Martin Lillholm
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
ORCID: 0000-0002-1402-6899
1 - 1 out of 1Page size: 10
- 2024
- Published
Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer
Lauritzen, Andreas, Lillholm, Martin, Lynge, Elsebeth, Nielsen, Mads, Karssemeijer, N. & Vejborg, I., 2024, In: Radiology. 311, 3, 9 p., e232479.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 152298477
Most downloads
-
1632
downloads
Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
634
downloads
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 -
347
downloads
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