| Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores J Zhang, B Dashtbozorg, E Bekkers, JPW Pluim, R Duits, ... IEEE transactions on medical imaging 35 (12), 2631-2644, 2016 | 438 | 2016 |
| Geometric and physical quantities improve e (3) equivariant message passing J Brandstetter, R Hesselink, E van der Pol, EJ Bekkers, M Welling International Conference on Learning Representations (ICLR 2021), 2021 | 236 | 2021 |
| 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 | 214 | 2018 |
| B-Spline CNNs on Lie groups EJ Bekkers International Conference on Learning Representations (ICLR 2019), 2019 | 156 | 2019 |
| A multi-orientation analysis approach to retinal vessel tracking E Bekkers, R Duits, T Berendschot, B ter Haar Romeny Journal of Mathematical Imaging and Vision 49, 583-610, 2014 | 155 | 2014 |
| Ckconv: Continuous kernel convolution for sequential data DW Romero, A Kuzina, EJ Bekkers, JM Tomczak, M Hoogendoorn arXiv preprint arXiv:2102.02611, 2021 | 146 | 2021 |
| Retinal vessel delineation using a brain-inspired wavelet transform and random forest J Zhang, Y Chen, E Bekkers, M Wang, B Dashtbozorg, ... Pattern Recognition 69, 107-123, 2017 | 128 | 2017 |
| Artificial intelligence for science in quantum, atomistic, and continuum systems X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423, 2023 | 125 | 2023 |
| Attentive group equivariant convolutional networks D Romero, E Bekkers, J Tomczak, M Hoogendoorn International Conference on Machine Learning, 8188-8199, 2020 | 101 | 2020 |
| Flexconv: Continuous kernel convolutions with differentiable kernel sizes DW Romero, RJ Bruintjes, JM Tomczak, EJ Bekkers, M Hoogendoorn, ... arXiv preprint arXiv:2110.08059, 2021 | 99 | 2021 |
| Roto-translation equivariant convolutional networks: Application to histopathology image analysis MW Lafarge, EJ Bekkers, JPW Pluim, R Duits, M Veta Medical Image Analysis 68, 101849, 2021 | 91 | 2021 |
| Reliability of using retinal vascular fractal dimension as a biomarker in the diabetic retinopathy detection F Huang, B Dashtbozorg, J Zhang, E Bekkers, S Abbasi-Sureshjani, ... Journal of ophthalmology 2016 (1), 6259047, 2016 | 87 | 2016 |
| A PDE Approach to Data-Driven Sub-Riemannian Geodesics in (2) EJ Bekkers, R Duits, A Mashtakov, GR Sanguinetti SIAM Journal on Imaging Sciences 8 (4), 2740-2770, 2015 | 84 | 2015 |
| PDE-based group equivariant convolutional neural networks BMN Smets, J Portegies, EJ Bekkers, R Duits Journal of Mathematical Imaging and Vision 65 (1), 209-239, 2023 | 65 | 2023 |
| Automatic detection of vascular bifurcations and crossings in retinal images using orientation scores S Abbasi-Sureshjani, I Smit-Ockeloen, E Bekkers, B Dashtbozorg, ... 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 189-192, 2016 | 63 | 2016 |
| Crossing-preserving multi-scale vesselness J Hannink, R Duits, E Bekkers Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 58* | 2014 |
| Exploiting redundancy: Separable group convolutional networks on lie groups DM Knigge, DW Romero, EJ Bekkers International Conference on Machine Learning, 11359-11386, 2022 | 37 | 2022 |
| Tracking of Lines in Spherical Images via Sub-Riemannian Geodesics in A Mashtakov, R Duits, Y Sachkov, EJ Bekkers, I Beschastnyi Journal of mathematical imaging and vision 58, 239-264, 2017 | 35 | 2017 |
| 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 |
| Curvature based biomarkers for diabetic retinopathy via exponential curve fits in SE (2) EJ Bekkers, J Zhang, R Duits, BM ter Haar Romeny Proceedings of the Ophthalmic Medical Image Analysis: Third International …, 2015 | 35 | 2015 |