Marleen de Bruijne

Marleen de Bruijne

Professor

ORCID: 0000-0002-6328-902X

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  1. Published

    Prior knowledge regularization in statistical medical image tasks

    Crimi, A., Sporring, Jon, de Bruijne, Marleen, Lillholm, Martin & Nielsen, Mads, 2009, Proceedings of the MICCAI Workshop on Probabilistic Models for Medical Image Analysis. 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  2. Published

    Probability of malignancy based on automatic segmentation and software measurements of nodules in the Danish lung cancer screening trial (DLCST)

    Saghir, Z., Jacobs, C., van Ginneken, B., de Bruijne, Marleen, Dirksen, A. & Pedersen, J. H., 2012, In: European Respiratory Journal. 40, Supplement 56, p. 777s 1 p., P4185.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  3. 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 proceeding › Book chapter › Research › peer-review

  4. Published

    Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks

    Marques, F., Dubost, F., Corput, M. K. D., Tiddens, H. A. W. & de Bruijne, Marleen, 2018, Medical Imaging 2018: Image Processing. SPIE - International Society for Optical Engineering, 7 p. 105741G. (Proceedings of SPIE International Symposium on Medical Imaging, Vol. 10574).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

    Quantification of diaphragm mechanics in Pompe disease using dynamic 3D MRI

    Mogalle, K., Perez-Rovira, A., Ciet, P., Wens, S. C. A., van Doorn, P. A., Tiddens, H. A. W. M., van der Ploeg, A. T. & de Bruijne, Marleen, 2016, In: P L o S One. 11, 7, 24 p., e0158912.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    Quantification of smoothing requirement for 3D optic flow calculation of volumetric images

    Bab-Hadiashar, A., Tennakoon, R. B. & de Bruijne, Marleen, 2013, In: IEEE Transactions on Image Processing. 22, 6, p. 2128-2137 10 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    Quantifying calcification in the lumbar aorta on X-ray images

    Conrad-Hansen, L. A., de Bruijne, Marleen, Lauze, F. B., Tankó, L. B., Pettersen, P. C., He, Q., Chen, J., Christiansen, C. & Nielsen, Mads, 2007, Medical Image Computing and Computer-Assisted Intervention: 10th International conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II. Ayache, N., Ourselin, S. & Maeder, A. (eds.). Springer, p. 352-359 (Lecture notes in computer science; No. 4792).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    Quantifying emphysema extent from weakly labeled CT scans of the lungs using label proportions learning

    Ørting, S. N., Petersen, Jens, Wille, M., Thomsen, L. & de Bruijne, Marleen, 2016, The Sixth International Workshop on Pulmonary Image Analysis. Beichel, R. R., Farahani, K., Jacobs, C., Kabus, S., Kiraly, A. P., Kuhnigk, J-M., McClelland, J. R., Mori, K., Petersen, J. & S. R. (eds.). CreateSpace Independent Publishing Platform , p. 31-42 11 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Published

    Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation

    Camarasa, R., Bos, D., Hendrikse, J., Nederkoorn, P., Kooi, E., van der Lugt, A. & de Bruijne, Marleen, 2020, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - 2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings. Sudre, C. H., Fehri, H., Arbel, T., Baumgartner, C. F., Dalca, A., Tanno, R., Van Leemput, K., Wells, W. M., Sotiras, A., Papiez, B., Ferrante, E. & Parisot, S. (eds.). Springer, p. 32-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12443 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. Published

    Quantitative airway analysis in longitudinal studies using groupwise registration and 4D optimal surfaces

    Petersen, Jens, Modat, M., Cardoso, M. J., Dirksen, A., Ourselin, S. & de Bruijne, Marleen, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (eds.). Springer, Vol. 2. p. 287-294 8 p. (Lecture notes in computer science, Vol. 8150).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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