Martin Lillholm
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- Published
A framework for optimizing measurement weight maps to minimize the required sample size
Qazi, A. A., Jørgensen, D. R., Lillholm, Martin, Loog, M., Nielsen, Mads & Dam, Erik Bjørnager, 2010, In: Medical Image Analysis. 14, 3, p. 255-264 10 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
- Published
Localized cerebral atrophy acceleration during Alzheimer’s disease
Pai, A. S. U., Sørensen, L., Darkner, Sune, Lillholm, Martin, Dam, E. B., Sporring, Jon & Nielsen, Mads, 2013, In: Alzheimer's & Dementia. 9, 4, Supplement, p. P36–P37 2 p., IC-P-059.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Localized cerebral atrophy acceleration during Alzheimer’s disease
Pai, A. S. U., Sørensen, L., Darkner, Sune, Lillholm, Martin, Dam, E. B., Sporring, Jon & Nielsen, Mads, 2013, In: Alzheimer's & Dementia. 9, 4, Supplement, p. P151 1 p., O1-10-06.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Cube propagation for focal brain atrophy estimation
Pai, A. S. U., Sørensen, L., Darkner, Sune, Mysling, P., Jørgensen, D. R., Dam, E. B., Lillholm, Martin, Oh, J., Chen, G., Suhy, J., Sporring, Jon & Nielsen, Mads, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging. IEEE, p. 402-405 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Computer based method for determining the size of an objects in an image
Pai, A. S. U., Sørensen, L., Dam, E. B., Lillholm, Martin & Nielsen, Mads, 4 Dec 2014, Priority date 4 Dec 2014Research output: Patent
- Published
Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease
Pai, A. S. U., Sporring, Jon, Darkner, Sune, Dam, Erik Bjørnager, Lillholm, Martin, Jørgensen, D., Oh, J., Chen, G., Suhy, J., Sørensen, L. & Nielsen, Mads, 2016, In: SPIE Journal of Medical Imaging. 3, 1, 11 p., 014005.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Computer analysis method for analyzing images involves applying algorithm to aligned images to extract quantitative estimate of difference in volume of object shown in second image by calculating change in volume of object
Pai, A. S. U., Sørensen, L., Dam, E., Lillholm, Martin & Nielsen, Mads, 2014, IPC No. A61B-005/00, Patent No. US2014357978-A1, 4 Dec 2014, Priority date 4 Jun 2013, Priority No. US909666Research output: Patent
- Published
Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
Nielsen, Mads, Vachon, C. M., Scott, C. G., Chernoff, K., Karemore, G., Karssemeijer, N., Lillholm, Martin & Karsdal, M., 2014, In: Breast Cancer Research (Online Edition). 16, 2, 8 p., R37.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 152298477
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1628
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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
Published -
629
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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 -
339
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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