Marleen de Bruijne

Marleen de Bruijne

Professor


  1. 2020
  2. Udgivet

    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, okt. 2020, I: Medical Image Analysis. 65, 22 s., 101767.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    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, s. 586-590 9098581

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. Udgivet

    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, I: Computers in Biology and Medicine. 116, 11 s., 103586.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  5. Udgivet

    Airway tapering: An objective image biomarker for bronchiectasis

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  6. Udgivet

    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. (red.). Springer VS, s. 88-94 7 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11963 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    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, I: American Journal of Roentgenology. 214, 6, s. 1269-1279

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  8. Udgivet

    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, I: IEEE Transactions on Medical Imaging. 39, 4, s. 854-865

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. Udgivet

    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, I: Medical Image Analysis. 64, 12 s., 101751.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  10. Udgivet

    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, I: International Journal of Cardiology. 299, s. 276-281

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  11. Udgivet

    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, I: IEEE Journal of Biomedical and Health Informatics. 24, 4, s. 1149 -1159

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  12. Udgivet

    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, I: Medical Image Analysis. 63, 14 s., 101698.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  13. Udgivet

    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, Bind 121. s. 1-5 (Proceedings of Machine Learning Research, Bind 121).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskning

  14. Udgivet

    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. (red.). Springer, s. 32-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12443 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  15. Udgivet

    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. (red.). Springer VS, s. 500-509 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12261 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  16. Udgivet

    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, I: IEEE Journal of Biomedical and Health Informatics. 24, 3, s. 825-834

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  17. Udgivet

    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, I: Computer Methods and Programs in Biomedicine. 184, 10 s., 105276.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  18. Udgivet

    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, I: arXiv.org. 17 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

ID: 545222