Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

Publication year:
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1 - 7 out of 7Page size: 10
  1. 2019
  2. Published

    Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies

    Petersen, Jens, Arias-Lorza, A. M., Selvan, Raghav, Bos, D., van der Lugt, A., Pedersen, J. H., Nielsen, Mads & de Bruijne, Marleen, 1 Jan 2019, In: IEEE Transactions on Medical Imaging. 38, 7, p. 1559-1568 8599009.

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

  3. 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

  4. Published

    Measurement challenge: protocol for international case–control comparison of mammographic measures that predict breast cancer risk

    Dench, E., Bond-smith, D., Darcey, E., Lee, G., Aung, Y. K., Chan, A., Cuzick, J., Ding, Z. Y., Evans, C. F., Harvey, J., Highnam, R., Hsieh, M., Kontos, D., Li, S., Mariapun, S., Nickson, C., Nguyen, T. L., Pertuz, S., Procopio, P., Rajaram, N. & 12 others, Repich, K., Tan, M., Teo, S., Trinh, N. H., Ursin, G., Wang, C., Dos-santos-silva, I., Mccormack, V., Nielsen, Mads, Shepherd, J., Hopper, J. L. & Stone, J., 2019, In: BMJ Open. 9, 12, p. 1-6 e031041.

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

  5. 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

  6. Published

    The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study

    Achterberg, H. C., Sørensen, L., Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, Mads & de Bruijne, Marleen, 2019, In: Neurobiology of Aging. 81, p. 58-66

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

  7. Published

    Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., 2019, In: Medical Image Analysis. 53, p. 39-46

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

  8. Published

    UNSUPERVISED MACHINE LEARNING ON BASELINE BRAIN MRI IDENTIFIES MCI SUBGROUP WITH A FASTER DECLINE OVER TWO YEARS COMPARED TO CLASSICAL HIPPOCAMPAL SPARING AD SUBTYPE

    Sørensen, L., Pai, A., Nielsen, Mads, Leverenz, J. B. & Pillai, J. A., 2019, In: Alzheimer's & Dementia. 15, 7, p. P1420 1 p., P4-326.

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

ID: 542361