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ORCIDRogier R. Wildeboer
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Journal Articles
- 2020
[j3]Rogier R. Wildeboer, Ruud J. G. van Sloun
, Hessel Wijkstra, Massimo Mischi:
Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods. Comput. Methods Programs Biomed. 189: 105316 (2020)- 2018
- [j2]Anastasiia Panfilova, Ruud J. G. van Sloun, Rogier R. Wildeboer, Hessel Wijkstra, Massimo Mischi:
A fixed-distance plane wave method for estimating the ultrasound coefficient of nonlinearity. Proc. Meet. Acoust. 34(1) (2018) - [j1]Rogier R. Wildeboer, Ruud J. G. van Sloun, Stefan G. Schalk, Christophe K. Mannaerts, J. C. Van Der Linden, Pintong Huang, Hessel Wijkstra, Massimo Mischi:
Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate Cancer. IEEE Trans. Medical Imaging 37(12): 2593-2602 (2018)
Conference and Workshop Papers
- 2019
- [c1]Joost van der Putten, Rogier R. Wildeboer, Jeroen de Groof, Ruud van Sloun, Maarten R. Struyvenberg, Fons van der Sommen, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With:
Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. ISBI 2019: 1127-1131
Informal and Other Publications
- 2019
- [i1]Rogier R. Wildeboer, Ruud J. G. van Sloun, Christophe K. Mannaerts, Georg Salomon, Hessel Wijkstra, Massimo Mischi:
Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network. CoRR abs/1908.03573 (2019)
Coauthor Index
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