Marleen de Bruijne

Marleen de Bruijne

Professor

ORCID: 0000-0002-6328-902X

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  1. Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images

    de Bruijne, Marleen, van Ginneken, B., Viergever, M. A. & Niessen, W. J., 2003, Information Processing in Medical Imaging: 18th International Conference, IPMI 2003. Ambleside, UK, July 20- 25, 2003. Proceedings. <Forlag uden navn>, p. 136-147 (Lecture notes in computer science, Vol. 2732/2003).

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

  2. Published

    Adversarial attack vulnerability of medical image analysis systems: Unexplored factors

    Bortsova, G., González-Gonzalo, C., Wetstein, S. C., Dubost, F., Katramados, I., Hogeweg, L., Liefers, B., van Ginneken, B., Pluim, J. P. W., Veta, M., Sánchez, C. I. & de Bruijne, Marleen, 2021, In: Medical Image Analysis. 73, 14 p., 102141.

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

  3. Published

    Air trapping in cystic fibrosis (CF) evaluated using ultra low dose computed tomography (CT): implications for sample size in clinical studies

    Loeve, M., Lequin, M. H., de Bruijne, Marleen, Hartmann, I. J., Hop, W. C. & Tiddens, H. A. W. M., 2008.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  4. Published

    Airway Tree Extraction with Locally Optimal Paths

    Lo, P. C. P., Sporring, Jon, Pedersen, J. J. H. & de Bruijne, Marleen, 2009, MICCAI 2009. p. 51-58 8 p.

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

  5. Published

    Airway distensibility in chronic obstructive pulmonary disease – evaluation by CT airway segmentation and lung density measurement based on the Danish lung cancer screening trial

    M. W. Wille, M., Petersen, Jens, Dirksen, A., Pedersen, J. J. H. & de Bruijne, Marleen, 2013, In: American Journal of Respiratory and Critical Care Medicine. 187, p. A2871 1 p.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  6. 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 journal › Journal article › Research › peer-review

  7. An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images

    Chen, S. & de Bruijne, Marleen, 8 Nov 2018. 4 p.

    Research output: Contribution to conference › Paper › Research › peer-review

  8. Published

    An airway tree-shape model for geodesic airway branch labeling

    Feragen, A., Lo, P. C. P., Gorbunova, V., Nielsen, Mads, Dirksen, A., Reinhardt, J. M., Lauze, Francois Bernard & de Bruijne, Marleen, 2011, MFCA 2011: 3rd MICCAI Workshop on Mathematical Foundations of Computational Anatomy. Pennec, X., Joshi, S. & Nielsen, M. (eds.). p. 123-134 12 p.

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

  9. Published

    An automatic system for segmentation, matching, anatomical labeling and measurement of airways from CT images

    Petersen, Jens, Feragen, A., Owen, M., Lo, P., Wille, M. M. W., Thomsen, L. H., Dirksen, A. & de Bruijne, Marleen, 2013. 1 p.

    Research output: Contribution to conference › Poster › Research › peer-review

  10. 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

  11. Published

    Aorta and pulmonary artery segmentation using optimal surface graph cuts in non-contrast CT

    Sedghi Gamechi, Z., Arias-Lorza, A. M., Pedersen, J. H. & de Bruijne, Marleen, 2018, Medical Imaging 2018: Image Processing. SPIE - International Society for Optical Engineering, 7 p. 105742D. (Proceedings of SPIE International Symposium on Medical Imaging, Vol. 10574).

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

  12. Published

    Assessment of fully automatic segmentation of pulmonary artery and aorta on non-contrast CT with optimal surface graph cuts

    Gamechi, Z. S., Arias-Lorza, A. M., Saghir, Z., Bos, D. & de Bruijne, Marleen, 2021, In: Medical Physics. 48, 12, p. 7837-7849

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

  13. 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

  14. Published

    Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty

    van Engelen, A., Niessen, W. J., Klein, S., Groen, H. C., Verhagen, H. J. M., Wentzel, J. J., van der Lugt, A. & de Bruijne, Marleen, 2014, In: PLoS ONE. 9, 4, 14 p., e94840.

