Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. Udgivet

    Adaptive time-stepping in dieomorphic image registration with bounded inverse consistency error

    Pai, A. S. U., Klein, S., Sommer, Stefan Horst, Sørensen, L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015) . INRIA, s. 35-47

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

  2. Udgivet

    Adaptive time-stepping in diffeomorphic image registration with bounded inverse consistency error

    Pai, A. S. U., Klein, S., Sommer, Stefan Horst, Sørensen, L. E. B. L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, The 18th International Conference on Medical Image Computing and Computer Assisted Intervention: proceedings. Technische Universität München , s. 35-47 13 s.

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

  3. Udgivet

    Computer analysis method for analyzing images involves applying algorithm to aligned images to extract quantitative estimate of difference in volume of object shown in second image by calculating change in volume of object

    Pai, A. S. U., Sørensen, L., Dam, E., Lillholm, Martin & Nielsen, Mads, 2014, IPC nr. A61B-005/00, Patentnr. US2014357978-A1, 4 dec. 2014, Prioritetsdato 4 jun. 2013, Prioritetsnr. US909666

    Publikation: Patent

  4. Udgivet

    Localized cerebral atrophy acceleration during Alzheimer’s disease

    Pai, A. S. U., Sørensen, L., Darkner, Sune, Lillholm, Martin, Dam, E. B., Sporring, Jon & Nielsen, Mads, 2013, I: Alzheimer's & Dementia. 9, 4, Supplement, s. P36–P37 2 s., IC-P-059.

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

  5. Udgivet

    Hippocampus atrophy in early Alzheimer's disease quantified using non-rigid registration with cube propagation

    Pai, A. S. U., Sørensen, L. E. B. L., Mysling, P., Erleben, L. L., Sporring, Jon, Dam, E., Lillholm, M., Jørgensen, D. R., Chen, G., Oh, J., Suhy, J. & Nielsen, Mads, 2013.

    Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

  6. Udgivet

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

    Osler, Merete, Sørensen, L., 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

  7. Udgivet

    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 s.

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

  8. Udgivet

    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 s.

    Publikation: Konferencebidrag › Paper › Forskning

  9. Udgivet

    Knowledge Distillation for Semi-supervised Domain Adaptation

    Orbes-Arteaga, M., Cardoso, J., Sørensen, L., Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, A., 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

  10. 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., 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. (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

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