no code implementations • 1 Jan 2021 • Tycho F.A. van der Ouderaa, Ivana Isgum, Wouter B. Veldhuis, Bob D. de Vos, Pim Moeskops
In this paper we propose a spatial transformer network where the spatial transformations are limited to the group of diffeomorphisms.
no code implementations • 1 Oct 2020 • Tycho F. A. van der Ouderaa, Ivana Išgum, Wouter B. Veldhuis, Bob D. de Vos
Deep neural networks are increasingly used for pair-wise image registration.
no code implementations • 27 Aug 2020 • Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski
To exploit the potential information captured in EHRs, in this study we propose a multimodal recurrent neural network model for cardiovascular risk prediction that integrates both medical texts and structured clinical information.
1 code implementation • 15 Oct 2019 • Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim
Primary tumors have a high likelihood of developing metastases in the liver and early detection of these metastases is crucial for patient outcome.
no code implementations • 22 Aug 2019 • Mariëlle J. A. Jansen, Wouter B. Veldhuis, Maarten S. van Leeuwen, Josien P. W. Pluim
Compared to a pairwise method or no registration, groupwise registration provided better alignment.