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Koen A. J. Eppenhof
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2020 – today
- 2020
- [j3]Koen A. J. Eppenhof
, Maxime W. Lafarge, Mitko Veta, Josien P. W. Pluim:
Progressively Trained Convolutional Neural Networks for Deformable Image Registration. IEEE Trans. Medical Imaging 39(5): 1594-1604 (2020)
2010 – 2019
- 2019
- [j2]Koen A. J. Eppenhof
Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks. IEEE Trans. Medical Imaging 38(5): 1097-1105 (2019) - [c9]Koen A. J. Eppenhof
Progressively growing convolutional networks for end-to-end deformable image registration. Medical Imaging: Image Processing 2019: 109491C - 2018
- [c8]Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof
Inferring a third spatial dimension from 2D histological images. ISBI 2018: 586-589 - [c7]Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. MICCAI (1) 2018: 440-448 - [c6]Koen A. J. Eppenhof
Deformable image registration using convolutional neural networks. Medical Imaging: Image Processing 2018: 105740S - [i4]Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof
Inferring a Third Spatial Dimension from 2D Histological Images. CoRR abs/1801.03431 (2018) - [i3]Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. CoRR abs/1804.03393 (2018) - 2017
- [c5]Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof
Adversarial Training and Dilated Convolutions for Brain MRI Segmentation. DLMIA/ML-CDS@MICCAI 2017: 56-64 - [c4]Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof
Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images. DLMIA/ML-CDS@MICCAI 2017: 83-91 - [c3]Koen A. J. Eppenhof
Supervised local error estimation for nonlinear image registration using convolutional neural networks. Medical Imaging: Image Processing 2017: 101331U - [i2]Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim:
Adversarial training and dilated convolutions for brain MRI segmentation. CoRR abs/1707.03195 (2017) - [i1]Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta:
Domain-adversarial neural networks to address the appearance variability of histopathology images. CoRR abs/1707.06183 (2017) - 2016
- [j1]Bart M. ter Haar Romeny
Brain-inspired algorithms for retinal image analysis. Mach. Vis. Appl. 27(8): 1117-1135 (2016) - [c2]Josien P. W. Pluim, Sascha E. A. Muenzing, Koen A. J. Eppenhof
The truth is hard to make: Validation of medical image registration. ICPR 2016: 2294-2300 - 2014
- [c1]Christine Tanner, Koen A. J. Eppenhof
Decision fusion for temporal prediction of respiratory liver motion. ISBI 2014: 698-701
Coauthor Index
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