Martin Lillholm

Martin Lillholm

Professor

ORCID: 0000-0002-1402-6899

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  1. Method for analyzing magnetic resonance imaging (MRI) image of bone to identify e.g. osteoarthritis, involves combining features of textural information within region of interest (ROI) to estimate level of disease

    Dam, E. B., Granlund, R. L. & Lillholm, Martin, 2011, IPC No. G06T-007/00, Patent No. WO2011151242-A1, 8 Dec 2011, Priority date 1 Jun 2010, Priority No. GB009101

    Research output: Patent

  2. Maximum likelihood metameres for local 2nd order image structure of natural images

    Lillholm, Martin & Griffin, L. D., 2007, Scale Space and Variational Methods in Computer Vision: First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007. Proceedings. Sgallari, F., Murli, A. & Paragios, N. (eds.). Springer, p. 394-405 12 p. (Lecture notes in computer science, Vol. 4485).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  3. Published

    Maximum a posteriori estimation of linear shape variation with application to vertebra and cartilage modeling

    Crimi, A., Lillholm, Martin, Nielsen, Mads, Ghosh, A., de Bruijne, Marleen, Dam, E. B. & Sporring, Jon, 2011, In: IEEE Transactions on Medical Imaging. 30, 8, p. 1514-1526 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. 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

  5. Published

    Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study

    Winkel, R. R., von Euler-Chelpin, My Catarina, Nielsen, Mads, Petersen, P. K., Lillholm, Martin, Nielsen, Michael Bachmann, Lynge, Elsebeth, Uldall, W. Y. & Vejborg, I. M. M., 2016, In: B M C Cancer. 16, 12 p., 414.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. 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

  7. 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

  8. Published

    Linear feature selection in texture analysis - A PLS based method

    Marques, J., Igel, Christian, Lillholm, Martin & Dam, E., 2013, In: Machine Vision & Applications. 24, 7, p. 1435-1444 10 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    Learning density independent texture features

    Kallenberg, M. G. J., Nielsen, Mads, Holland, K., Karssemeijer, N., Igel, Christian & Lillholm, Martin, 2016, Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings. Tingberg, A., Lång, K. & Timberg, P. (eds.). Springer, p. 299-306 8 p. (Lecture notes in computer science, Vol. 9699).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. Larger feature alphabets can improve object recognition even with simpler visual words

    Lillholm, Martin & Griffin, L., 2008, In: Perception. 37, Supplement, p. 33-33 1 p.

    Research output: Contribution to journal › Conference abstract in journal › Research

  11. Jet based feature classification

    Lillholm, Martin & Steenstrup Pedersen, Kim, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004: ICPR 2004. IEEE, p. 787-790 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  12. Published

    Improved Alzheimer's disease diagnostic performance using structural MRI: validation of the MRI combination biomarker that won the CADDementia challenge

    Sørensen, L., Lillholm, Martin, Pai, A. S. U., Balas, I., Anker, C., Igel, Christian & Nielsen, Mads, 2015, In: Insights into Imaging. 6, Supplement 1, 1 p., B-0077.

    Research output: Contribution to journal › Conference abstract in journal › Research

  13. Published

    Impact of adding breast density to breast cancer risk models: A systematic review

    Vilmun, B. M., Vejborg, I., Lynge, E., Lillholm, Martin, Nielsen, Mads, Nielsen, Michael Bachmann & Carlsen, Jonathan Frederik, Jun 2020, In: European Journal of Radiology. 127, 9 p., 109019.

    Research output: Contribution to journal › Review › Research › peer-review

  14. Image features and the 1-D, 2nd order gaussian derivative jet

    Griffin, L. D. & Lillholm, Martin, 2005, Scale Space and PDE Methods in Computer Vision: 5th International Conference, Scale-Space 2005, Hofgeismar, Germany, April 7-9, 2005. Proceedings. Kimmel, R., Sochen, N. A. & Weickert, J. (eds.). Springer, p. 26-37 12 p. (Lecture notes in computer science, Vol. 3459).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  15. Published

    Identifying recurrent breast cancer patients in national health registries using machine learning

    Lauritzen, Andreas, Berg, T., Jensen, M., Lillholm, Martin & Knoop, A., 2023, In: Acta Oncologica. 62, 4, p. 350–357

    Research output: Contribution to journal › Journal article › Research › peer-review

  16. Hypotheses for image features, icons and textons

    Griffin, L. D. & Lillholm, Martin, 2006, In: International Journal of Computer Vision. 70, 3, p. 213-230 18 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  17. Published

    Hippocampus MRI T1 texture's relation to established Alzheimer's disease biomarkers and prediction of progression

    Nielsen, Mads, Sørensen, L., Pai, A. S. U., Igel, Christian & Lillholm, Martin, 2015. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  18. Gaussian scale space from insufficient image information

    Loog, M., Lillholm, Martin, Nielsen, M. & Viergever, M. A., 2003, Scale Space Methods in Computer Vision: 4th International Conference, Scale Space 2003 Isle of Skye, UK, June 10–12, 2003 Proceedings. Griffin, L. D. & Lillholm, M. (eds.). Springer, p. 757-769 (Lecture notes in computer science, Vol. 2695/2003).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  19. Published

    Fully automatic cartilage morphometry for knee MRI from the OAI

    Dam, E., Marques, J., Zaim, S., Fuerst, T., Genant, H., Lillholm, Martin & Nielsen, Mads, 2012. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  20. Published

    Finding discriminative regions that optimally separate healthy and osteoarthritis knees

    Jørgensen, D. R., Lillholm, Martin & Dam, E. B., 2011, In: Osteoarthritis and Cartilage. 19, Supplement 1, p. S192 414.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  21. Feature-based image analysis

    Lillholm, Martin, Nielsen, Mads & Griffin, L. D., 2003, In: International Journal of Computer Vision. 52, 2, p. 73-95 23 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  22. Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise

    Griffin, L. D. & Lillholm, Martin, 2007, Human Vision and Electronic Imaging XII . Rogowitz, B. E., Pappas, T. N. & Daly, S. J. (eds.). SPIE - International Society for Optical Engineering, 11 p. 649209. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 6492).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  23. Published

    Eye movements in gaze interaction

    Møllenbach, E., Paulin Hansen, J. & Lillholm, Martin, 2013, In: Journal of Eye Movement Research. 6, 2, p. 1-15 15 p., 1.

    Research output: Contribution to journal › Journal article › Research › peer-review

  24. Published

    Evaluation of a novel approach for automatic delineation of vertebral contours in radiographs

    Mysling, P., Petersen, P. K., Nielsen, Mads & Lillholm, Martin, 2012, In: Osteoporosis International. 23, Supplement 2, p. S250-S250 1 p., P439.

    Research output: Contribution to journal › Conference abstract in journal › Research

  25. Published

    Evaluation of WBAA with registration-based cube propagation for brain atrophy quantification

    Lillholm, Martin, Pai, A. S. U., Sørensen, L., Nielsen, Mads, Sporring, Jon, Darkner, Sune & Dam, E., 2013. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

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