Marleen de Bruijne

Marleen de Bruijne

Professor


  1. 2015
  2. Published

    Quantification and visualization of variation in anatomical trees

    Amenta, N., Datar, M., Dirksen, A., de Bruijne, Marleen, Feragen, A., Ge, X., Pedersen, J., Howard, M., Owen, M., Petersen, Jens, Shi, J. & Xu, Q., 2015, Research in shape modeling. Leonard, K. & Tari, S. (eds.). Springer, p. 57-79 23 p. (Association for Women in Mathematics Series, Vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  3. Published

    Reply: Excess risk of cancer from computed tomography scan is small but not so low as to be incalculable

    Rosenow, T., Oudraad, M. C. J., Murray, C. P., Turkovic, L., Kuo, W., de Bruijne, Marleen, Ranganathan, S. C., Tiddens, H. A. W. M. & Stick, S. M., 2015, In: American Journal of Respiratory and Critical Care Medicine. 192, 11, p. 1397-1399 3 p.

    Research output: Contribution to journalJournal articleResearch

  4. Published

    Reversibility of trapped air on chest computed tomography in cystic fibrosis patients

    Loeve, M., Rosenow, T., Gorbunova, V., Hop, W. C. J., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2015, In: European Journal of Radiology. 84, 6, p. 1184-1190 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    Transfer learning improves supervised image segmentation across imaging protocols

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 5, p. 1018-1030 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Published

    Weighting training images by maximizing distribution similarity for supervised segmentation across scanners

    van Opbroek, A., Vernooij, M. W., Ikram, M. A. & de Bruijne, Marleen, 2015, In: Medical Image Analysis. 24, 1, p. 245-254 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    Why does synthesized data improve multi-sequence classification?

    van Tulder, G. & de Bruijne, Marleen, 2015, Medical image computing and computer assisted interventions - MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Springer, p. 531-538 8 p. (Lecture notes in computer science, Vol. 9349).

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

Previous 1 2 Next

ID: 545222