Martin Lillholm

Martin Lillholm

Professor

ORCID: 0000-0002-1402-6899

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  1. Published

    Screening mammography: benefit of double reading by breast density

    von Euler-Chelpin, My Catarina, Lillholm, Martin, Napolitano, George, Vejborg, I., Nielsen, Mads & Lynge, Elsebeth, 2018, In: Breast Cancer Research and Treatment. 171, 3, p. 767-776 10 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. Published

    Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in Denmark

    von Euler-Chelpin, My Catarina, Lillholm, Martin, Vejborg, I., Nielsen, Mads & Lynge, Elsebeth, 2019, In: Breast Cancer Research. 21, 1

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    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, In: B M C Cancer. 16, 12 p., 414.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Published

    Risk stratification of women with false-positive test results in mammography screening based on mammographic morphology and density: a case control study

    Winkel, R. R., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Diao, P., Lillholm, Martin, Kallenberg, M., Forman, Julie Lyng, Nielsen, Michael Bachmann, Uldall, W. Y., Nielsen, Mads & Vejborg, I. M. M., Aug 2017, In: Cancer Epidemiology. 49, p. 53-60 8 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    The combined effect of mammographic texture and density on breast cancer risk: a cohort study

    Wanders, J. O. P., van Gils, C. H., Karssemeijer, N., Holland, K., Kallenberg, M., Peeters, P. H. M., Nielsen, Mads & Lillholm, Martin, 2018, In: Breast Cancer Research. 20, 10 p., 36.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    Impact of adding breast density to breast cancer risk models: A systematic review

    Vilmun, B. M., Vejborg, I., Lynge, E., Lillholm, Martin, Nielsen, Mads, Nielsen, Michael Bachmann & Carlsen, Jonathan Frederik, Jun 2020, In: European Journal of Radiology. 127, 9 p., 109019.

    Research output: Contribution to journal › Review › Research › peer-review

  7. Published

    Automatic quantification of tibio-femoral contact area and congruity

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

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. 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 proceeding › Article in proceedings › Research › peer-review

  9. 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 journal › Journal article › Research › peer-review

  10. Published

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

    Sørensen, L., Lillholm, Martin, Pai, A. S. U., Balas, I., Anker, C., Igel, Christian & Nielsen, Mads, 2015, In: Insights into Imaging. 6, Supplement 1, 1 p., B-0077.

    Research output: Contribution to journal › Conference abstract in journal › Research

  11. Published

    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, In: Medical Image Analysis. 14, 3, p. 255-264 10 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  12. Published

    Breast tissue segmentation and mammographic risk scoring using deep learning

    Petersen, P. K., Nielsen, Mads, Diao, P., 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. (eds.). Springer Science+Business Media, p. 88-94 7 p. (Lecture notes in computer science, Vol. 8539).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  13. Brownian Images: a generic background model

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

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  14. Published

    Localized cerebral atrophy acceleration during Alzheimer’s disease

    Pai, A. S. U., Sørensen, L., Darkner, Sune, Lillholm, Martin, Dam, E. B., Sporring, Jon & Nielsen, Mads, 2013, In: Alzheimer's & Dementia. 9, 4, Supplement, p. P36–P37 2 p., IC-P-059.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  15. Published

    Localized cerebral atrophy acceleration during Alzheimer’s disease

    Pai, A. S. U., Sørensen, L., Darkner, Sune, Lillholm, Martin, Dam, E. B., Sporring, Jon & Nielsen, Mads, 2013, In: Alzheimer's & Dementia. 9, 4, Supplement, p. P151 1 p., O1-10-06.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  16. 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 proceeding › Article in proceedings › Research › peer-review

  17. 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

  18. 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 journal › Journal article › Research › peer-review

  19. 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

  20. Published

    Mammographic texture resemblance generalizes as an independent risk factor for breast cancer

    Nielsen, Mads, Vachon, C. M., Scott, C. G., Chernoff, K., Karemore, G., Karssemeijer, N., Lillholm, Martin & Karsdal, M., 2014, In: Breast Cancer Research (Online Edition). 16, 2, 8 p., R37.

    Research output: Contribution to journal › Journal article › Research › peer-review

  21. Published

    Hippocampus MRI T1 texture's relation to established Alzheimer's disease biomarkers and prediction of progression

    Nielsen, Mads, Sørensen, L., Pai, A. S. U., Igel, Christian & Lillholm, Martin, 2015. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  22. What do features tell about images?

