Martin Lillholm
Martin Lillholm

Viceinstitutleder


  1. A category system on the shape index descriptor of local image structure induced by natural image statistics

    Lillholm, Martin & Griffin, L. D., 2006, I : Perception. 35, Supplement, s. 48-49 2 s.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

  2. 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

  3. Udgivet

    A novel OA efficacy marker: cartilage activity

    Jørgensen, D. R., Lillholm, Martin & Dam, E. B., 2013, I : Osteoarthritis and Cartilage. 21, Supplement, s. S21-S22 2 s., 28.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

  4. Udgivet

    A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models

    Mysling, P., Petersen, P. K., Nielsen, Mads & Lillholm, Martin, 2013, I : Machine Vision & Applications. 24, 7, s. 1421–1434 14 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  5. Udgivet

    Alzheimer's disease diagnostic performance of a multi-atlas hippocampal segmentation method using the harmonized hippocampal protocol

    Anker, C., xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, Lyksborg, M., Lillholm, Martin, Conradsen, K., Larsen, R. & Nielsen, Mads, 2014. 1 s.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  6. 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

  7. Udgivet

    Assessing breast cancer masking risk in full field digital mammography with automated texture analysis

    Kallenberg, M. G. J., Lillholm, Martin, Diao, Pengfei, Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, 7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, s. 109 1 s.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  8. Udgivet

    Assessing breast cancer masking risk with automated texture analysis in full field digital mammography

    Kallenberg, M. G. J., Lillholm, Martin, Diao, Pengfei, Petersen, K., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, Breast Imaging and Interventional. Radiological Society of North America, Inc, s. 218 1 s.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  9. Udgivet

    Automated texture scoring for assessing breast cancer masking risk in full field digital mammography

    Kallenberg, M. G. J., Petersen, P. K., Lillholm, Martin, Jørgensen, D. R., Diao, Pengfei, Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, I : Insights into Imaging. 6, 1, Supplement, 1 s., B-0212.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  10. Udgivet

    Automatic analysis of trabecular bone structure from knee MRI

    Marques, J., Granlund, R., Lillholm, Martin, Pettersen, P. C. & Dam, E. B., 2012, I : Computers in Biology and Medicine. 42, 7, s. 735-742 8 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  11. Udgivet

    Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach

    Mysling, P., Darkner, Sune, Sporring, Jon, Dam, E. & Lillholm, Martin, 2013, Medical Imaging 2013: Image Processing. Ourselin, S. & Haynor, D. R. (red.). SPIE - International Society for Optical Engineering, 6 s. 86692U. (Progress in Biomedical Optics and Imaging; Nr. 36, Bind 14).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  12. Udgivet

    Automatic quantification of tibio-femoral contact area and congruity

    Tummala, S., Nielsen, Mads, Lillholm, Martin, Christiansen, C. & Dam, Erik Bjørnager, 2012, I : I E E E Transactions on Medical Imaging. 31, 7, s. 1404-1412 9 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  13. Udgivet

    Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative

    Dam, Erik Bjørnager, Lillholm, Martin, Marques, J. & Nielsen, Mads, 2015, I : SPIE Journal of Medical Imaging. 2, 2, 13 s., 024001.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  14. 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

  15. 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

  16. Udgivet

    Breast tissue segmentation and mammographic risk scoring using deep learning

    Petersen, P. K., Nielsen, Mads, Diao, Pengfei, Karssemeijer, N. & Lillholm, Martin, 2014, Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. Fujita, H., Hara, T. & Muramatsu, C. (red.). Springer Science+Business Media, s. 88-94 7 s. (Lecture notes in computer science, Bind 8539).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  17. Brownian Images: a generic background model

    Pedersen, Kim Steenstrup & Lillholm, Martin, 2004, Proceedings of the ECCV'04 Workshop on Statistical Learning in Computer Vision.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  18. Udgivet

    Change in mammographic density across birth cohorts of Dutch breast cancer screening participants

    Napolitano, George, Lynge, Elsebeth, Lillholm, Martin, Vejborg, I. M. M., van Gils, C. H., Nielsen, Mads & Karssemeijer, N., 2019, I : International Journal of Cancer. 145, 11, s. 2954-2962 9 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  19. Classifying local image symmetry using a co-localised family of linear filters

    Griffin, L. D. & Lillholm, Martin, 2008, I : Perception. 37, Supplement, s. 122-122 1 s.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

  20. Udgivet
  21. Udgivet
  22. Udgivet

    Cube propagation for focal brain atrophy estimation

    Pai, Akshay Sadananda Uppinakudru, xfj310, xfj310, Darkner, Sune, Mysling, P., Jørgensen, D. R., Dam, E. B., Lillholm, Martin, Oh, J., Chen, G., Suhy, J., Sporring, Jon & Nielsen, Mads, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging. IEEE, s. 402-405 4 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  23. Udgivet

    Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease

    Pai, Akshay Sadananda Uppinakudru, Sporring, Jon, Darkner, Sune, Dam, Erik Bjørnager, Lillholm, Martin, Jørgensen, D., Oh, J., Chen, G., Suhy, J., xfj310, xfj310 & Nielsen, Mads, 2016, I : SPIE Journal of Medical Imaging. 3, 1, 11 s., 014005.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  24. Udgivet

    Dementia diagnosis using MRI cortical thickness, shape, texture, and volumetry

    xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, Anker, C., Balas, I., Lillholm, Martin, Igel, Christian & Nielsen, Mads, 2014, MICCAI 2014 Workshop Proceedings: Challenge on Computer-Aided Diagnosis of Dementia Based on Structural MRI Data. Bron, E. E., Smits, M., van Swieten, J. C., Niessen, W. J. & Klein, S. (red.). Erasmus Universiteit Rotterdam, s. 111-118 8 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  25. Udgivet

    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, I : Magnetic Resonance in Medicine. 70, 2, s. 568-575 8 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  26. Udgivet

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

    xfj310, xfj310, Igel, Christian, Pai, Akshay Sadananda Uppinakudru, Balas, I., Anker, C., Lillholm, Martin & Nielsen, Mads, 2017, I : NeuroImage: Clinical. 13, s. 470-482 13 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  27. Udgivet

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

    Lillholm, Martin, Pai, Akshay Sadananda Uppinakudru, xfj310, xfj310, Nielsen, Mads, Sporring, Jon, Darkner, Sune & Dam, E., 2013. 1 s.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  28. 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

  29. Udgivet

    Eye movements in gaze interaction

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  30. 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. (red.). SPIE - International Society for Optical Engineering, 11 s. 649209. (Proceedings of S P I E - International Society for Optical Engineering, Bind 6492).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  31. Feature-based image analysis

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  32. 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

  33. Udgivet

    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 s.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  34. 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. (red.). Springer, s. 757-769 (Lecture notes in computer science, Bind 2695/2003).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  35. Udgivet
  36. Hypotheses for image features, icons and textons

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  37. 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. (red.). Springer, s. 26-37 12 s. (Lecture notes in computer science, Bind 3459).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  38. Udgivet

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

    xfj310, xfj310, Lillholm, Martin, Pai, Akshay Sadananda Uppinakudru, Balas, I., Anker, C., Igel, Christian & Nielsen, Mads, 2015, I : Insights into Imaging. 6, Supplement 1, 1 s., B-0077.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

  39. Jet based feature classification

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

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

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