| Pulmonary CT registration through supervised learning with convolutional neural networks KAJ Eppenhof, JPW Pluim IEEE transactions on medical imaging 38 (5), 1097-1105, 2018 | 177 | 2018 |
| Roto-translation covariant convolutional networks for medical image analysis EJ Bekkers, MW Lafarge, M Veta, KAJ Eppenhof, JPW Pluim, R Duits Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 177 | 2018 |
| 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 | 167 | 2017 |
| 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 | 135 | 2017 |
| Deformable image registration using convolutional neural networks KAJ Eppenhof, MW Lafarge, P Moeskops, M Veta, JPW Pluim Medical Imaging 2018: Image Processing 10574, 192-197, 2018 | 116 | 2018 |
| 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 | 68 | 2018 |
| 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 | 54 | 2019 |
| Learning domain-invariant representations of histological images MW Lafarge, JPW Pluim, KAJ Eppenhof, M Veta Frontiers in medicine 6, 162, 2019 | 46 | 2019 |
| 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 | 40 | 2020 |
| 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 | 38 | 2016 |
| Brain-inspired algorithms for retinal image analysis BM ter Haar Romeny, EJ Bekkers, J Zhang, S Abbasi-Sureshjani, ... Machine Vision and Applications 27, 1117-1135, 2016 | 35 | 2016 |
| Supervised local error estimation for nonlinear image registration using convolutional neural networks KAJ Eppenhof, JPW Pluim Medical Imaging 2017: Image Processing 10133, 526-531, 2017 | 19 | 2017 |
| Retinal artery/vein classification via graph cut optimization KAJ Eppenhof, EJ Bekkers, TTJM Berendschot, JPW Pluim, ... 2015 Ophthalmic Medical Image Analysis Second International Workshop (OMIA …, 2015 | 15 | 2015 |
| Progressively growing convolutional networks for end-to-end deformable image registration KAJ Eppenhof, MW Lafarge, JPW Pluim Medical Imaging 2019: Image Processing 10949, 338-344, 2019 | 14 | 2019 |
| 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 | 14 | 2014 |
| 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 | 2 | 2018 |
| 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, ... | | 2020 |
| Training deep convolutional neural networks for deformable image registration of pulmonary CT images K Eppenhof, M Lafarge, J Pluim | | 2018 |
Josien PluimProfessor of Medical Image Analysis, Eindhoven University of Technology / UMC UtrechtVerified email at tue.nl