    Nielsen, Mads & Lillholm, Martin, 2001, Scale-Space and Morphology in Computer Vision: Third International Conference, Scale-Space 2001 Vancouver, Canada, July 7–8, 2001 Proceedings. Kerckhove, M. (ed.). Springer, p. 39-50 12 p. (Lecture notes in computer science, Vol. 2106).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  23. 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 journal › Journal article › Research › peer-review

  24. Published

    Eye movements in gaze interaction

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

    Research output: Contribution to journal › Journal article › Research › peer-review

  25. 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, p. 177-180 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  26. Published

    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. (eds.). Springer, p. 10-17 8 p. (Lecture notes in computer science, Vol. 7009).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  27. Published

    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, In: Annals of the Rheumatic Diseases. 71, Supplement 3, p. 303-304 2 p., THU0439.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  28. Published

    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. (eds.). SPIE - International Society for Optical Engineering, 6 p. 86692U. (Progress in Biomedical Optics and Imaging; No. 36, Vol. 14).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  29. Published

    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, In: Machine Vision & Applications. 24, 7, p. 1421–1434 14 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  30. Published

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

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

    Research output: Contribution to journal › Conference abstract in journal › Research

  31. 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, p. 4555-4560 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  32. Published

    Linear feature selection in texture analysis - A PLS based method

    Marques, J., Igel, Christian, Lillholm, Martin & Dam, E., 2013, In: Machine Vision & Applications. 24, 7, p. 1435-1444 10 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  33. 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 journal › Journal article › Research › peer-review

  34. Published

    Automatic analysis of trabecular bone structure from knee MRI

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

    Research output: Contribution to journal › Journal article › Research › peer-review

  35. Published

    Breast density and risk of breast cancer

    Lynge, Elsebeth, Vejborg, I., Lillholm, Martin, Nielsen, Mads, Napolitano, George & von Euler-Chelpin, My Catarina, 2023, In: International Journal of Cancer. 152, 6, p. 1150-1158 9 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  36. 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. (eds.). Springer, p. 757-769 (Lecture notes in computer science, Vol. 2695/2003).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  37. On spatial metamerism in computational vision

    Lillholm, Martin, 2004, IT-Universitetet i København. 113 p.

    Research output: Book/Report › Ph.D. thesis › Research

  38. Feature-based image analysis

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

    Research output: Contribution to journal › Journal article › Research › peer-review

  39. Published

    Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal Women

    Lillholm, Martin, Ghosh, A., Pettersen, P. C., de Bruijne, Marleen, Dam, E. B., Karsdal, M. A., Christiansen, C., Genant, H. K. & Nielsen, Mads, 2011, In: Osteoporosis International. 22, 7, p. 2119-2128 10 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  40. Novel image feature alphabets for object recognition

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

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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

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

    Research output: Contribution to journal › Journal article › Research › peer-review

  42. Larger feature alphabets can improve object recognition even with simpler visual words

    Lillholm, Martin & Griffin, L., 2008, In: Perception. 37, Supplement, p. 33-33 1 p.

    Research output: Contribution to journal › Conference abstract in journal › Research

  43. Jet based feature classification

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

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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

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

    Research output: Contribution to journal › Conference abstract in journal › Research

  45. 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. (eds.). Springer, p. 394-405 12 p. (Lecture notes in computer science, Vol. 4485).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  46. Published

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

    Lillholm, Martin, Pai, A. S. U., Sørensen, L., Nielsen, Mads, Sporring, Jon, Darkner, Sune & Dam, E., 2013. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  47. Published

    Identifying recurrent breast cancer patients in national health registries using machine learning

    Lauritzen, Andreas, Berg, T., Jensen, M., Lillholm, Martin & Knoop, A., 2023, In: Acta Oncologica. 62, 4, p. 350–357

    Research output: Contribution to journal › Journal article › Research › peer-review

  48. Published

    An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload

    Lauritzen, Andreas, Rodríguez-Ruiz, A., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2022, In: Radiology. 304, 1, p. 41-49

    Research output: Contribution to journal › Journal article › Research › peer-review

  49. Published

    Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture

    Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, In: Radiology. 308, 2, 8 p., e230227.

    Research output: Contribution to journal › Journal article › Research › peer-review

  50. Published

    Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk

    Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, In: Journal of Medical Imaging. 10, 5, p. 1-16 054003.

    Research output: Contribution to journal › Journal article › Research › peer-review

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