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Project publications
Aasa Feragen, François Lauze, Søren Hauberg: Geodesic Exponential Kernels: When Curvature and Linearity Conflict, Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Boston, USA. June 2015.
Søren Hauberg, Michael Schober, Matthew Liptrot, Philipp Hennig, and Aasa Feragen: A Random Riemannian Metric for Probabilistic Shortest-Path Tractography, Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2015, Munich, Germany, September 2015.
Aasa Feragen, Jens Petersen, Megan Owen,Pechin Lo, Laura Hohwü Thomsen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne: Geodesic atlas-based labeling of anatomical trees: application and evaluation on airways extracted from CT, IEEE Transactions on Medical Imaging, Vol. 34, No. 6, 2015, p. 1212-1226.
Søren Hauberg, Aasa Feragen, Michael J. Black:Grassmann averages for scalable robust PCA, IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, 2014, p. 3810-3817.
Aasa Feragen, Stephan Huckemann, J.S. Marron, Ezra Miller: Asymptotic statistics on stratified spaces : mini-workshop (editorial), Mathematisches Forschungsinstitut Oberwolfach, 2014.
Aasa Feragen, Mads Nielsen, Eva B. Vedel Jensen, Andrew du Plessis, François Lauze, François: Geometry and statistics: Manifolds and stratified spaces (editorial), Journal of Mathematical Imaging and Vision, Vol. 50, No. 1-2, 2014, p. 1-4.
Jens Petersen, Mathilde Marie Winkler Wille, Lars Lau Raket, Aasa Feragen, Jesper H. Pedersen, Mads Nielsen, Asger Dirksen, Marleen de Bruijne: Effect of inspiration on airway dimensions measured in maximal inspiration CT images of subjects without airflow limitation, European Radiology, Vol. 24, No. 9, 2014, p. 2319-2325.
Michael Schober, Niklas Kasenburg, Aasa Feragen, Philipp Hennig, Philipp, Søren Hauberg: Probabilistic shortest path tractography in DTI using Gaussian process ODE solvers, 17th International Conference on Medical image computing and computer-assisted intervention (MICCAI 2014), Lecture Notes in Computer Science, Vol. 8675, p. 265-272, 2014.
Veronika Cheplygina, David M.J. Tax, Marco Loog, Aasa Feragen: Network-guided group feature selection for classification of autism spectrum disorder, 5th International Workshop on machine learning in medical imaging (MLMI 2014), Held in Conjunction with MICCAI 2014, Lecture Notes in Computer Science.
A. Feragen, N. Kasenburg, J. Petersen, M. de Bruijne, K. Borgwardt: Scalable kernels for graphs with continuous attributes NIPS 2013. Software
A. Feragen, J. Petersen, D. Grimm, A. Dirksen, J.H. Pedersen, K. Borgwardt, M. de Bruijne: Geometric tree kernels: Classification of COPD from airway tree geometry, 23rd biennial International Conference on Information Processing in Medical Imaging (IPMI), 2013, in press.
A. Feragen, M. Owen, J. Petersen, M.M.W. Wille, L.H. Thomsen, A. Dirksen, M. de Bruijne: Tree-space statistics and approximations for large-scale analysis of anatomical trees, 23rd biennial International Conference on Information Processing in Medical Imaging (IPMI), 2013, in press.
A. Feragen, P. Lo, M. de Bruijne, M. Nielsen, F. Lauze: Towards a theory of statistical tree-shape analysis, IEEE Transactions of Pattern Analysis and Machine Intelligence, in press.
A. Feragen: Complexity of computing distances between geometric trees, International Workshop on Structural and Syntactical Pattern Recognition (S+SSPR2012)
A. Feragen, J. Petersen, M. Owen, P. Lo, L. Hohwu, M.M.W. Wille, A. Dirksen, M. de Bruijne: A hierarchical scheme for geodesic anatomical labeling of airway trees, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2012, 8 pp.
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