Martin Lillholm

Martin Lillholm

Professor

Machine Learning
Universitetsparken 1
2100 København Ø
- grumse@di.ku.dk
- https://di.ku.dk/english/research/machine-learning/
Phone: +4535334903Mobile: +4526207441

ORCID: 0000-0002-1402-6899

All
Research

Publication year:

All

1 - 1 out of 1Page size: 100

10
25
50
100
500

Sort by: Title

Published
Impact of adding breast density to breast cancer risk models: A systematic review
Vilmun, B. M., Vejborg, I., Lynge, E., Lillholm, Martin, Nielsen, Mads, Nielsen, Michael Bachmann & Carlsen, Jonathan Frederik, Jun 2020, In: European Journal of Radiology. 127, 9 p., 109019.
Research output: Contribution to journal › Review › Research › peer-review

ID: 152298477

Most downloads

1637 downloads
Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
Research output: Contribution to journal › Journal article › Research › peer-review
Published
639 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
353 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