Martin Lillholm
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
ORCID: 0000-0002-1402-6899
1 - 2 out of 2Page size: 10
- 2019
- Published
Change in mammographic density across birth cohorts of Dutch breast cancer screening participants
Napolitano, George, Lynge, Elsebeth, Lillholm, Martin, Vejborg, I. M. M., van Gils, C. H., Nielsen, Mads & Karssemeijer, N., 2019, In: International Journal of Cancer. 145, 11, p. 2954-2962 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in Denmark
von Euler-Chelpin, My Catarina, Lillholm, Martin, Vejborg, I., Nielsen, Mads & Lynge, Elsebeth, 2019, In: Breast Cancer Research. 21, 1Research output: Contribution to journal › Journal article › Research › peer-review
ID: 152298477
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1633
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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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638
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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
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
352
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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