Martin Lillholm

Martin Lillholm

Deputy head of department


  1. What do features tell about images?

    Nielsen, Mads & Lillholm, Martin, 2001, Scale-Space and Morphology in Computer Vision: Third International Conference, Scale-Space 2001 Vancouver, Canada, July 7–8, 2001 Proceedings. Kerckhove, M. (ed.). Springer, p. 39-50 12 p. (Lecture notes in computer science, Vol. 2106).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  2. Published

    Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal Women

    Lillholm, Martin, Ghosh, A., Pettersen, P. C., de Bruijne, Marleen, Dam, E. B., Karsdal, M. A., Christiansen, C., Genant, H. K. & Nielsen, Mads, 2011, In: Osteoporosis International. 22, 7, p. 2119-2128 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring

    Kallenberg, M. G. J., Petersen, P. K., Nielsen, Mads, Ng, A. Y., Diao, Pengfei, Igel, Christian, Vachon, C. M., Holland, K., Winkel, R. R., Karssemeijer, N. & Lillholm, Martin, 2016, In: IEEE Transactions on Medical Imaging. 35, 5, p. 1322-1331 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Two dimensional shape representation manipulation method for improving general procrustes alignment process, involves relating probable relative depth of landmark in three dimensional shape of body part

    Chernoff, K., Nielsen, Mads & Lillholm, Martin, 2010, IPC No. G06T-007/00, Patent No. WO2010142595-A1, 16 Dec 2010, Priority date 11 Jun 2009, Priority No. US268370

    Research output: Patent

  5. Published

    The combined effect of mammographic texture and density on breast cancer risk: a cohort study

    Wanders, J. O. P., van Gils, C. H., Karssemeijer, N., Holland, K., Kallenberg, M., Peeters, P. H. M., Nielsen, Mads & Lillholm, Martin, 2018, In: Breast Cancer Research. 20, 10 p., 36.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Symmetry sensitivities of derivative-of-gaussian filters

    Griffin, L. D. & Lillholm, Martin, 2010, In: I E E E Transactions on Pattern Analysis and Machine Intelligence. 32, 6, p. 1072-1083 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Statistics and category systems for the shape index descriptor of local 2nd order natural image structure

    Lillholm, Martin & Griffin, L. D., 2009, In: Image and Vision Computing. 27, 6, p. 771-781 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Single stroke gaze gestures

    Mollenbach, E., Hansen, J. P., Lillholm, Martin & Gale, A., 2009, CHI '09 Extended Abstracts on Human Factors in Computing Systems. Association for Computing Machinery, p. 4555-4560 6 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Single gaze gestures

    Møllenbach, E., Lillholm, Martin, Gail, A. & Hansen, J. P., 2010, Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications. Association for Computing Machinery, p. 177-180 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Shape-based assessment of vertebral fracture risk in postmenopausal women using discriminative shape alignment

    Crimi, A., Loog, M., de Bruijne, Marleen, Nielsen, Mads & Lillholm, Martin, 2012, In: Academic Radiology. 19, 4, p. 446-454 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

    Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in Denmark

    von Euler-Chelpin, My Catarina, Lillholm, Martin, Vejborg, I., Nielsen, Mads & Lynge, Elsebeth, 2019, In: Breast Cancer Research. 21, 1

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

    Screening mammography: benefit of double reading by breast density

    von Euler-Chelpin, My Catarina, Lillholm, Martin, Napolitano, George, Vejborg, I., Nielsen, Mads & Lynge, Elsebeth, 2018, In: Breast Cancer Research and Treatment. 171, 3, p. 767-776 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Scale Space Methods in Computer Vision: 4th International Conference, Scale-Space 2003, Isle of Skye, UK, June 10-12, 2003, Proceedings

    Griffin, L. D. (ed.) & Lillholm, Martin (ed.), 2003, Springer. (Lecture notes in computer science, Vol. 2695).

    Research output: Book/ReportBookResearchpeer-review

  14. Published

    Risk stratification of women with false-positive test results in mammography screening based on mammographic morphology and density: a case control study

    Winkel, R. R., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Diao, Pengfei, Lillholm, Martin, Kallenberg, M., Forman, Julie Lyng, Nielsen, Michael Bachmann, Uldall, W. Y., Nielsen, Mads & Vejborg, I. M. M., Aug 2017, In: Cancer Epidemiology. 49, p. 53-60 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  15. Published

    Quaternions, interpolation and animation

    Dam, E., Koch, M. & Lillholm, Martin, 1998, Datalogisk Institut, Københavns Universitet, 103 p. (DIKU teknisk rapport; No. 5, Vol. 98).

