Marleen de Bruijne

Marleen de Bruijne

Professor

ORCID: 0000-0002-6328-902X

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  1. Published

    Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks

    Bortsova, G., van Tulder, G., Dubost, F., Peng, T., Navab, N., van der Lugt, A., Bos, D. & de Bruijne, Marleen, 2017, Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D. L. & Duchesne, S. (eds.). Springer, p. 356-364 9 p. (Lecture notes in computer science, Vol. 10435).

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

  2. Published

    Automated registration of freehand B-mode ultrasound and magnetic resonance imaging of the carotid arteries based on geometric features

    Carvalho, D. D. B., Arias Lorza, A. M., Niessen, W. J., de Bruijne, Marleen & Klein, S., 2017, In: Ultrasound in Medicine & Biology. 43, 1, p. 273–285 13 p.

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

  3. Published

    Do you trust your multiple instance learning classifier?

    Cheplygina, V., Sørensen, L., Tax, D. M. J., de Bruijne, Marleen & Loog, M., 2017, Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning. Duivesteijn, W., Pechenizkiy, M., Fletcher, G., Menkovski, V., Postma, E., Vanschoren, J. & van der Putten, P. (eds.). p. 72-73 2 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

  4. Published

    GP-Unet: Lesion detection from weak labels with a 3D regression network

    Dubost, F., Bortsova, G., Adams, H., Ikram, A., Niessen, W. J., Vernooij, M. & de Bruijne, Marleen, 2017, Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D. L. & Duschesne, S. (eds.). Springer, p. 214-221 8 p. (Lecture notes in computer science, Vol. 10435).

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

  5. Fully automated lung volume assessment from MRI in a population-based child cohort study

    Ivanovska, T., Ciet, P., Rerez-Rovira, A., Nguyen, A., Tiddens, H., Duijts, L., de Bruijne, Marleen & Wörgötter, F., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS Digital Library, Vol. 6. p. 53-58 6 p.

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

  6. Published

    Diagnosis of bronchiectasis and airway wall thickening in children with cystic fibrosis: objective airway-artery quantification

    Kuo, W., de Bruijne, Marleen, Petersen, Jens, Nasserinejad, K., Ozturk, H., Chen, Y., Perez-Rovira, A. & Tiddens, H. A. W. M., Nov 2017, In: European Radiology. 27, 11, p. 4680-4689 10 p.

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

  7. Published

    Objective airway artery dimensions compared to CT scoring methods assessing structural cystic fibrosis lung disease

    Kuo, W., Andrinopoulou, E., Perez-Rovira, A., Ozturk, H., de Bruijne, Marleen & Tiddens, H. A. W. M., Jan 2017, In: Journal of Cystic Fibrosis. 16, 1, p. 116–123 8 p.

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

  8. Published

    Comparison of CT and CMR for detection and quantification of carotid artery calcification: the Rotterdam Study

    Mujaj, B., Lorza, A. M. A., van Engelen, A., de Bruijne, Marleen, Franco, O. H., van der Lugt, A., Vernooij, M. W. & Bos, D., 6 Mar 2017, In: Journal of Cardiovascular Magnetic Resonance. 19, 1, 7 p., 28.

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

  9. Published

    Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing

    Selvan, Raghav, Petersen, Jens, Pedersen, J. J. H. & de Bruijne, Marleen, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Ferrante, E., Pennec, X., Dalca, A. V., Parisot, S., Joshi, S., Batmanghelich, N. K., Sotiras, A., Nielsen, M., Sabuncu, M. R., Fletcher, T., Shen, L., Durrleman, S. & Sommer, S. (eds.). Springer, p. 53-63 (Lecture notes in computer science, Vol. 10551).

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

  10. Published

    Representation learning for cross-modality classification

    Tulder, G. V. & de Bruijne, Marleen, 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (eds.). Springer, p. 126-136 11 p. (Lecture notes in computer science, Vol. 10081).

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

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