Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

Publication year:
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  1. 2019
  2. Published

    MRI Biomarkers Improve Disease Progression Modeling-Based Prediction of Cognitive Decline

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Modat , M., Cardoso , J., Ourselin, S. & Sorensen, L., 2019. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research

  3. Published

    Multi-domain adaptation in brain MRI through paired consistency and adversarial learning

    Orbes-Arteaga, M., Varsavsky, T., Sudre, C. H., Eaton-Rosen, Z., Haddow, L. J., Sørensen, L., Nielsen, Mads, Pai, A., Ourselin, S., Modat, M., Nachev, P. & Cardoso, M. J., 2019, Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings. Wang, Q., Milletari, F., Rieke, N., Nguyen, H. V., Roysam, B., Albarqouni, S., Cardoso, M. J., Xu, Z., Kamnitsas, K., Patel, V., Jiang, S., Zhou, K., Luu, K. & Le, N. (eds.). Springer VS, p. 54-62 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11795 LNCS).

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

  4. Published

    On the initialization of long short-term memory networks

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A., Modat, M., Cardoso, M. J., Ourselin, S. & Sørensen, L., 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Springer VS, p. 275-286 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11953 LNCS).

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

  5. Published

    PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

    Orbes-Arteaga, M., Sørensen, L., Cardoso , J., Modat , M., Ourselin, S., Sommer, Stefan Horst, Nielsen, Mads, Igel, Christian & Pai, A. S. U., 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 p.

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

  6. 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

  7. 2018
  8. Published

    Robust training of recurrent neural networks to handle missing data for disease progression modeling

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., 2018. 9 p.

    Research output: Contribution to conference › Paper › Research

  9. Published

    Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs

    Orbes-Arteaga, M., Cardoso, M. J., Sørensen, L., Modat, M., Ourselin, S., Nielsen, Mads & Pai, A. S. U., 2018. 8 p.

    Research output: Contribution to conference › Paper › Research

  10. 2017
  11. Published

    Hippocampal texture predicts rate of cognitive decline in mild cognitive impairment

    Pai, A. S. U., Pillai, J. A., Sørensen, L., Darkner, Sune, Sommer, Stefan Horst & Nielsen, Mads, Jul 2017, In: Alzheimer's & Dementia. 13, 7, supplement, p. P1356 1 p., P4-225.

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

  12. Published

    Density-based non-rigid registration of diffusion-weighted images

    Jensen, H. G., Lauze, Francois Bernard, Nielsen, Mads & Darkner, Sune, Apr 2017.

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

  13. Published

    A statistical model for simultaneous template estimation, bias correction, and registration of 3D brain images

    Pai, A. S. U., Sommer, Stefan Horst, Raket, L. L., Kühnel, L., Darkner, Sune, Sørensen, L. & Nielsen, Mads, 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (eds.). Springer, p. 151-159 9 p. (Lecture notes in computer science, Vol. 10081).

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

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