| Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network A Prasoon, K Petersen, C Igel, F Lauze, E Dam, M Nielsen International conference on medical image computing and computer-assisted …, 2013 | 841 | 2013 |
| Geodesic exponential kernels: When curvature and linearity conflict A Feragen, F Lauze, S Hauberg Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 165 | 2015 |
| Manifold valued statistics, exact principal geodesic analysis and the effect of linear approximations S Sommer, F Lauze, S Hauberg, M Nielsen Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 131 | 2010 |
| Unscented Kalman filtering on Riemannian manifolds S Hauberg, F Lauze, KS Pedersen Journal of mathematical imaging and vision 46, 103-120, 2013 | 126 | 2013 |
| Adaptive structure tensors and their applications T Brox, R Van Den Boomgaard, F Lauze, J Van De Weijer, J Weickert, ... Visualization and processing of tensor fields, 17-47, 2006 | 126 | 2006 |
| Led-based photometric stereo: Modeling, calibration and numerical solution Y Quéau, B Durix, T Wu, D Cremers, F Lauze, JD Durou Journal of Mathematical Imaging and Vision 60, 313-340, 2018 | 82 | 2018 |
| Toward 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 35 (8), 2008-2021, 2012 | 81 | 2012 |
| The improbability of Harris interest points M Loog, F Lauze IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (6), 1141-1147, 2010 | 72 | 2010 |
| A non-convex variational approach to photometric stereo under inaccurate lighting Y Quéau, T Wu, F Lauze, JD Durou, D Cremers Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 70 | 2017 |
| Sparse multi-scale diffeomorphic registration: the kernel bundle framework S Sommer, F Lauze, M Nielsen, X Pennec Journal of mathematical imaging and vision 46, 292-308, 2013 | 62 | 2013 |
| Optimization over geodesics for exact principal geodesic analysis S Sommer, F Lauze, M Nielsen Advances in Computational Mathematics 40, 283-313, 2014 | 57 | 2014 |
| A multi-scale kernel bundle for LDDMM: Towards sparse deformation description across space and scales S Sommer, M Nielsen, F Lauze, X Pennec Information Processing in Medical Imaging: 22nd International Conference …, 2011 | 57 | 2011 |
| Means in spaces of tree-like shapes A Feragen, S Hauberg, M Nielsen, F Lauze 2011 International Conference on Computer Vision, 736-746, 2011 | 49 | 2011 |
| 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 | 48 | 2011 |
| Deinterlacing using variational methods SH Keller, F Lauze, M Nielsen IEEE Transactions on Image Processing 17 (11), 2015-2028, 2008 | 47 | 2008 |
| Solving uncalibrated photometric stereo using total variation Y Quéau, F Lauze, JD Durou Journal of Mathematical Imaging and Vision 52, 87-107, 2015 | 39 | 2015 |
| Automatic hair detection in the wild P Julian, C Dehais, F Lauze, V Charvillat, A Bartoli, A Choukroun 2010 20th International Conference on Pattern Recognition, 4617-4620, 2010 | 39 | 2010 |
| Multi-hypothesis transform domain Wyner-Ziv video coding including optical flow X Huang, LL Rakêt, H Van Luong, M Nielsen, F Lauze, S Forchhammer 2011 IEEE 13th International Workshop on Multimedia Signal Processing, 1-6, 2011 | 37 | 2011 |
| Video super-resolution using simultaneous motion and intensity calculations SH Keller, F Lauze, M Nielsen IEEE Transactions on Image Processing 20 (7), 1870-1884, 2011 | 34 | 2011 |
| TV-L 1 Optical Flow for Vector Valued Images LL Rakêt, L Roholm, M Nielsen, F Lauze Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th …, 2011 | 32 | 2011 |
Mads NielsenProfessor of Computer Science, University of CopenhagenVerified email at diku.edu
