Martin Lillholm

Martin Lillholm

Professor


  1. Published

    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, In: International Journal of Cancer. 145, 11, p. 2954-2962 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

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

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

    Research output: Contribution to journalConference abstract in journalResearch

  3. Published

    Computer analysis method for analyzing images involves applying algorithm to aligned images to extract quantitative estimate of difference in volume of object shown in second image by calculating change in volume of object

    Pai, A. S. U., Sørensen, L., Dam, E., Lillholm, Martin & Nielsen, Mads, 2014, IPC No. A61B-005/00, Patent No. US2014357978-A1, 4 Dec 2014, Priority date 4 Jun 2013, Priority No. US909666

    Research output: Patent

  4. Published

    Computer based method for determining the size of an objects in an image

    Pai, A. S. U., Sørensen, L., Dam, E. B., Lillholm, Martin & Nielsen, Mads, 4 Dec 2014, Priority date 4 Dec 2014

    Research output: Patent

  5. Published

    Cube propagation for focal brain atrophy estimation

    Pai, A. S. U., Sørensen, L., 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, p. 402-405 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

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

    Pai, A. S. U., Sporring, Jon, Darkner, Sune, Dam, Erik Bjørnager, Lillholm, Martin, Jørgensen, D., Oh, J., Chen, G., Suhy, J., Sørensen, L. & Nielsen, Mads, 2016, In: SPIE Journal of Medical Imaging. 3, 1, 11 p., 014005.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

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

    Sørensen, L., Pai, A. S. U., 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. (eds.). Erasmus Universiteit Rotterdam, p. 111-118 8 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. Published

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In: Scientific Reports. 11, 1, 12 p., 3246.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    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, In: Magnetic Resonance in Medicine. 70, 2, p. 568-575 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

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

    Sørensen, L., Igel, Christian, Pai, A. S. U., Balas, I., Anker, C., Lillholm, Martin & Nielsen, Mads, 2017, In: NeuroImage: Clinical. 13, p. 470-482 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 152298477