Martin Lillholm
Viceinstitutleder
Machine Learning
Universitetsparken 5, 2100 København Ø
- 2011
- Udgivet
Automatic segmentation of vertebrae from radiographs : a sample-driven active shape model approach. / Mysling, Peter; Petersen, Peter Kersten; Nielsen, Mads; Lillholm, Martin.
Machine Learning in Medical Imaging: Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings. red. / Kenji Suzuki; Fei Wang; Dinggang Shen; Pingkun Yan. Springer, 2011. s. 10-17 (Lecture notes in computer science, Bind 7009).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Finding discriminative regions that optimally separate healthy and osteoarthritis knees. / Jørgensen, Dan Richter; Lillholm, Martin; Dam, E. B.
I: Osteoarthritis and Cartilage, Bind 19, Nr. Supplement 1, 414, 2011, s. S192.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Maximum a posteriori estimation of linear shape variation with application to vertebra and cartilage modeling. / Crimi, Alessandro; Lillholm, Martin; Nielsen, Mads; Ghosh, Anarta; de Bruijne, Marleen; Dam, Erik B.; Sporring, Jon.
I: IEEE transactions on medical imaging, Bind 30, Nr. 8, 2011, s. 1514-1526.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Method for analyzing magnetic resonance imaging (MRI) image of bone to identify e.g. osteoarthritis, involves combining features of textural information within region of interest (ROI) to estimate level of disease. / Dam, Erik B. (Opfinder); Granlund, Rabia Line (Opfinder); Lillholm, Martin (Opfinder).
IPC nr.: G06T-007/00. Patentnummer: WO2011151242-A1. dec. 08, 2011.Publikation: Patent
- Udgivet
Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal Women. / Lillholm, Martin; Ghosh, A.; Pettersen, P. C.; de Bruijne, Marleen; Dam, E. B.; Karsdal, M. A.; Christiansen, C.; Genant, H. K.; Nielsen, Mads.
I: Osteoporosis International, Bind 22, Nr. 7, 2011, s. 2119-2128.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 152298477
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Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
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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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Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
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