Koen Eppenhof
Koen Eppenhof
Research Scientist, ScreenPoint Medical
Geverifieerd e-mailadres voor screenpointmed.com
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Adversarial training and dilated convolutions for brain MRI segmentation
P Moeskops, M Veta, MW Lafarge, KAJ Eppenhof, JPW Pluim
Deep learning in medical image analysis and multimodal learning for clinical …, 2017
1102017
Roto-translation covariant convolutional networks for medical image analysis
EJ Bekkers, MW Lafarge, M Veta, KAJ Eppenhof, JPW Pluim, R Duits
International conference on medical image computing and computer-assisted …, 2018
782018
Domain-adversarial neural networks to address the appearance variability of histopathology images
MW Lafarge, JPW Pluim, KAJ Eppenhof, P Moeskops, M Veta
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
722017
Deformable image registration using convolutional neural networks
KAJ Eppenhof, MW Lafarge, P Moeskops, M Veta, JPW Pluim
Medical Imaging 2018: Image Processing 10574, 105740S, 2018
67*2018
Pulmonary CT registration through supervised learning with convolutional neural networks
KAJ Eppenhof, JPW Pluim
IEEE transactions on medical imaging 38 (5), 1097-1105, 2018
412018
Brain-inspired algorithms for retinal image analysis
BM ter Haar Romeny, EJ Bekkers, J Zhang, S Abbasi-Sureshjani, ...
Machine Vision and Applications 27 (8), 1117-1135, 2016
262016
Error estimation of deformable image registration of pulmonary CT scans using convolutional neural networks
KAJ Eppenhof, JPW Pluim
Journal of Medical Imaging 5 (2), 024003, 2018
232018
The truth is hard to make: Validation of medical image registration
JPW Pluim, SEA Muenzing, KAJ Eppenhof, K Murphy
2016 23rd International Conference on Pattern Recognition (ICPR), 2294-2300, 2016
182016
Supervised local error estimation for nonlinear image registration using convolutional neural networks
KAJ Eppenhof, JPW Pluim
Medical Imaging 2017: Image Processing 10133, 101331U, 2017
132017
Retinal artery/vein classification via graph cut optimization
K Eppenhof, E Bekkers, TTJM Berendschot, JPW Pluim, ...
University of Iowa, 2015
132015
Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks
KAJ Eppenhof, M Maspero, MHF Savenije, JCJ de Boer, ...
Medical physics 47 (3), 1238-1248, 2020
102020
Learning domain-invariant representations of histological images
MW Lafarge, JPW Pluim, KAJ Eppenhof, M Veta
Frontiers in medicine 6, 162, 2019
102019
Progressively trained convolutional neural networks for deformable image registration
KAJ Eppenhof, MW Lafarge, M Veta, JPW Pluim
IEEE transactions on medical imaging 39 (5), 1594-1604, 2019
92019
Progressively growing convolutional networks for end-to-end deformable image registration
KAJ Eppenhof, MW Lafarge, JPW Pluim
Medical Imaging 2019: Image Processing 10949, 109491C, 2019
92019
Decision fusion for temporal prediction of respiratory liver motion
C Tanner, K Eppenhof, J Gelderblom, G Székely
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 698-701, 2014
92014
Inferring a third spatial dimension from 2D histological images
MW Lafarge, JPW Pluim, KAJ Eppenhof, P Moeskops, M Veta
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
22018
PO-1624: Fast contour propagation for MR-guided prostate radiotherapy using convolutional networks
KA Eppenhof, M Maspero, MH Savenije, HC De Boer, JRVV van Zyp, ...
Radiotherapy and Oncology 152, S887-S888, 2020
2020
Supervised deformable image registration using deep neural networks
KAJ Eppenhof
2020
Fast contour propagation for MR-guided prostate radiotherapy using CNNs
KAJ Eppenhof, M Maspero, MHF Savenije, JCJ de Boer, JRNV van Zyp, ...
ESTRO 2020, 2020
2020
Training deep convolutional neural networks for deformable image registration of pulmonary CT images
K Eppenhof, M Lafarge, J Pluim
Workshop on Biomedical Image Registration, 2018
2018
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Artikelen 1–20