Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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Reference values and variation of acetabular angles measured by computed tomography in 170 asymptomatic hips
Mechlenburg, I., Stilling, M., Rømer, L., de Bruijne, Marleen, Søballe, K. & de Raedt, S., 28 Feb 2019, In: Acta Radiologica. 60, 7, p. 895–901Research output: Contribution to journal › Journal article › Research › peer-review
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Technical challenges of quantitative chest MRI data analysis in a large cohort pediatric study
Nguyen, A. H., Perez-Rovira, A., Wielopolski, P. A., Hernandez Tamames, J. A., Duijts, L., de Bruijne, Marleen, Aliverti, A., Pennati, F., Ivanovska, T., Tiddens, H. A. W. M. & Ciet, P., 2019, In: European Radiology. 29, 6, p. 2770–2782Research output: Contribution to journal › Journal article › Research › peer-review
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Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies
Petersen, Jens, Arias-Lorza, A. M., Selvan, Raghav, Bos, D., van der Lugt, A., Pedersen, J. H., Nielsen, Mads & de Bruijne, Marleen, 1 Jan 2019, In: IEEE Transactions on Medical Imaging. 38, 7, p. 1559-1568 8599009.Research output: Contribution to journal › Journal article › 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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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
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Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses
Selvan, Raghav, Petersen, Jens, Pedersen, J. H. & de Bruijne, Marleen, 18 Oct 2019, In: Medical Physics. 46, 10, p. 4431-4440Research output: Contribution to journal › Journal article › Research › peer-review
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Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions
Tennakoon, R., Gostar, A. K., Hoseinnezhad, R., de Bruijne, Marleen & Bab-Hadiashar, A., 2019, Computer Vision - ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers. Li, H., Jawahar, C. V., Mori, G. & Schindler, K. (eds.). Springer, p. 590-604 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11363 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
for the Alzheimer’s Disease Neuroimaging Initiative, F. A. D. N. I., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019,Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer, p. 169-180 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11492 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Gray Matter Age Prediction as a Biomarker for Risk of Dementia
Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. J. & Roshchupkin, G. V., 15 Oct 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 21213-21218Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study
Wang, J., Knol, M., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M., Adams, H., Ikram, M. A., Niessen, W. & Roshchupkin, G., 2019, In: bioRxiv. 17 p., 518506.Research output: Contribution to journal › Journal article › Research
ID: 545222
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Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
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2339
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Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty
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2152
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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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