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Jakub Jurek
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2020 – today
- 2024
- [j1]Andrzej Materka
, Jakub Jurek
Using Deep Learning and B-Splines to Model Blood Vessel Lumen from 3D Images. Sensors 24(3): 846 (2024) - 2023
- [c8]Jakub Jurek
Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images Using Neural Networks. ICCS (2) 2023: 638-652 - [c7]Andrzej Materka
CNN-Based Quantification of Blood Vessels Lumen in 3D Images. ICCS (2) 2023: 653-661 - [c6]Jakub Jurek
Improving the Resolution and SNR of Diffusion Magnetic Resonance Images From a Low-Field Scanner. PCBBE 2023: 147-160 - 2022
- [i1]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 abs/2206.00305 (2022) - 2020
- [c5]Jakub Jurek
On the Effect of DCE MRI Slice Thickness and Noise on Estimated Pharmacokinetic Biomarkers - A Simulation Study. ICCVG 2020: 72-86
2010 – 2019
- 2018
- [c4]Jakub Jurek
Dictionary-based through-plane interpolation of prostate cancer T2-weighted MR images. SPA 2018: 168-173 - [c3]Jakub Jurek
CRF-Based Clustering of Pharmacokinetic Curves from Dynamic Contrast-Enhanced MR Images. SPA 2018: 174-179 - 2017
- [c2]Jakub Jurek
Rule-based data-driven approach for computer aided diagnosis of the peripheral zone prostate cancer from multiparametric MRI: Proof of concept. SPA 2017: 90-95 - [c1]Jakub Jurek
Reconstruction of high-resolution T2W MR images of the prostate using maximum a posteriori approach and Markov random field regularization. SPA 2017: 96-99
Coauthor Index
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last updated on 2024-04-25 05:58 CEST by the dblp team
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