Martin Lillholm
Martin Lillholm

Viceinstitutleder


  1. 2009
  2. 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

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

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. 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, s. 4555-4560 6 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. 2010
  6. Udgivet

    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 nr. G06T-007/00, Patentnr. WO2010142595-A1, 16 dec. 2010, Prioritetsdato 11 jun. 2009, Prioritetsnr. US268370

    Publikation: Patent

  7. 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

  8. Symmetry sensitivities of derivative-of-gaussian filters

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  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, s. 177-180 4 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. 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 tidsskriftTidsskriftartikelForskningfagfællebedømt

  11. 2011
  12. 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

  13. 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

ID: 152298477