Martin Lillholm
Martin Lillholm

Viceinstitutleder


  1. Udgivet

    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. (red.). Springer, s. 299-306 8 s. (Lecture notes in computer science, Bind 9699).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  2. Udgivet

    Linear feature selection in texture analysis - A PLS based method

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    Localized cerebral atrophy acceleration during Alzheimer’s disease

    Pai, Akshay Sadananda Uppinakudru, xfj310, xfj310, Darkner, Sune, Lillholm, Martin, Dam, E. B., Sporring, Jon & Nielsen, Mads, 2013, I : Alzheimer's & Dementia. 9, 4, Supplement, s. P151 1 s., O1-10-06.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  4. Udgivet

    Localized cerebral atrophy acceleration during Alzheimer’s disease

    Pai, Akshay Sadananda Uppinakudru, xfj310, xfj310, Darkner, Sune, Lillholm, Martin, Dam, E. B., Sporring, Jon & Nielsen, Mads, 2013, I : Alzheimer's & Dementia. 9, 4, Supplement, s. P36–P37 2 s., IC-P-059.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  5. Udgivet

    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, I : B M C Cancer. 16, 12 s., 414.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  6. Udgivet

    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, I : Breast Cancer Research (Online Edition). 16, 2, 8 s., R37.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  7. Udgivet

    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, I : IEEE transactions on medical imaging. 30, 8, s. 1514-1526 13 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  8. 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. (red.). Springer, s. 394-405 12 s. (Lecture notes in computer science, Bind 4485).

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  9. 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 nr. G06T-007/00, Patentnr. WO2011151242-A1, 8 dec. 2011, Prioritetsdato 1 jun. 2010, Prioritetsnr. GB009101

    Publikation: Patent

  10. Udgivet

    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 nr. G06K-009/00, Patentnr. US2010232671-A1, 16 sep. 2010, Prioritetsdato 17 dec. 2008, Prioritetsnr. US203094P

    Publikation: Patent

ID: 152298477