Koen A. J. Eppenhof

16 papers B 4Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Progressively Trained Convolutional Neural Networks for Deformable Image Registration. IEEE Trans. Medical Imaging Koen A. J. Eppenhof, Maxime W. Lafarge, Mitko Veta, Josien P. W. Pluim
2019	B	`conf`	Progressively growing convolutional networks for end-to-end deformable image registration. Image Processing Koen A. J. Eppenhof, Maxime W. Lafarge, Josien P. W. Pluim
2019	J	`jnl`	Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks. IEEE Trans. Medical Imaging Koen A. J. Eppenhof, Josien P. W. Pluim
2018	B	`conf`	Deformable image registration using convolutional neural networks. Image Processing Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim
2018	J	`jnl`	Inferring a Third Spatial Dimension from 2D Histological Images. CoRR Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2018	—	`conf`	Inferring a third spatial dimension from 2D histological images. ISBI Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2018	—	`conf`	Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. MICCAI (1) Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
2018	J	`jnl`	Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. CoRR Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
2017	—	`conf`	Adversarial Training and Dilated Convolutions for Brain MRI Segmentation. DLMIA/ML-CDS@MICCAI Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
2017	J	`jnl`	Adversarial training and dilated convolutions for brain MRI segmentation. CoRR Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
2017	—	`conf`	Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images. DLMIA/ML-CDS@MICCAI Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2017	J	`jnl`	Domain-adversarial neural networks to address the appearance variability of histopathology images. CoRR Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
2017	B	`conf`	Supervised local error estimation for nonlinear image registration using convolutional neural networks. Image Processing Koen A. J. Eppenhof, Josien P. W. Pluim
2016	J	`jnl`	Brain-inspired algorithms for retinal image analysis. Mach. Vis. Appl. 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
2016	B	`conf`	The truth is hard to make: Validation of medical image registration. ICPR Josien P. W. Pluim, Sascha E. A. Muenzing, Koen A. J. Eppenhof, Keelin Murphy
2014	—	`conf`	Decision fusion for temporal prediction of respiratory liver motion. ISBI Christine Tanner, Koen A. J. Eppenhof, Jaap Gelderblom, Gábor Székely