Martin Lillholm
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
A category system on the shape index descriptor of local image structure induced by natural image statistics
Lillholm, Martin & Griffin, L. D., 2006, I: Perception. 35, Supplement, s. 48-49 2 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
- Udgivet
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, I: Medical Image Analysis. 14, 3, s. 255-264 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
A novel OA efficacy marker: cartilage activity
Jørgensen, D. R., Lillholm, Martin & Dam, E. B., 2013, I: Osteoarthritis and Cartilage. 21, Supplement, s. S21-S22 2 s., 28.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
- Udgivet
A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models
Mysling, P., Petersen, P. K., Nielsen, Mads & Lillholm, Martin, 2013, I: Machine Vision & Applications. 24, 7, s. 1421–1434 14 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Alzheimer's disease diagnostic performance of a multi-atlas hippocampal segmentation method using the harmonized hippocampal protocol
Anker, C., Sørensen, L., Pai, A. S. U., Lyksborg, M., Lillholm, Martin, Conradsen, K., Larsen, R. & Nielsen, Mads, 2014. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
- Udgivet
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, I: Radiology. 304, 1, s. 41-49Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
An evaluation of a novel technique for fully automatic synovitis quantification from pre- and post-contrast wrist MRI
Mysling, P., Dam, E., Zaim, S., Genant, H., Fuerst, T. & Lillholm, Martin, 2012, I: Annals of the Rheumatic Diseases. 71, Supplement 3, s. 303-304 2 s., THU0439.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture
Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, I: Radiology. 308, 2, 8 s., e230227.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Assessing breast cancer masking risk in full field digital mammography with automated texture analysis
Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, 7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, s. 109 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- Udgivet
Assessing breast cancer masking risk with automated texture analysis in full field digital mammography
Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Petersen, K., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, Breast Imaging and Interventional. Radiological Society of North America, Inc, s. 218 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- Udgivet
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, I: Insights into Imaging. 6, 1, Supplement, 1 s., B-0212.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Automatic analysis of trabecular bone structure from knee MRI
Marques, J., Granlund, R., Lillholm, Martin, Pettersen, P. C. & Dam, E. B., 2012, I: Computers in Biology and Medicine. 42, 7, s. 735-742 8 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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. (red.). SPIE - International Society for Optical Engineering, 6 s. 86692U. (Progress in Biomedical Optics and Imaging; Nr. 36, Bind 14).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Automatic quantification of tibio-femoral contact area and congruity
Tummala, S., Nielsen, Mads, Lillholm, Martin, Christiansen, C. & Dam, Erik Bjørnager, 2012, I: I E E E Transactions on Medical Imaging. 31, 7, s. 1404-1412 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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, I: SPIE Journal of Medical Imaging. 2, 2, 13 s., 024001.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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. (red.). Springer, s. 10-17 8 s. (Lecture notes in computer science, Bind 7009).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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. (red.). Springer, s. 343-355 13 s. (Lecture notes in computer science, Bind 5567).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Breast density and risk of breast cancer
Lynge, Elsebeth, Vejborg, I., Lillholm, Martin, Nielsen, Mads, Napolitano, George & von Euler-Chelpin, My Catarina, 2023, I: International Journal of Cancer. 152, 6, s. 1150-1158 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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. (red.). Springer Science+Business Media, s. 88-94 7 s. (Lecture notes in computer science, Bind 8539).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Brownian Images: a generic background model
Steenstrup Pedersen, Kim & Lillholm, Martin, 2004, Proceedings of the ECCV'04 Workshop on Statistical Learning in Computer Vision.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Change in mammographic density across birth cohorts of Dutch breast cancer screening participants
Napolitano, George, Lynge, Elsebeth, Lillholm, Martin, Vejborg, I. M. M., van Gils, C. H., Nielsen, Mads & Karssemeijer, N., 2019, I: International Journal of Cancer. 145, 11, s. 2954-2962 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Classifying local image symmetry using a co-localised family of linear filters
Griffin, L. D. & Lillholm, Martin, 2008, I: Perception. 37, Supplement, s. 122-122 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
- Udgivet
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 nr. A61B-005/00, Patentnr. US2014357978-A1, 4 dec. 2014, Prioritetsdato 4 jun. 2013, Prioritetsnr. US909666Publikation: Patent
- Udgivet
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, Prioritetsdato 4 dec. 2014Publikation: Patent
- Udgivet
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, s. 402-405 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
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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
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Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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