Martin Lillholm

Martin Lillholm

Professor


  1. 2008
  2. Larger feature alphabets can improve object recognition even with simpler visual words

    Lillholm, Martin & Griffin, L., 2008, I: Perception. 37, Supplement, s. 33-33 1 s.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

  3. Novel image feature alphabets for object recognition

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

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. 2009
  5. 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

  6. Udgivet

    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 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. 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

  8. 2010
  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. 2011
  11. 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

  12. Udgivet

    Finding discriminative regions that optimally separate healthy and osteoarthritis knees

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

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  13. 2012
  14. 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 tidsskriftForskningfagfællebedømt

  15. Udgivet

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

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

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

ID: 152298477