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Aasa Feragen
Aasa Feragen
Professor, DTU Compute
Verified email at dtu.dk - Homepage
Title
Cited by
Cited by
Year
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
2212013
Geodesic Exponential Kernels: When Curvature and Linearity Conflict
A Feragen, F Lauze, S Hauberg
CVPR 2015, 2015
1672015
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
A Mallasto, A Feragen
Advances in Neural Information Processing Systems 30, 2017
942017
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
822012
Grassmann Averages for Scalable Robust PCA
S Hauberg, A Feragen, MJ Black
CVPR 2014, 2014
752014
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
612013
Means in spaces of tree-like shapes
A Feragen, S Hauberg, M Nielsen, F Lauze
2011 International Conference on Computer Vision, 736-746, 2011
502011
Geometries on spaces of treelike shapes
A Feragen, F Lauze, P Lo, M de Bruijne, M Nielsen
Computer Vision–ACCV 2010: 10th Asian Conference on Computer Vision …, 2011
482011
Is segmentation uncertainty useful?
S Czolbe, K Arnavaz, O Krause, A Feragen
Information Processing in Medical Imaging: 27th International Conference …, 2021
462021
Wrapped Gaussian process regression on Riemannian manifolds
A Mallasto, A Feragen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
422018
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
412015
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
332016
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
322014
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
322012
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
302014
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
292022
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
272014
Semantic similarity metrics for learned image registration
S Czolbe, O Krause, A Feragen
Medical Imaging with Deep Learning, 105-118, 2021
232021
Populations of unlabeled networks: Graph space geometry and geodesic principal components
A Calissano, A Feragen, S Vantini
MOX report, 2020
232020
The path toward equal performance in medical machine learning
E Petersen, S Holm, M Ganz, A Feragen
Patterns 4 (7), 2023
212023
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