Rogier R. Wildeboer

According to our database, Rogier R. Wildeboer authored at least 5 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2020

Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods.

Rogier R. Wildeboer, Ruud J. G. van Sloun, Hessel Wijkstra, Massimo Mischi

Comput. Methods Programs Biomed., 2020

2019

Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network.

Rogier R. Wildeboer, Ruud J. G. van Sloun, Christophe K. Mannaerts, Georg Salomon, Hessel Wijkstra, Massimo Mischi

CoRR, 2019

Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities.

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate Cancer.

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

IEEE Trans. Medical Imaging, 2018

A fixed-distance plane wave method for estimating the ultrasound coefficient of nonlinearity.

Anastasiia Panfilova, Ruud J. G. van Sloun, Rogier R. Wildeboer, Hessel Wijkstra, Massimo Mischi

Proc. Meet. Acoust., 2018