Mads Nielsen
TitleCited byYear
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
Gaussian scale-space theory
J Sporring, M Nielsen, LM Florack, P Johansen
Kluwer Academic Publishers, 1997
Gaussian scale-space theory
J Sporring, M Nielsen, L Florack, P Johansen
Springer Science & Business Media, 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
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
Regularization, scale-space, and edge detection filters
M Nielsen, L Florack, R Deriche
Journal of Mathematical Imaging and Vision 7 (4), 291-307, 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
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
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
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
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
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
Feature-based image analysis
M Lillholm, M Nielsen, LD Griffin
International Journal of Computer Vision 52 (2-3), 73-95, 2003
Shape particle filtering for image segmentation
M De Bruijne, M Nielsen
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004, 168-175, 2004
Non-rigid registration by geometry-constrained diffusion
PR Andresen, M Nielsen
Medical Image Analysis 5 (2), 81-88, 2001
Image segmentation by shape particle filtering
M de Bruijne, M Nielsen
Proceedings of the 17th International Conference on Pattern Recognition …, 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
Scale-Space Theorics in Computer Vision, Lecture Notes in Computer Science, Vol. 1682
M Nielsen, P Johansen, OF Olsen
Springer, 1999
What do features tell about images?
M Nielsen, M Lillholm
International Conference on Scale-Space Theories in Computer Vision, 39-50, 2001
Multi-scale gradient magnitude watershed segmentation
OF Olsen, M Nielsen
International Conference on Image Analysis and Processing, 6-13, 1997
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Articles 1–20