Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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Factors influencing the decline in lung density in a Danish lung cancer screening cohort
Shaker, S. B., Dirksen, A., Lo, P. C. P., Skovgaard, Lene Theil, de Bruijne, Marleen & Pedersen, J. H., 2012, In: European Respiratory Journal. 40, 5, p. 1142-1148 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans
Nyboe Ørting, S., Petersen, Jens, Cheplygina, V., Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 2018, Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 16, 2018 Proceedings. Stoyanov, D., Taylor, Z., Balocco, S. & Sznitman, R. (eds.). Springer, p. 140-149 Chapter 16. (Lecture Notes in Computer Science, Vol. 11043).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Feature-space transformation improves supervised segmentation across scanners
van Opbroek, A., Achterberg, H. C. & de Bruijne, Marleen, 2015, Machine learning meets medical imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers. Springer, p. 85-93 9 p. (Lecture notes in computer science, Vol. 9487).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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First current density measurements with tangential Thomson scattering at RTP
Karelse, F. A., Barth, C. J., Beurskens, M. N. A., de Bruijne, Marleen, Hogeweij, G. M. D., Cardozo, N. J. L., Meiden, H. J. V. D., Pijper, F. J. & RTP-team, T., 1 Sep 1997, Proceedings of the 8th International Symposium on Laser-aided Plasma Diagnostics. p. 253-258 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Fluoroscopic assessment of femoral kinematics using a statistical shape model
Baka, N., de Bruijne, Marleen, van Walsum, T., Kaptein, B., Giphart, E., Schaap, M., Niessen, W. & Lelieveldt, B., 2012, EORS 2012 Amsterdam: European Orthopaedic Research Society 20th annual meeting. EORS , p. 147148 2 p. 5B.2Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
Fully automated lung volume assessment from MRI in a population-based child cohort study
Ivanovska, T., Ciet, P., Rerez-Rovira, A., Nguyen, A., Tiddens, H., Duijts, L., de Bruijne, Marleen & Wörgötter, F., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS Digital Library, Vol. 6. p. 53-58 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Fully automated measurement of radiological angles in hip dysplasia using CT images
de Raedt, S., de Bruijne, Marleen, Mechlenburg, I., Stilling, M., Rømer, L. & Søballe, K., 2012. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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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, Marleen, 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 proceeding › Article in proceedings › Research › peer-review
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Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations
SpiroMeta Consortium, S. C., International COPD Genetics Consortium, I. C. G. C. & Understanding Society Scientific Group, U. S. S. G., 2019, In: Nature Genetics. 51, 3, p. 494-505Research output: Contribution to journal › Journal article › Research › peer-review
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Geodesic atlas-based labeling of anatomical trees: application and evaluation on airways extracted from CT
Feragen, A., Petersen, Jens, Owen, M., Lo, P., Thomsen, L. H., Wille, M. M. W., Dirksen, A. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 6, p. 1212-1226 15 p.Research 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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Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty
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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
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