Martin Lillholm

Martin Lillholm

Professor


  1. 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 tidsskriftKonferenceabstrakt i tidsskrift

  2. 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 tidsskriftTidsskriftartikelfagfællebedømt

  3. 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 tidsskriftKonferenceabstrakt i tidsskrift

  4. 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 tidsskriftTidsskriftartikelfagfællebedømt

  5. 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: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  6. 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. 41-49

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  7. 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 tidsskriftKonferenceabstrakt i tidsskriftfagfællebedømt

  8. 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 tidsskriftTidsskriftartikelfagfællebedømt

  9. 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/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  10. 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/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  11. 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 tidsskriftKonferenceabstrakt i tidsskriftfagfællebedømt

  12. 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 tidsskriftTidsskriftartikelfagfællebedømt

  13. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  14. 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 tidsskriftTidsskriftartikelfagfællebedømt

  15. 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 tidsskriftTidsskriftartikelfagfællebedømt

  16. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  17. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  18. 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 tidsskriftTidsskriftartikelfagfællebedømt

  19. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  20. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  21. 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 tidsskriftTidsskriftartikelfagfællebedømt

  22. 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 tidsskriftKonferenceabstrakt i tidsskrift

  23. 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. US909666

    Publikation: Patent

  24. 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. 2014

    Publikation: Patent

  25. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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