Mads Nielsen

Mads Nielsen

Professor


  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 journalJournal articleResearchpeer-review

  3. Published

    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. (eds.). Springer VS, p. 68-76 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11796 LNCS).

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

  4. 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 journalJournal articleResearchpeer-review

  5. 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 conferenceConference abstract for conferenceResearch

  6. 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., 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 journalJournal articleResearchpeer-review

  7. 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 proceedingArticle in proceedingsResearchpeer-review

  8. 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 proceedingArticle in proceedingsResearchpeer-review

  9. 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 proceedingArticle in proceedingsResearchpeer-review

  10. 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 journalJournal articleResearchpeer-review

  11. 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 journalJournal articleResearchpeer-review

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