Marleen de Bruijne

Marleen de Bruijne

Professor


  1. 2021
  2. Published

    Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks

    Garcia-uceda, A., Selvan, Raghav, Saghir, Zaigham, Tiddens, H. A. W. M. & de Bruijne, Marleen, 2021, In: Scientific Reports. 11, 1, 15 p., 16001.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Chest MRI to diagnose early diaphragmatic weakness in Pompe disease

    Harlaar, L., Ciet, P., van Tulder, G., Pittaro, A., van Kooten, H. A., van der Beek, N. A. M. E., Brusse, E., Wielopolski, P. A., de Bruijne, Marleen, van der Ploeg, A. T., Tiddens, H. A. W. M. & van Doorn, P. A., 2021, In: Orphanet Journal of Rare Diseases. 16, 1, p. 1-12 21.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Creating a training set for artificial intelligence from initial segmentations of airways

    Dudurych, I., Garcia-Uceda, A., Saghir, Zaigham, Tiddens, H. A. W. M., Vliegenthart, R. & de Bruijne, Marleen, 2021, In: European radiology experimental. 5, 1, 7 p., 54.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    Crowdsourcing airway annotations in chest computed tomography images

    Cheplygina, V., Perez-Rovira, A., Kuo, W., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2021, In: PLoS ONE. 16, e0249580.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Published

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In: Scientific Reports. 11, 1, 12 p., 3246.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    Intracranial arteriosclerosis is related to cerebral small vessel disease: a prospective cohort study

    Vinke, E. J., Yilmaz, P., van der Toorn, J. E., Fakhry, R., Frenzen, K., Dubost, F., Licher, S., de Bruijne, Marleen, Kavousi, M., Ikram, M. A., Vernooij, M. W. & Bos, D., 2021, In: Neurobiology of Aging. 105, p. 16-24

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging

    de Bruijne, Marleen, 2021, Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer, p. 1 1 p.

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearch

  9. Published

    Preface

    Ernst, F., Heinrich, M., Lellmann, J., Schlaefer, A., Dou, Q. & de Bruijne, Marleen, 2021, e Proceedings of the Fourth International Conference on Medical Imaging with Deep Learning – MIDL 2021. PMLR, p. 1-4 (Proceedings of Machine Learning Research, Vol. 143).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

  10. Published

    Preface (vols 1-8)

    de Bruijne, Marleen, Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII. Springer, Vol. 12905 LNCS. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

  11. Published

    Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images

    Camarasa, R., Faure, A., Crozier, T., Bos, D. & de Bruijne, Marleen, 2021, Statistical Atlases and Computational Models of the Heart. MandMs and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Puyol Anton, E., Pop, M., Sermesant, M., Campello, V., Lalande, A., Lekadir, K., Suinesiaputra, A., Camara, O. & Young, A. (eds.). Springer, p. 385-391 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12592 LNCS).

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

  12. 2020
  13. Published

    Weakly supervised object detection with 2D and 3D regression neural networks

    Dubost, F., Adams, H., Yilmaz, P., Bortsova, G., Tulder, G. V., Ikram, M. A., Niessen, W., Vernooij, M. W. & de Bruijne, Marleen, Oct 2020, In: Medical Image Analysis. 65, 22 p., 101767.

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Published

    Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images

    Kayal, S., Dubost, F., Tiddens, H. A. W. M. & de Bruijne, Marleen, Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE, p. 586-590 9098581

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

  15. Published

    Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection

    Lin, M., Cui, H., Chen, W., van Engelen, A., de Bruijne, Marleen, Azarpazhooh, M. R., Sohrevardi, S. M., Spence, J. D. & Chiu, B., Jan 2020, In: Computers in Biology and Medicine. 116, 11 p., 103586.

