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Marinus J. Lagerwerf

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Journal Articles

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2021
[j4]
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  - journals/mlst/LagerwerfHBB21
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  - https://dblp.org/rec/journals/mlst/LagerwerfHBB21
Marinus J. Lagerwerf, Allard A. Hendriksen, Jan-Willem Buurlage, Kees Joost Batenburg:
Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D computed tomography. Mach. Learn. Sci. Technol. 2(1): 15012 (2021)
2020
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Marinus J. Lagerwerf, Willem Jan Palenstijn, Folkert Bleichrodt, Kees Joost Batenburg:
An Efficient Interpolation Approach for Exploring the Parameter Space of Regularized Tomography Algorithms. Fundam. Informaticae 172(2): 143-167 (2020)
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Marinus J. Lagerwerf, Daniël Maria Pelt, Willem Jan Palenstijn, Kees Joost Batenburg:
A Computationally Efficient Reconstruction Algorithm for Circular Cone-Beam Computed Tomography Using Shallow Neural Networks. J. Imaging 6(12): 135 (2020)
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Marinus J. Lagerwerf, Willem Jan Palenstijn, Holger Kohr, Kees Joost Batenburg:
Automated FDK-Filter Selection for Cone-Beam CT in Research Environments. IEEE Trans. Computational Imaging 6: 739-748 (2020)

Informal and Other Publications

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2020
[i1]
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  - journals/corr/abs-2010-00421
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Marinus J. Lagerwerf, Daniël Maria Pelt, Willem Jan Palenstijn, Kees Joost Batenburg:
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks. CoRR abs/2010.00421 (2020)

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