Marleen de Bruijne

Marleen de Bruijne

Professor

ORCID: 0000-0002-6328-902X

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  1. Published

    An end-to-end approach to segmentation in medical images with CNN and posterior-CRF

    Chen, S., Sedghi Gamechi, Z., Dubost, F., van Tulder, G. & de Bruijne, Marleen, Feb 2022, In: Medical Image Analysis. 76, p. 1-12 102311.

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

  2. Published

    Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation

    Chen, S., Bortsova, G., Juárez, A. G. U., van Tulder, G. & de Bruijne, Marleen, 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer VS, p. 457-465 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11766 LNCS).

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

  3. Published

    Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection

    Chen, X., Lin, M., Cui, H., Chen, Y., van Engelen, A., de Bruijne, Marleen, Azarpazhooh, M. R., Sohrevardi, S. M., Chow, T. W. S., Spence, J. D. & Chiu, B., 2020, In: Computer Methods and Programs in Biomedicine. 184, 10 p., 105276.

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

  4. Published

    Asymmetric similarity-weighted ensembles for image segmentation

    Cheplygina, V., Van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2016, 2016 IEEE International Symposium on Biomedical Imaging: from Nano to Macro. IEEE, p. 273-277 5 p.

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

  5. Published

    Classification of COPD with multiple instance learning

    Cheplygina, V., Sørensen, L. E. B. L., Tax, D., Pedersen, J. J. H., Loog, M. & de Bruijne, Marleen, 2014, 22nd International Conference on Pattern Recognition (ICPR) 2014. IEEE, p. 1508-1513 6 p. (International Conference on Pattern Recognition).

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

  6. Published

    Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

    Cheplygina, V., de Bruijne, Marleen & Pluim, J. P. W., 29 Mar 2019, In: Medical Image Analysis. 54, p. 280-296 17 p.

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

  7. Published

    Label stability in multiple instance learning

    Cheplygina, V., Sørensen, L., Tax, D. M. J., de Bruijne, Marleen & Loog, M., 2015, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Navab, N., Hornegger, J., Wells, W. M. & Frangi, A. F. (eds.). Springer, p. 539-546 8 p. (Lecture notes in computer science).

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

  8. Published

    Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners

    Cheplygina, V., Opbroek, A. V., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2020, In: arXiv.org. 17 p.

    Research output: Contribution to journal › Journal article › Research

  9. 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

  10. Published

    Early experiences with crowdsourcing airway annotations in chest CT

    Cheplygina, V., Perez-Rovira, A., Kuo, W., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Carneiro, G., Mateus, D., Peter, L., Bradley, A., Tavares, J. M. R. S., Belagiannis, V., Papa, J. P., Nascimento, J. C., Loog, M., Lu, Z., Cardoso, J. S. & Cornebise, J. (eds.). Springer, p. 209-218 10 p. (Lecture notes in computer science, Vol. 10008).

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

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