| Scalable kernels for graphs with continuous attributes A Feragen, N Kasenburg, J Petersen, M de Bruijne, K Borgwardt Neural Information Processing Systems, NIPS 2013, 2013 | 226 | 2013 |
| Geodesic Exponential Kernels: When Curvature and Linearity Conflict A Feragen, F Lauze, S Hauberg CVPR 2015, 2015 | 173 | 2015 |
| Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes A Mallasto, A Feragen Advances in Neural Information Processing Systems 30, 2017 | 106 | 2017 |
| Towards a theory of statistical tree-shape analysis A Feragen, P Lo, M de Bruijne, M Nielsen, F Lauze IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-1, 2012 | 84 | 2012 |
| Grassmann Averages for Scalable Robust PCA S Hauberg, A Feragen, MJ Black CVPR 2014, 2014 | 76 | 2014 |
| Tree-space statistics and approximations for large-scale analysis of anatomical trees A Feragen, M Owen, J Petersen, MMW Wille, LH Thomsen, A Dirksen, ... Information Processing in Medical Imaging - IPMI 2013, Lecture Notes in …, 2013 | 65 | 2013 |
| Is segmentation uncertainty useful? S Czolbe, K Arnavaz, O Krause, A Feragen Information Processing in Medical Imaging: 27th International Conference …, 2021 | 53 | 2021 |
| Means in spaces of tree-like shapes A Feragen, S Hauberg, M Nielsen, F Lauze 2011 International Conference on Computer Vision, 736-746, 2011 | 51 | 2011 |
| Geometries on spaces of treelike shapes A Feragen, F Lauze, P Lo, M de Bruijne, M Nielsen Asian Conference on Computer Vision, 160-173, 2010 | 48 | 2010 |
| Wrapped Gaussian process regression on Riemannian manifolds A Mallasto, A Feragen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 46 | 2018 |
| Scalable robust principal component analysis using Grassmann averages S Hauberg, A Feragen, R Enficiaud, MJ Black IEEE transactions on pattern analysis and machine intelligence 38 (11), 2298 …, 2015 | 42 | 2015 |
| Populations of unlabelled networks: Graph space geometry and generalized geodesic principal components A Calissano, A Feragen, S Vantini Biometrika 111 (1), 147-170, 2024 | 35* | 2024 |
| Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection E Petersen, A Feragen, ML da Costa Zemsch, A Henriksen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 35 | 2022 |
| Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? A Feragen, S Hauberg Conference on learning theory, 1647-1650, 2016 | 35 | 2016 |
| Semantic similarity metrics for learned image registration S Czolbe, O Krause, A Feragen Medical Imaging with Deep Learning, 105-118, 2021 | 34 | 2021 |
| Probabilistic shortest path tractography in DTI using Gaussian Process ODE solvers M Schober, N Kasenburg, A Feragen, P Hennig, S Hauberg Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 32 | 2014 |
| A hierarchical scheme for geodesic anatomical labeling of airway trees A Feragen, J Petersen, M Owen, P Lo, LH Thomsen, MMW Wille, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012 | 32 | 2012 |
| Geodesic atlas-based labeling of anatomical trees: Application and evaluation on airways extracted from CT A Feragen, J Petersen, M Owen, P Lo, LH Thomsen, MMW Wille, ... IEEE transactions on medical imaging 34 (6), 1212-1226, 2014 | 31 | 2014 |
| Effect of inspiration on airway dimensions measured in maximal inspiration CT images of subjects without airflow limitation J Petersen, MMW Wille, LL Rakêt, A Feragen, JH Pedersen, M Nielsen, ... European radiology 24, 2319-2325, 2014 | 30 | 2014 |
| FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas, CP Langlotz, ... bmj 388, 2025 | 28 | 2025 |
Marleen de BruijneProfessor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of Copenhagen確認したメール アドレス: diku.dk