Mads Nielsen
Professor
Pioneer AI (P1AI)
Øster Voldgade 3
1350 København K
- 2014
- Published
Computer based method for determining the size of an objects in an image
Pai, A. S. U., Sørensen, L., Dam, E. B., Lillholm, Martin & Nielsen, Mads, 4 Dec 2014, Priority date 4 Dec 2014Research output: Patent
- Published
Stepwise inverse consistent Euler’s scheme for diffeomorphic image registration
Pai, A. S. U., Sommer, Stefan Horst, Darkner, Sune, Sørensen, L., Sporring, Jon & Nielsen, Mads, 2014, Biomedical Image Registration: 6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings. Ourselin, S. & Modat, M. (eds.). Springer, p. 223-230 8 p. (Lecture notes in computer science, Vol. 8545).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
White matter hypointensity growth rate correlates with rate of brain atrophy
Pai, A. S. U., Sørensen, L., Darkner, Sune, Sporring, Jon, Rostrup, E. & Nielsen, Mads, 2014, In: Alzheimer's & Dementia. 10, 4, Supplement, p. P75-P76 2 p., IC-P-131.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
White matter hypointensity growth rate correlates with rate of brain atrophy
Pai, A. S. U., Sørensen, L., Darkner, Sune, Sporring, Jon, Rostrup, E. & Nielsen, Mads, 2014, In: Alzheimer's & Dementia. 10, 4, Supplement, p. P414 1 p., P1-285.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Effect of inspiration on airway dimensions measured in maximal inspiration CT images of subjects without airflow limitation
Petersen, Jens, Wille, M. M. W., Raket, L. L., Feragen, A., Pedersen, J. H., Nielsen, Mads, Dirksen, A. & de Bruijne, Marleen, 2014, In: European Radiology. 24, 9, p. 2319-2325 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease
Petersen, Jens, Nielsen, Mads, Lo, P. C. P., Nordenmark, L. H., Pedersen, J. J. H., Wille, M. M. W., Dirksen, A. & de Bruijne, Marleen, 2014, In: Medical Image Analysis. 18, 3, p. 531-541 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Breast tissue segmentation and mammographic risk scoring using deep learning
Petersen, P. K., Nielsen, Mads, Diao, P., Karssemeijer, N. & Lillholm, Martin, 2014, Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. Fujita, H., Hara, T. & Muramatsu, C. (eds.). Springer Science+Business Media, p. 88-94 7 p. (Lecture notes in computer science, Vol. 8539).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Persistent hippocampal predominant atrophy in pre dementia as a marker for slower functional decline
Pillai, J., Pai, A. S. U., Sørensen, L. & Nielsen, Mads, 2014, In: Alzheimer's & Dementia. 10, 4, Supplement, p. P538-P539 2 p., P2-186.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Persistent hippocampal predominant atrophy in pre dementia as a marker for slower functional decline
Pillai, J., Pai, A. S. U., Sørensen, L. & Nielsen, Mads, 2014, In: Alzheimer's & Dementia. 10, 4, Supplement, p. P34-P35 2 p., IC-P-061.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Optimization over geodesics for exact principal geodesic analysis
Sommer, Stefan Horst, Lauze, Francois Bernard & Nielsen, Mads, 2014, In: Advances in Computational Mathematics. 40, 2, p. 283-313 31 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 542361
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Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI
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Smoothing images creates corners
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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
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