Martin Lillholm
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 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
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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
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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
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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
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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
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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
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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
- 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
- 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
- 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, 1Research output: Contribution to journal › Journal article › Research › peer-review
ID: 152298477
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Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
626
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Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
338
downloads
Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Research output: Contribution to journal › Journal article › Research › peer-review
Published