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ORCIDWillem Jan Palenstijn
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2020 – today
- 2020
[j9]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)- [j8]Sophia Bethany Coban
, Felix Lucka, Willem Jan Palenstijn, Denis Van Loo, Kees Joost Batenburg:
Explorative Imaging and Its Implementation at the FleX-ray Laboratory. J. Imaging 6(4): 18 (2020) - [j7]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) - [j6]A. Kostenko, Willem Jan Palenstijn, Sophia Bethany Coban, Allard A. Hendriksen, Robert van Liere, Kees Joost Batenburg:
Prototyping X-ray tomographic reconstruction pipelines with FleXbox. SoftwareX 11: 100364 (2020) - [j5]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) - [c5]Ben van Werkhoven, Willem Jan Palenstijn, Alessio Sclocco:
Lessons Learned in a Decade of Research Software Engineering GPU Applications. ICCS (7) 2020: 399-412 - [c4]Jan-Willem Buurlage, Rob H. Bisseling, Willem Jan Palenstijn, Kees Joost Batenburg:
A projection-based data partitioning method for distributed tomographic reconstruction. PP 2020: 58-68 - [i2]Ben van Werkhoven, Willem Jan Palenstijn, Alessio Sclocco:
Lessons learned in a decade of research software engineering GPU applications. CoRR abs/2005.13227 (2020) - [i1]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)
2010 – 2019
- 2017
- [c3]Axel Ringh, Xiaodong Zhuge, Willem Jan Palenstijn, Kees Joost Batenburg, Ozan Öktem:
High-Level Algorithm Prototyping: An Example Extending the TVR-DART Algorithm. DGCI 2017: 109-121 - 2016
- [j4]Folkert Bleichrodt, Tristan van Leeuwen, Willem Jan Palenstijn, Wim van Aarle, Jan Sijbers, Kees Joost Batenburg:
Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators. Numer. Algorithms 71(3): 673-697 (2016) - [j3]Xiaodong Zhuge, Willem Jan Palenstijn, Kees Joost Batenburg:
TVR-DART: A More Robust Algorithm for Discrete Tomography From Limited Projection Data With Automated Gray Value Estimation. IEEE Trans. Image Process. 25(1): 455-468 (2016) - 2015
- [c2]Gabriel Ramos-Llordén, Hilde Segers, Willem Jan Palenstijn, Arnold J. den Dekker, Jan Sijbers:
Partially discrete magnetic resonance tomography. ICIP 2015: 1653-1657 - 2013
- [j2]Kees Joost Batenburg, Willem Jan Palenstijn, Péter Balázs, Jan Sijbers:
Dynamic angle selection in binary tomography. Comput. Vis. Image Underst. 117(4): 306-318 (2013) - [j1]Hilde Segers, Willem Jan Palenstijn, Kees Joost Batenburg, Jan Sijbers:
Discrete Tomography in MRI: a Simulation Study. Fundam. Informaticae 125(3-4): 223-237 (2013)
2000 – 2009
- 2004
- [c1]Kees Joost Batenburg, Willem Jan Palenstijn:
On the Reconstruction of Crystals Through Discrete Tomography. IWCIA 2004: 23-37
Coauthor Index
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