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

  15. Published

    Automated 3D segmentation and diameter measurement of the thoracic aorta on non-contrast enhanced CT

    Sedghi Gamechi, Z., Bons, L. R., Giordano, M., Bos, D., Budde, R. P. J., Kofoed, Klaus Fuglsang, Pedersen, J. H., Roos-Hesselink, J. W. & de Bruijne, Marleen, 23 Jan 2019, In: European Radiology. 29, 9, p. 4613-4623

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

  16. 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 proceeding › Article in proceedings › Research › peer-review

  17. Published

    Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites

    Dubost, F., Dünnwald, M., Huff, D., Scheumann, V., Schreiber, F., Vernooij, M., Niessen, W., Skalej, M., Schreiber, S., Oeltze-Jafra, S. & de Bruijne, Marleen, 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). Springer VS, p. 103-111 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11796 LNCS).

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

  18. Published

    Automated Quantification of the Morphological Atherosclerotic Calcification Distribution on X-Rays Is a Strong Predictor of Mortality in Postmenopausal Women

    Christiansen, C., Karsdal, M., Lauze, Francois Bernard, Dam, E., Ganz, Melanie, de Bruijne, Marleen, Sørensen, M., Barascuk, N. & Nielsen, Mads, 2008, In: Arteriosclerosis, Thrombosis, and Vascular Biology. 6, p. e48-e48 1 p.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  19. Published

    Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CT

    Bortsova, G., Bos, D., Dubost, F., Vernooij, M. W., Ikram, M. K., van Tulder, G. & de Bruijne, Marleen, Sep 2021, In: Radiology: Artificial Intelligence. 3, 5, 10 p., e200226.

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

  20. Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images

    de Bruijne, Marleen, van Ginneken, B., Bartels, L. W., van der Laan, M. J., Blankensteijn, J. D., Niessen, W. J. & Viergever, M. A., 2003, Medical Image Computing and Computer-Assisted Intervention - MICCAI. <Forlag uden navn>, p. 538-545 (Lecture notes in computer science, Vol. 2879/2003).

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

  21. Published

    Automated brain structure segmentation based on atlas registration and appearance models

    van der Lijn, F., de Bruijne, Marleen, Klein, S., den Heijer, T., Hoogendam, Y. Y., van der Lugt, A., Breteler, M. M. B. & Niessen, W. J., 2012, In: IEEE Transactions on Medical Imaging. 31, 2, p. 276-286 11 p.

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

  22. Published

    Automated brain-tissue segmentation by multi-feature SVM classification

    van Opbroek, A., van der Lijn, F. & de Bruijne, Marleen, 2013, The MICCAI Grand Challenge on MR Brain Image Segmentation (MRBrainS13). 8 p. (The MIDAS Journal).

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

  23. Published

    Automated lesion detection by regressing intensity-based distance with a neural network

    van Wijnen, K. M. H., Dubost, F., Yilmaz, P., Ikram, M. A., Niessen, W. J., Adams, H., Vernooij, M. W. & 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. 234-242 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11767 LNCS).

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

  24. Published

    Automated measurement of diagnostic angles for hip dysplasia

    de Raedt, S., Mechlenburg, I. B., Stilling, M., Mikkelsen, L. R., Søballe, K. & de Bruijne, Marleen, 2013, Medical Imaging 2013: Computer-Aided Diagnosis. Novak, C. L. & Aylward, S. (eds.). SPIE - International Society for Optical Engineering, 10 p. 867009. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 8670).

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

  25. Published

    Automated measurement of local white matter lesion volume

    van der Lijn, F., Verhaaren, B. F. J., Ikram, M. A., Klein, S., de Bruijne, Marleen, Vrooman, H. A., Vernooij, M. W., Hammers, A., Rueckert, D., van der Lugt, A., Breteler, M. M. B. & Niessen, W. J., 2012, In: NeuroImage. 59, 4, p. 3901-3908 8 p.

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

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