Martin Lillholm
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- Published
Automated texture scoring for assessing breast cancer masking risk in full field digital mammography
Kallenberg, M. G. J., Petersen, P. K., Lillholm, Martin, Jørgensen, D. R., Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, In: Insights into Imaging. 6, 1, Supplement, 1 p., B-0212.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Automatic analysis of trabecular bone structure from knee MRI
Marques, J., Granlund, R., Lillholm, Martin, Pettersen, P. C. & Dam, E. B., 2012, In: Computers in Biology and Medicine. 42, 7, p. 735-742 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach
Mysling, P., Darkner, Sune, Sporring, Jon, Dam, E. & Lillholm, Martin, 2013, Medical Imaging 2013: Image Processing. Ourselin, S. & Haynor, D. R. (eds.). SPIE - International Society for Optical Engineering, 6 p. 86692U. (Progress in Biomedical Optics and Imaging; No. 36, Vol. 14).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Automatic quantification of tibio-femoral contact area and congruity
Tummala, S., Nielsen, Mads, Lillholm, Martin, Christiansen, C. & Dam, Erik Bjørnager, 2012, In: I E E E Transactions on Medical Imaging. 31, 7, p. 1404-1412 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Dam, Erik Bjørnager, Lillholm, Martin, Marques, J. & Nielsen, Mads, 2015, In: SPIE Journal of Medical Imaging. 2, 2, 13 p., 024001.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Automatic segmentation of vertebrae from radiographs: a sample-driven active shape model approach
Mysling, P., Petersen, P. K., Nielsen, Mads & Lillholm, Martin, 2011, Machine Learning in Medical Imaging: Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings. Suzuki, K., Wang, F., Shen, D. & Yan, P. (eds.). Springer, p. 10-17 8 p. (Lecture notes in computer science, Vol. 7009).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Basic image features (BIFs) arising from approximate symmetry type
Griffin, L. D., Lillholm, Martin, Crosier, M. & van Sande, J., 2009, Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings. Tai, X-C., Mørken, K., Lysaker, M. & Lie, K-A. (eds.). Springer, p. 343-355 13 p. (Lecture notes in computer science, Vol. 5567).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Breast density and risk of breast cancer
Lynge, Elsebeth, Vejborg, I., Lillholm, Martin, Nielsen, Mads, Napolitano, George & von Euler-Chelpin, My Catarina, 2023, In: International Journal of Cancer. 152, 6, p. 1150-1158 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Breast tissue segmentation and mammographic risk scoring using deep learning
Petersen, P. K., Nielsen, Mads, Diao, P., Karssemeijer, N. & Lillholm, Martin, 2014, Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. Fujita, H., Hara, T. & Muramatsu, C. (eds.). Springer Science+Business Media, p. 88-94 7 p. (Lecture notes in computer science, Vol. 8539).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Brownian Images: a generic background model
Steenstrup Pedersen, Kim & Lillholm, Martin, 2004, Proceedings of the ECCV'04 Workshop on Statistical Learning in Computer Vision.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 152298477
Most downloads
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1625
downloads
Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
627
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 -
339
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