| 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 | 327 | 2013 |
| Gaussian scale-space theory J Sporring, M Nielsen, LM Florack, P Johansen Kluwer Academic Publishers, 1997 | 266* | 1997 |
| Gaussian scale-space theory J Sporring, M Nielsen, L Florack, P Johansen Springer Science & Business Media, 2013 | 213 | 2013 |
| Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ... NeuroImage 111, 562-579, 2015 | 164 | 2015 |
| Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring M Kallenberg, K Petersen, M Nielsen, AY Ng, P Diao, C Igel, CM Vachon, ... IEEE transactions on medical imaging 35 (5), 1322-1331, 2016 | 150 | 2016 |
| Regularization, scale-space, and edge detection filters M Nielsen, L Florack, R Deriche Journal of Mathematical Imaging and Vision 7 (4), 291-307, 1997 | 118 | 1997 |
| Eye typing using Markov and active appearance models DW Hansen, JP Hansen, M Nielsen, AS Johansen, MB Stegmann Sixth IEEE Workshop on Applications of Computer Vision, 2002.(WACV 2002 …, 2002 | 107 | 2002 |
| Identification of progressors in osteoarthritis by combining biochemical and MRI-based markers EB Dam, M Loog, C Christiansen, I Byrjalsen, J Folkesson, M Nielsen, ... Arthritis research & therapy 11 (4), R115, 2009 | 99 | 2009 |
| Manifold valued statistics, exact principal geodesic analysis and the effect of linear approximations S Sommer, F Lauze, S Hauberg, M Nielsen European conference on computer vision, 43-56, 2010 | 85 | 2010 |
| The intrinsic structure of optic flow incorporating measurement duality L Florack, W Niessen, M Nielsen International Journal of Computer Vision 27 (3), 263-286, 1998 | 83 | 1998 |
| Mass preserving image registration for lung CT V Gorbunova, J Sporring, P Lo, M Loeve, HA Tiddens, M Nielsen, ... Medical image analysis 16 (4), 786-795, 2012 | 71 | 2012 |
| Texture-based analysis of COPD: a data-driven approach L Sorensen, M Nielsen, P Lo, H Ashraf, JH Pedersen, M De Bruijne IEEE transactions on medical imaging 31 (1), 70-78, 2011 | 70 | 2011 |
| Feature-based image analysis M Lillholm, M Nielsen, LD Griffin International Journal of Computer Vision 52 (2-3), 73-95, 2003 | 69 | 2003 |
| Shape particle filtering for image segmentation M De Bruijne, M Nielsen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004, 168-175, 2004 | 65 | 2004 |
| Image segmentation by shape particle filtering M de Bruijne, M Nielsen Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 64 | 2004 |
| Quantitative vertebral morphometry using neighbor-conditional shape models M De Bruijne, MT Lund, LB Tankó, PC Pettersen, M Nielsen Medical Image Analysis 11 (5), 503-512, 2007 | 63 | 2007 |
| Non-rigid registration by geometry-constrained diffusion PR Andresen, M Nielsen Medical Image Analysis 5 (2), 81-88, 2001 | 63 | 2001 |
| Scale-Space Theorics in Computer Vision, Lecture Notes in Computer Science, Vol. 1682 M Nielsen, P Johansen, OF Olsen Springer, 1999 | 59* | 1999 |
| What do features tell about images? M Nielsen, M Lillholm International Conference on Scale-Space Theories in Computer Vision, 39-50, 2001 | 55 | 2001 |
| Regularization and scale space M Nielsen, L Florack, R Deriche | 53 | 1994 |
Francois LauzeAssociate Professor of Mathematical Image Analysis, University of CopenhagenBekræftet mail på diku.edu