Marleen de Bruijne

Marleen de Bruijne

Professor

Marleen de Bruijne is associate professor of medical image analysis at  Erasmus MC - University Medical Center Rotterdam, The Netherlands, and professor of medical image analysis at University of Copenhagen, Denmark. She received an MSc degree in physics (1997) and a PhD degree in medical imaging (2003) both from Utrecht University, The Netherlands. Before joining the University of Copenhagen (2007) and Erasmus MC (2008) she was assistant professor and later associate professor at the IT University of Copenhagen. Marleen has (co-)authored 180 peer-reviewed full papers in international conferences and journals and 19 patent applications. She has been a member of the program committee of many international conferences in medical imaging and computer vision, associate editor for Image and Vision Computing and Medical Physics, and is a member of the IPMI board, the ISBI Steering Committee, and of the editorial boards of Medical Image Analysis and Frontiers in ICT - Computer Image Analysis.  Her research interest is in quantitative analysis of medical images, with a focus on machine learning techniques and with applications in pulmonary imaging, neuro imaging, and cardiovascular imaging.

 

Selected publications

  1. Published

    Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning

    van Opbroek, A., Achterberg, H. C., Vernooij, M. W. & de Bruijne, M., 2019, In : IEEE transactions on medical imaging. 38, 1, p. 213-224 8419778.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction

    Raghavendra, S., Welling, M., Pedersen, J. J. H., Petersen, J. & de Bruijne, M., 2018, Medical Image Computingand Computer AssistedIntervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16–20, 2018, Proceedings, Part II. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (eds.). Springer, p. 750-758 (Lecture notes in computer science, Vol. 11071).

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

  3. Published

    Detecting emphysema with multiple instance learning

    Orting, S. N., Petersen, J., Thomsen, L. H., Wille, M. M. W. & De Bruijne, M., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE, p. 510-513

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

  4. Published

    Maximization of regional probabilities using Optimal Surface Graphs: application to carotid artery segmentation in MRI

    Arias Lorza, A. M., Van Engelen, A., Petersen, J., Van Der Lugt, A. & De Bruijne, M., 1 Mar 2018, In : Medical Physics. 45, 3, p. 1159-1169

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    Transfer learning for multicenter classification of chronic obstructive pulmonary disease

    Cheplygina, V., Peña, I. P., Pedersen, J. J. H., Lynch, D. A., Sørensen, L. & de Bruijne, M., Sep 2018, In : IEEE Journal of Biomedical and Health Informatics. 22, 5, p. 1486 - 1496

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Published

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

    Kuo, W., de Bruijne, M., Petersen, J., 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 journalJournal articleResearchpeer-review

  7. 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, M., 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 proceedingArticle in proceedingsResearchpeer-review

  8. Published

    Extraction of airways with probabilistic state-space models and Bayesian smoothing

    Raghavendra, S., Petersen, J., Pedersen, J. J. H. & de Bruijne, M., 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 11 p. (Lecture notes in computer science, Vol. 10551).

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

  9. 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, M., 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 proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Crowdsourced emphysema assessment

    Ørting, S. N., Cheplygina, V., Petersen, J., Thomsen, L. H., Wille, M. M. W. & de Bruijne, M., 2017, Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Lee, S-L., Cheplygina, V., Balocco, S., Mateus, D., Zahnd, G., Maier-Hein, L., Dermirci, S., Granger, E., Duong, L., Carbonneau, M-A., Albarquoni, S. & Carneiro, G. (eds.). Springer, p. 126-135 10 p. (Lecture notes in computer science, Vol. 10552).

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

  11. Published

    Machine learning approaches in medical image analysis: from detection to diagnosis

    de Bruijne, M., 2016, In : Medical Image Analysis. 33, p. 94-97 4 p.

    Research output: Contribution to journalEditorialResearchpeer-review

  12. Published

    Automatic airway-artery analysis on lung CT to quantify airway wall thickening and bronchiectasis

    Perez-Rovira, A., Kuo, W., Petersen, J., Tiddens, H. A. W. M. & de Bruijne, M., 2016, In : Medical Physics. 43, 10, p. 5736-5744 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Published

    Representation learning for cross-modality classification

    Tulder, G. V. & de Bruijne, M., 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 proceedingArticle in proceedingsResearchpeer-review

  14. Published

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

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

    Research output: Contribution to journalJournal articleResearchpeer-review

  15. Published

    Transfer learning improves supervised image segmentation across imaging protocols

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, M., 2015, In : IEEE transactions on medical imaging. 34, 5, p. 1018-1030 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  16. Published

    Geodesic atlas-based labeling of anatomical trees: application and evaluation on airways extracted from CT

    Feragen, A., Petersen, J., Owen, M., Lo, P., Thomsen, L. H., Wille, M. M. W., Dirksen, A. & de Bruijne, M., 2015, In : IEEE transactions on medical imaging. 34, 6, p. 1212-1226 15 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  17. Published

    Three-dimensional carotid ultrasound plaque texture predicts vascular events

    van Engelen, A., Wannarong, T., Parraga, G., Niessen, W. J., Fenster, A., Spence, J. D. & de Bruijne, M., 2014, In : Stroke. 45, p. 2695-2701 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  18. Published

    Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease

    Petersen, J., Nielsen, M., Lo, P. C. P., Nordenmark, L. H., Pedersen, J. J. H., Wille, M. M. W., Dirksen, A. & de Bruijne, M., 2014, In : Medical Image Analysis. 18, 3, p. 531-541 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  19. Published

    Hippocampal shape is predictive for the development of dementia in a normal, elderly population

    Achterberg, H. C., van der Lijn, F., den Heijer, T., Vernooij, M. W., Ikram, M. A., Niessen, W. J. & de Bruijne, M., 2014, In : Human Brain Mapping. 35, 5, p. 2359-2371 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  20. Published

    Extraction of airways from CT (EXACT’09)

    Lo, P. C. P., Ginneken, B. V., Reinhardt, J. M., Yavarna, T., Jong, P. A. D., Irving, B., Fetita, C., Ortner, M., Pinho, R., Sijbers, J., Feuerstein, M., Fabijanska, A., Bauer, C., Beichel, R., Mendoza, C. S., Wiemker, R., Lee, J., Reeves, A. P., Born, S., Weinheimer, O., Rikxoort, E. M. V., Tschirren, J., Mori, K., Odry, B., Naidich, D. P., Hartmann, I., Hoffman, E. A., Prokop, M., Pedersen, J. H. & de Bruijne, M., 2012, In : I E E E Transactions on Medical Imaging. 31, 11, p. 2093-2107 15 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  21. Published

    Mass preserving image registration for lung CT

    Gorbunova, V., Sporring, J., Lo, P. C. P., Loeve, M., Tiddens, H. A., Nielsen, M., Dirksen, A. & de Bruijne, M., 2012, In : Medical Image Analysis. 16, 4, p. 786-795 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  22. Published

    Texture-based analysis of COPD: a data-driven approach

    Sørensen, L., Nielsen, M., Lo, P. C. P., Ashraf, H., Pedersen, J. J. H. & de Bruijne, M., 2012, In : I E E E Transactions on Medical Imaging. 31, 1, p. 70-78 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 545222