek Kocinski, Artur Klepaczko
CNN-Based Quantification of Blood Vessels Lumen in 3D Images. ICCS (2) (2023)
Jakub Jurek, Andrzej Materka, Kamil Ludwisiak, Agata Majos, Kamil Gorczewski, Kamil Cepuch, Agata Zawadzka
Supervised Denoising of Diffusion-Weighted Magnetic Resonance Images Using a Convolutional Neural Network and Transfer Learning. CoRR (2022)
Jakub Jurek, Lars Reisæter, Marek Kocinski, Andrzej Materka
On the Effect of DCE MRI Slice Thickness and Noise on Estimated Pharmacokinetic Biomarkers - A Simulation Study. ICCVG (2020)
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
CRF-Based Clustering of Pharmacokinetic Curves from Dynamic Contrast-Enhanced MR Images. SPA (2018)
Jakub Jurek, Marek Kocinski, Andrzej Materka, Are Losnegård, Lars Reisæter, Ole J. Halvorsen, Christian Beisland, Jarle Rørvik, Arvid Lundervold
Dictionary-based through-plane interpolation of prostate cancer T2-weighted MR images. SPA (2018)
Jakub Jurek, Marek Kocinski, Andrzej Materka, Are Losnegård, Lars Reisæter, Ole J. Halvorsen, Christian Beisland, Jarle Rørvik, Arvid Lundervold
Reconstruction of high-resolution T2W MR images of the prostate using maximum a posteriori approach and Markov random field regularization. SPA (2017)
Jakub Jurek, Marek Kocinski, Andrzej Materka, Are Losnegård, Lars Reisæter, Ole J. Halvorsen, Christian Beisland, Jarle Rørvik, Arvid Lundervold
Rule-based data-driven approach for computer aided diagnosis of the peripheral zone prostate cancer from multiparametric MRI: Proof of concept. SPA (2017)