Martin Lillholm
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
ORCID: 0000-0002-1402-6899
76 - 80 out of 80Page size: 25
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Maximum a posteriori estimation of linear shape variation with application to vertebra and cartilage modeling
Crimi, A., Lillholm, Martin, Nielsen, Mads, Ghosh, A., de Bruijne, Marleen, Dam, E. B. & Sporring, Jon, 2011, In: IEEE Transactions on Medical Imaging. 30, 8, p. 1514-1526 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Prior knowledge regularization in statistical medical image tasks
Crimi, A., Sporring, Jon, de Bruijne, Marleen, Lillholm, Martin & Nielsen, Mads, 2009, Proceedings of the MICCAI Workshop on Probabilistic Models for Medical Image Analysis. 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Shape-based assessment of vertebral fracture risk in postmenopausal women using discriminative shape alignment
Crimi, A., Loog, M., de Bruijne, Marleen, Nielsen, Mads & Lillholm, Martin, 2012, In: Academic Radiology. 19, 4, p. 446-454 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Two dimensional shape representation manipulation method for improving general procrustes alignment process, involves relating probable relative depth of landmark in three dimensional shape of body part
Chernoff, K., Nielsen, Mads & Lillholm, Martin, 2010, IPC No. G06T-007/00, Patent No. WO2010142595-A1, 16 Dec 2010, Priority date 11 Jun 2009, Priority No. US268370Research output: Patent
- Published
Alzheimer's disease diagnostic performance of a multi-atlas hippocampal segmentation method using the harmonized hippocampal protocol
Anker, C., Sørensen, L., Pai, A. S. U., Lyksborg, M., Lillholm, Martin, Conradsen, K., Larsen, R. & Nielsen, Mads, 2014. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
ID: 152298477
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Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
Research output: Contribution to journal › Journal article › Research › peer-review
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627
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Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study
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339
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Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Research output: Contribution to journal › Journal article › Research › peer-review
Published