Martin Lillholm

Martin Lillholm

Viceinstitutleder


  1. Udgivet

    A novel OA efficacy marker : cartilage activity. / Jørgensen, Dan Richter; Lillholm, Martin; Dam, E. B.

    I: Osteoarthritis and Cartilage, Bind 21, Nr. Supplement, 28, 2013, s. S21-S22.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

  2. Udgivet

    Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps. / Jørgensen, Dan Richter; Dam, Erik Bjørnager; Lillholm, Martin.

    I: Computers in Biology and Medicine, Bind 43, Nr. 8, 2013, s. 1045-1052.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    On subregional analysis of cartilage loss from knee MRI. / Jørgensen, Dan Richter; Lillholm, Martin; Genant, Harry K.; Dam, Erik Bjørnager.

    I: Cartilage, Bind 4, Nr. 2, 2013, s. 121-130.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. Udgivet

    Automated texture scoring for assessing breast cancer masking risk in full field digital mammography. / Kallenberg, Michiel Gijsbertus J; Petersen, Peter Kersten; Lillholm, Martin; Jørgensen, Dan Richter; Diao, Pengfei; Holland, Katharina; Karssemeijer, Nico; Igel, Christian; Nielsen, Mads.

    I: Insights into Imaging, Bind 6, Nr. 1, Supplement, B-0212, 2015.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  5. Udgivet

    Assessing breast cancer masking risk in full field digital mammography with automated texture analysis. / Kallenberg, Michiel Gijsbertus J; Lillholm, Martin; Diao, Pengfei; Holland, Katharina; Karssemeijer, Nico; Igel, Christian; Nielsen, Mads.

    7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, 2015. s. 109.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  6. Udgivet

    Assessing breast cancer masking risk with automated texture analysis in full field digital mammography. / Kallenberg, Michiel Gijsbertus J; Lillholm, Martin; Diao, Pengfei; Petersen, Kersten; Holland, Katharina; Karssemeijer, Nico; Igel, Christian; Nielsen, Mads.

    Breast Imaging and Interventional. Radiological Society of North America, Inc, 2015. s. 218.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  7. Udgivet

    Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring. / Kallenberg, Michiel Gijsbertus J.; Petersen, Peter Kersten; Nielsen, Mads; Ng, Andrew Y.; Diao, Pengfei; Igel, Christian; Vachon, Celine M.; Holland, Katharina; Winkel, Rikke Rass; Karssemeijer, Nico; Lillholm, Martin.

    I: IEEE Transactions on Medical Imaging, Bind 35, Nr. 5, 2016, s. 1322-1331.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  8. Udgivet

    Learning density independent texture features. / Kallenberg, Michiel Gijsbertus J.; Nielsen, Mads; Holland, Katharina; Karssemeijer, Nico; Igel, Christian; Lillholm, Martin.

    Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings. red. / Anders Tingberg; Kristina Lång; Pontus Timberg. Springer, 2016. s. 299-306 (Lecture notes in computer science, Bind 9699).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. On image reconstruction from multiscale top points. / Kanters, Frans; Lillholm, Martin; Duits, Remco; Janssen, Bart; Platel, Bram; Florack, Luc; ter Haar Romeny, Bart.

    Scale Space and PDE Methods in Computer Vision: 5th International Conference, Scale-Space 2005, Hofgeismar, Germany, April 7-9, 2005. Proceedings. red. / Ron Kimmel; Nir A. Sochen; Joachim Weickert. Springer, 2005. s. 431-442 (Lecture notes in computer science, Bind 3459).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. On spatial metamerism in computational vision. / Lillholm, Martin.

    IT-Universitetet i København, 2004. 113 s.

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

ID: 152298477