    Research output: Working paperResearch

  16. Published

    Prior knowledge regularization in statistical medical image tasks

    Crimi, A., Sporring, Jon, de Bruijne, Marleen, Lillholm, Martin & Nielsen, Mads, 2009, Proceedings of the MICCAI Workshop on Probabilistic Models for Medical Image Analysis. 12 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  17. Published

    Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps

    Jørgensen, D. R., Dam, Erik Bjørnager & Lillholm, Martin, 2013, In: Computers in Biology and Medicine. 43, 8, p. 1045-1052 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  18. Published

    On subregional analysis of cartilage loss from knee MRI

    Jørgensen, D. R., Lillholm, Martin, Genant, H. K. & Dam, Erik Bjørnager, 2013, In: Cartilage. 4, 2, p. 121-130 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  19. On spatial metamerism in computational vision

    Lillholm, Martin, 2004, IT-Universitetet i København. 113 p.

    Research output: Book/ReportPh.D. thesisResearch

  20. On image reconstruction from multiscale top points

    Kanters, F., Lillholm, Martin, Duits, R., Janssen, B., Platel, B., Florack, L. & ter Haar Romeny, B., 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. 431-442 12 p. (Lecture notes in computer science, Vol. 3459).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  21. Novel image feature alphabets for object recognition

    Lillholm, Martin & Griffin, L., 2008, 19th International Conference on Pattern Recognition, 2008: ICPR 2008.. IEEE, 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  22. Natural image profiles are most likely to be step edges

    Griffin, L. D., Lillholm, Martin & Nielsen, Mads, 2004, In: Vision Research. 44, 4, p. 407-421 15 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  23. Mode estimation using pessimistic scale space tracking

    Griffin, L. D. & Lillholm, Martin, 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. 266-280 15 p. (Lecture notes in computer science, Vol. 2695).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  24. Published

    Method for identifying region of interest (ROI) in human organ for performing e.g. knee cartilage quantification, involves calculating weight of feature of image in map for minimizing sample size needed to discriminate between groups

    Dam, E. B., Nielsen, Mads, Qazi, A. A., Lillholm, Martin & Jørgensen, D. R., 2010, IPC No. G06K-009/00, Patent No. US2010232671-A1, 16 Sep 2010, Priority date 17 Dec 2008, Priority No. US203094P

    Research output: Patent

  25. 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

  26. 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 proceedingBook chapterResearchpeer-review

  27. 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 journalJournal articleResearchpeer-review

  28. Published

    Mammographic texture resemblance generalizes as an independent risk factor for breast cancer

    Nielsen, Mads, Vachon, C. M., Scott, C. G., Chernoff, K., Karemore, Gopal, Karssemeijer, N., Lillholm, Martin & Karsdal, M., 2014, In: Breast Cancer Research (Online Edition). 16, 2, 8 p., R37.

    Research output: Contribution to journalJournal articleResearchpeer-review

  29. 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 journalJournal articleResearchpeer-review

  30. 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 journalConference abstract in journalResearchpeer-review

  31. 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 journalConference abstract in journalResearchpeer-review

  32. 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 journalJournal articleResearchpeer-review

  33. 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 proceedingArticle in proceedingsResearchpeer-review

  34. 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 journalConference abstract in journalResearch

  35. 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 proceedingArticle in proceedingsResearchpeer-review

  36. 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 journalConference abstract in journalResearch

  37. 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, J. F., Jun 2020, In: European Journal of Radiology. 127, 9 p., 109019.

    Research output: Contribution to journalReviewResearchpeer-review

  38. 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 proceedingArticle in proceedingsResearchpeer-review

  39. 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 journalJournal articleResearchpeer-review

  40. 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 conferenceConference abstract for conferenceResearchpeer-review

  41. 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 proceedingArticle in proceedingsResearchpeer-review

  42. 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 conferenceConference abstract for conferenceResearchpeer-review

  43. 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 journalConference abstract in journalResearchpeer-review

  44. 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 journalJournal articleResearchpeer-review

  45. 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 proceedingArticle in proceedingsResearchpeer-review

  46. 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 journalJournal articleResearchpeer-review

  47. 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 journalConference abstract in journalResearch

  48. 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 conferenceConference abstract for conferenceResearchpeer-review

  49. Published

    Differential diagnosis of mild cognitive impairment and Alzheimer’s disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry

    Sørensen, L., Igel, Christian, Pai, A. S. U., Balas, I., Anker, C., Lillholm, Martin & Nielsen, Mads, 2017, In: NeuroImage: Clinical. 13, p. 470-482 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  50. Published

    Diagnosis of osteoarthritis and prognosis of tibial cartilage loss by quantification of tibia trabecular bone from MRI

    Marques, J., Genant, H. K., Lillholm, Martin & Dam, Erik Bjørnager, 2013, In: Magnetic Resonance in Medicine. 70, 2, p. 568-575 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

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