Marleen de Bruijne
Professor
Machine Learning
Universitetsparken 1, 2100 København Ø
- 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. 2703-2711Research output: Contribution to journal › Journal article › Research › peer-review
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
- 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
- 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
- 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
- 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
- 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. 7837-7849Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- 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
- 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. 4613-4623Research output: Contribution to journal › Journal article › Research › peer-review
ID: 545222
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Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
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2336
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Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty
Research output: Contribution to journal › Journal article › Research › peer-review
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2145
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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
Research output: Contribution to journal › Journal article › Research › peer-review
Published