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Lars Reisæter
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2020 – today
- 2020
- [c5]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: 72-86
2010 – 2019
- 2018
- [j1]Are Losnegård, Lars Reisæter, Ole J. Halvorsen, Christian Beisland, Aurea Castilho, Ludvig P. Muren, Jarle Rørvik, Arvid Lundervold:
Intensity-based volumetric registration of magnetic resonance images and whole-mount sections of the prostate. Comput. Medical Imaging Graph. 63: 24-30 (2018) - [c4]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: 168-173 - [c3]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: 174-179 - 2017
- [c2]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: 90-95 - [c1]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: 96-99
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