    Research output: Contribution to journalJournal articleResearchpeer-review

  16. Published

    Airway tapering: An objective image biomarker for bronchiectasis

    Kuo, W., Perez-Rovira, A., Tiddens, H. & de Bruijne, Marleen, 2020, In: European Radiology. 30, 5, p. 2703-2711

    Research output: Contribution to journalJournal articleResearchpeer-review

  17. Published

    Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks

    Dubost, F., Collery, B., Renaudier, A., Roc, A., Posocco, N., Niessen, W. & de Bruijne, Marleen, 2020, Computational Methods and Clinical Applications for Spine Imaging: 6th International Workshop and Challenge, CSI 2019, Proceedings. Cai, Y., Wang, L., Audette, M., Zheng, G. & Li, S. (eds.). Springer VS, p. 88-94 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11963 LNCS).

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

  18. Published

    Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial

    Sørensen, L., Nielsen, Mads, Petersen, Jens, Pedersen, J. H., Dirksen, A. & de Bruijne, Marleen, 2020, In: American Journal of Roentgenology. 214, 6, p. 1269-1279

    Research output: Contribution to journalJournal articleResearchpeer-review

  19. Published

    Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem

    Tennakoon, R., Bortsova, G., Orting, S., Gostar, A. K., Wille, M. M. W., Saghir, Zaigham, Hoseinnezhad, R., de Bruijne, Marleen & Bab-Hadiashar, A., 2020, In: IEEE Transactions on Medical Imaging. 39, 4, p. 854-865

    Research output: Contribution to journalJournal articleResearchpeer-review

  20. Published

    Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks

    Selvan, Raghav, Kipf, T., Welling, M., Juarez, A. G., Pedersen, J. H., Petersen, Jens & de Bruijne, Marleen, 2020, In: Medical Image Analysis. 64, 12 p., 101751.

    Research output: Contribution to journalJournal articleResearchpeer-review

  21. Published

    Growth of the thoracic aorta in the smoking population: The Danish Lung Cancer Screening Trial

    Bons, L. R., Sedghi Gamechi, Z., Thijssen, C. G. E., Kofoed, Klaus Fuglsang, Pedersen, J. H., Saghir, Zaigham, Takkenberg, J. J. M., Kardys, I., Budde, R. P. J., de Bruijne, Marleen & Roos-Hesselink, J. W., 2020, In: International Journal of Cardiology. 299, p. 276-281

    Research output: Contribution to journalJournal articleResearchpeer-review

  22. Published

    Learning to quantify emphysema extent: What labels do we need?

    Orting, S. N., Petersen, Jens, Thomsen, L. H., Winkler Wille, M. M. & de Bruijne, Marleen, 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 4, p. 1149 -1159

    Research output: Contribution to journalJournal articleResearchpeer-review

  23. Published

    Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation

    Dubost, F., de Bruijne, Marleen, Nardin, M., Dalca, A. V., Donahue, K. L., Giese, A., Etherton, M. R., Wu, O., Groot, M. D., Niessen, W., Vernooij, M., Rost, N. S. & Schirmer, M. D., 2020, In: Medical Image Analysis. 63, 14 p., 101698.

    Research output: Contribution to journalJournal articleResearchpeer-review

  24. Published

    Preface

    Arbel, T., Ayed, I. B., de Bruijne, Marleen, Descoteaux, M., Lombaert, H. & Pal, C., 2020, Proceedings of the Third Conference on Medical Imaging with Deep Learning – MIDL 2020. PMLR, Vol. 121. p. 1-5 (Proceedings of Machine Learning Research, Vol. 121).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

  25. 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 proceedingArticle in proceedingsResearchpeer-review

  26. Published

    Region-of-interest guided supervoxel inpainting for self-supervision

    Kayal, S., Chen, S. & de Bruijne, Marleen, 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer VS, p. 500-509 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12261 LNCS).

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

  27. Published

    Spatially regularized shape analysis of the hippocampus using P-spline based shape regression

    Achterberg, H. C., de Rooi, J., Vernooij, M., Ikram, A., Niessen, W., Eilers, P. & de Bruijne, Marleen, 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 3, p. 825-834

    Research output: Contribution to journalJournal articleResearchpeer-review

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