Mads Nielsen
Cited by
Cited by
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
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
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
Gaussian scale-space theory
J Sporring, M Nielsen, L Florack, P Johansen
Springer Science & Business Media, 2013
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
Regularization, scale-space, and edge detection filters
M Nielsen, L Florack, R Deriche
Journal of Mathematical Imaging and Vision 7 (4), 291-307, 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 (4), R115, 2009
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
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
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
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
Feature-based image analysis
M Lillholm, M Nielsen, LD Griffin
International Journal of Computer Vision 52 (2-3), 73-95, 2003
Image segmentation by shape particle filtering
M de Bruijne, M Nielsen
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
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
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, 2015
Non-rigid registration by geometry-constrained diffusion
PR Andresen, M Nielsen
Medical Image Analysis 5 (2), 81-88, 2001
Shape particle filtering for image segmentation
M De Bruijne, M Nielsen
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004, 168-175, 2004
Scale-Space Theorics in Computer Vision, Lecture Notes in Computer Science, Vol. 1682
M Nielsen, P Johansen, OF Olsen
Springer, 1999
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