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

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An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload
Lauritzen, Andreas, Rodríguez-Ruiz, A., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2022, In: Radiology. 304, 1, 9 p.
Research output: Contribution to journal › Journal article › Research › peer-review
Published
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk
Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I. M. M., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2022, arXiv.org, 30 p.
Research output: Working paper › Preprint › Research

ID: 152298477

Most downloads

1580 downloads
Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
Research output: Contribution to journal › Journal article › Research › peer-review
Published
580 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
309 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