| 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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 703 | 2013 |
| 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 | 432 | 2016 |
| 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 | 312 | 2015 |
| Gaussian scale-space theory J Sporring, M Nielsen, LM Florack, P Johansen Kluwer Academic Publishers, 1997 | 308* | 1997 |
| Gaussian scale-space theory J Sporring, M Nielsen, L Florack, P Johansen Springer Science & Business Media, 2013 | 237 | 2013 |
| Early detection of Alzheimer's disease using M RI hippocampal texture L Sørensen, C Igel, N Liv Hansen, M Osler, M Lauritzen, E Rostrup, ... Human brain mapping 37 (3), 1148-1161, 2016 | 181 | 2016 |
| Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry L Sørensen, C Igel, A Pai, I Balas, C Anker, M Lillholm, M Nielsen, ... NeuroImage: Clinical 13, 470-482, 2017 | 137 | 2017 |
| 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 | 135 | 2002 |
| Regularization, scale-space, and edge detection filters M Nielsen, L Florack, R Deriche Journal of Mathematical Imaging and Vision 7, 291-307, 1997 | 134 | 1997 |
| 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, 1-11, 2009 | 129 | 2009 |
| 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 | 119 | 2010 |
| Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative EB Dam, M Lillholm, J Marques, M Nielsen Journal of Medical imaging 2 (2), 024001-024001, 2015 | 111 | 2015 |
| 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 | 111 | 2011 |
| 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 | 95 | 2012 |
| The intrinsic structure of optic flow incorporating measurement duality L Florack, W Niessen, M Nielsen International Journal of Computer Vision 27, 263-286, 1998 | 89 | 1998 |
| Scale-Space Theorics in Computer Vision, Lecture Notes in Computer Science, Vol. 1682 M Nielsen, P Johansen, OF Olsen Springer, 1999 | 83* | 1999 |
| Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling MM Ghazi, M Nielsen, A Pai, MJ Cardoso, M Modat, S Ourselin, ... Medical image analysis 53, 39-46, 2019 | 78 | 2019 |
| Image segmentation by shape particle filtering M de Bruijne, M Nielsen Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 76 | 2004 |
| Feature-based image analysis M Lillholm, M Nielsen, LD Griffin International Journal of Computer Vision 52, 73-95, 2003 | 75 | 2003 |
| Shape particle filtering for image segmentation M De Bruijne, M Nielsen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004, 168-175, 2004 | 73 | 2004 |
Francois LauzeAssociate Professor of Mathematical Image Analysis, University of CopenhagenGeverifieerd e-mailadres voor diku.edu
