Mads Nielsen

Mads Nielsen

Professor


  1. 2019
  2. Published

    Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies. / Petersen, Jens; Arias-Lorza, Andres M; Selvan, Raghavendra; Bos, Daniel; van der Lugt, Aad; Pedersen, Jesper H; Nielsen, Mads; de Bruijne, Marleen.

    In: IEEE transactions on medical imaging, 01.01.2019.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Change in mammographic density across birth cohorts of Dutch breast cancer screening participants. / Napolitano, George Maria; Lynge, Elsebeth; Lillholm, Martin; Vejborg, Ilse Merete Munk; van Gils, Carla H; Nielsen, Mads; Karssemeijer, Nico.

    In: International Journal of Cancer, 2019.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    PADDIT : Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. / Orbes-Ortega, Mauricio ; Sørensen, Lauge; Cardoso , Jorge ; Modat , Marc ; Ourselin, Sebastien; Sommer, Stefan Horst; Nielsen, Mads; Igel, Christian; Pai, Akshay Sadananda Uppinakudru.

    Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 2019.

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

  5. Published

    The value of hippocampal volume, shape, and texture for 11-year prediction of dementia : a population-based study. / Achterberg, Hakim C.; Sørensen, Lauge; Wolters, Frank J.; Niessen, Wiro J.; Vernooij, Meike W.; Ikram, M. Arfan; Nielsen, Mads; de Bruijne, Marleen.

    In: Neurobiology of Aging, Vol. 81, 2019, p. 58-66.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Published

    Training recurrent neural networks robust to incomplete data : application to Alzheimer’s disease progression modeling. / Mehdipour Ghazi, Mostafa; Nielsen, Mads; Pai, Akshay Sadananda Uppinakudru; Cardoso, M. Jorge; Modat, Marc; Ourselin, Sebastien; Sørensen, Lauge.

    In: Medical Image Analysis, Vol. 53, 2019, p. 39-46.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. 2018
  8. Published

    Subclinical depressive symptoms during late midlife and structural brain alterations : A longitudinal study of Danish men born in 1953. / Osler, Merete; Sørensen, Lauge; Rozing, Maarten; Calvo, Oriol Puig; Nielsen, Mads; Rostrup, Egill.

    In: Human Brain Mapping, Vol. 39, No. 4, 04.2018, p. 1789-1795.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination. / Sørensen, Lauge; Nielsen, Mads.

    In: Journal of Neuroscience Methods, Vol. 302, No. SI, 2018, p. 66-74.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Robust training of recurrent neural networks to handle missing data for disease progression modeling. / Mehdipour Ghazi, Mostafa; Nielsen, Mads; Pai, Akshay Sadananda Uppinakudru; Cardoso, Manuel Jorge; Modat, Marc; Ourselin, Sebastien; Sørensen, Lauge.

    2018. Paper presented at 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, Netherlands.

    Research output: Contribution to conferencePaperResearch

  11. Published

    Screening mammography : benefit of double reading by breast density. / von Euler-Chelpin, My; Lillholm, Martin; Napolitano, George; Vejborg, Ilse; Nielsen, Mads; Lynge, Elsebeth.

    In: Breast Cancer Research and Treatment, Vol. 171, No. 3, 2018, p. 767-776.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

    Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. / Orbes-Arteaga, Mauricio; Cardoso, Manuel Jorge; Sørensen, Lauge; Modat, Marc; Ourselin, Sebastien; Nielsen, Mads; Pai, Akshay Sadananda Uppinakudru.

    2018. Paper presented at 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, Netherlands.

    Research output: Contribution to conferencePaperResearch

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