Koen A. J. Eppenhof

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 15

Top Topics

Histological Images

Image Registration

Mri Segmentation

Top Venues

Medical Imaging: Image Processing

DLMIA/ML-CDS@MICCAI

Publications

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) (2020)
Koen A. J. Eppenhof, Maxime W. Lafarge, Josien P. W. Pluim
Progressively growing convolutional networks for end-to-end deformable image registration. Medical Imaging: Image Processing (2019)
Koen A. J. Eppenhof, Josien P. W. Pluim
Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks. IEEE Trans. Medical Imaging 38 (5) (2019)
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
Inferring a third spatial dimension from 2D histological images. ISBI (2018)
Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. MICCAI (1) (2018)
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
Inferring a Third Spatial Dimension from 2D Histological Images. CoRR (2018)
Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim
Deformable image registration using convolutional neural networks. Medical Imaging: Image Processing (2018)
Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. CoRR (2018)
Koen A. J. Eppenhof, Josien P. W. Pluim
Supervised local error estimation for nonlinear image registration using convolutional neural networks. Medical Imaging: Image Processing (2017)
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. DLMIA/ML-CDS@MICCAI (2017)
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 (2017)
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 (2017)
Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
Adversarial Training and Dilated Convolutions for Brain MRI Segmentation. DLMIA/ML-CDS@MICCAI (2017)
Bart M. ter Haar Romeny, Erik J. Bekkers, Jiong Zhang, Samaneh Abbasi-Sureshjani, Fan Huang, Remco Duits, Behdad Dashtbozorg, Tos Berendschot, Iris Smit-Ockeloen, Koen A. J. Eppenhof, Jinghan Feng, Julius Hannink, Jan Schouten, Mengmeng Tong, Hanhui Wu, Han J. W. van Triest, Shanshan Zhu, Dali Chen, Wei He, Ling Xu, Ping Han, Yan Kang
Brain-inspired algorithms for retinal image analysis. Mach. Vis. Appl. 27 (8) (2016)
Josien P. W. Pluim, Sascha E. A. Muenzing, Koen A. J. Eppenhof, Keelin Murphy
The truth is hard to make: Validation of medical image registration. ICPR (2016)
Christine Tanner, Koen A. J. Eppenhof, Jaap Gelderblom, Gábor Székely
Decision fusion for temporal prediction of respiratory liver motion. ISBI (2014)