Mads Nielsen
Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. 2019
  2. Udgivet

    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, I : IEEE transactions on medical imaging. 38, 7, s. 1559-1568 8599009.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  3. Udgivet

    Knowledge Distillation for Semi-supervised Domain Adaptation

    Orbes-Arteaga, M., Cardoso, J., xfj310, xfj310, Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, Akshay Sadananda Uppinakudru, 1 jan. 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (red.). Springer VS, s. 68-76 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11796 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Udgivet

    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, I : International Journal of Cancer. 145, 11, s. 2954-2962 9 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  5. Udgivet

    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., xfj310, xfj310, Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, 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. (red.). Springer VS, s. 54-62 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11795 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. Udgivet

    PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

    Orbes-Arteaga, M., xfj310, xfj310, Cardoso , J., Modat , M., Ourselin, S., Sommer, Stefan Horst, Nielsen, Mads, Igel, Christian & Pai, Akshay Sadananda Uppinakudru, 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. Udgivet

    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, I : Breast Cancer Research. 21, 1

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  8. Udgivet

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

    Achterberg, H. C., xfj310, xfj310, Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, Mads & de Bruijne, Marleen, 2019, I : Neurobiology of Aging. 81, s. 58-66

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  9. Udgivet

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

    Mehdipour Ghazi, M., Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, Cardoso, M. J., Modat, M., Ourselin, S. & xfj310, xfj310, 2019, I : Medical Image Analysis. 53, s. 39-46

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  10. Udgivet

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

    xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, Nielsen, Mads, Leverenz, J. B. & Pillai, J. A., 2019, I : Alzheimer's & Dementia. 15, 7, s. P1420 1 s., P4-326.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  11. 2018
  12. Udgivet

    Subclinical depressive symptoms during late midlife and structural brain alterations: A longitudinal study of Danish men born in 1953

    Osler, Merete, xfj310, xfj310, Rozing, M., Calvo, O. P., Nielsen, Mads & Rostrup, E., apr. 2018, I : Human Brain Mapping. 39, 4, s. 1789-1795

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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