Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models
Baka, N., Kaptein, B. L., de Bruijne, Marleen, van Walsum, T., Giphart, J. E., Niessen, W. J. & Lelieveldt, B. P. F., 2011, In: Medical Image Analysis. 15, 6, p. 840-850 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
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3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI
Dubost, F., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, Marleen, Jan 2019, In: Medical Image Analysis. 51, p. 89-100Research output: Contribution to journal › Journal article › Research › peer-review
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3D+t/2D+t CTA-XA registration using population-based motion estimates
Baka, N., Metz, C. T., Schultz, C., Neefjes, L., van Geuns, R. J., Lelieveldt, B. P. F., Niessen, W. J., de Bruijne, Marleen & van Walsum, T., 2012, Proceedings, MICCAI-STENT'12: 1st MICCAI-Workshop on Computer Assisted Stenting . Demirci, L. & Radeva, U. (eds.). MICCAI , p. 64-71 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A Computer-based Measure Using Normalized Heights Predicts Vertebral Fracture Independent of BMD in Post-menopausal Women
A. Ghosh, de Bruijne, Marleen, C. Pettersen, M. A. Karsdal, D. J. Leeming, C. Christiansen, P. & Nielsen, Mads, 2008, In: Journal of Bone and Mineral Research. suppl. S, p. S333 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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A Computer-based Measure of Irregularity in Vertebral Alignment is a BMD-independent Predictor of Fracture Risk in Postmenopausal Women
Pettersen, P., de Bruijne, Marleen, Chen, J., He, Q., Christiansen, C. & Tankó, L. B., 2007, In: Osteoporosis International. 18, 11, p. 1525-1530Research output: Contribution to journal › Journal article › Research › peer-review
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A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation
Kouw, W. M., Ørting, S. N., Petersen, Jens, Steenstrup Pedersen, Kim & de Bruijne, Marleen, 1 Jan 2019, Information Processing in Medical Imaging : 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer, p. 360-371 (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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A Family of Principal Component Analyses for Dealing with Outliers
Iglesias, J. E., de Bruijne, Marleen, Loog, M., Lauze, F. B. & Nielsen, Mads, 2007, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007: 10th International Conference, Brisbane, Australia, October 29- November 2, 2007, Proceedings, Part II. Ayache, N., Ourselin, S. & Maeder, A. (eds.). Springer, p. 178-185 (Lecture notes in computer science; No. 4792).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
Camarasa, R., Bos, D., Hendrikse, J., Nederkoorn, P., Kooi, M. E., Lugt, A. V. D. & de Bruijne, Marleen, 22 Sep 2021, In: The Journal of Machine Learning for Biomedical Imaging. 2021, p. 1-39 013.Research output: Contribution to journal › Journal article › Research › peer-review
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A bottom-up approach for labeling of human airway trees
Lo, P., van Rikxoort, E. M., Goldin, J., Abtin, F., de Bruijne, Marleen & Brown, M., 2011, The Fourth International Workshop on Pulmonary Image Analysis . Beichel, R., de Bruijne, M., Kabus, S., Kiraly, A., Kuhnigk, J-M., McClelland, J., Mori, K., van Rikxoort, E. & Rit, S. (eds.). CreateSpace, p. 23-34 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A computer aided detection system for cerebral microbleeds in brain MRI
Ghafaryasl, B., van der Lijn, F., Poels, M., Vrooman, H., Ikram, M. A., Niessen, W. J., van der Lugt, A., Vernooij, M. & de Bruijne, Marleen, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE, p. 138-141 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A computer-aided diagnosis system for the early and differential diagnosis of neurodegenerative disease
Vrooman, H. A., Jasperse, M. M. S., Koek, M., Achterberg, F. V. D. L. A. H. C., de Bruijne, Marleen, Lugt, A. V. D. & Niessen, W. J., 2011, ECR Conference Proceedings 2011.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
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A computer-based measure of irregularity in the alignment of vertebrae in the lumbar spine is a BMD-independent predictor of fracture risk in postmenopausal women
Pettersen, P. C., de Bruijne, Marleen, Chen, J., He, Q., Christiansen, C. & Tankó, L. B., 2007, Abstracts of the 34th European symposium on calcified Tissues. Springer, p. S142 1 p. (Calcified Tissue International; No. Vol. 80 (suppl. 1)).Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
A genome-wide association study identifies five loci influencing facial morphology in Europeans
Liu, F., van der Lijn, F., Schurmann, C., Zhu, G., Chakravarty, M. M., Hysi, P. G., Wollstein, A., Lao, O., de Bruijne, M., Ikram, M. A., van der Lugt, A., Rivadeneira, F., Uitterlinden, A. G., Hofman, A., Niessen, W. J., Homuth, G., de Zubicaray, G., McMahon, K. L., Thompson, P. M., Daboul, A. & 14 others, , 2012, In: P L o S Genetics. 8, 9, 13 p., e1002932.Research output: Contribution to journal › Journal article › Research › peer-review
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A geometric framework for statistics on trees
Feragen, A., Nielsen, Mads, Hauberg, S., Lo, P. C. P., de Bruijne, Marleen & Lauze, Francois Bernard, 2011, Department of Computer Science, University of Copenhagen. 47 p. (Koebenhavns Universitet. Datalogisk Institut. Rapport; No. 11/02).Research output: Book/Report › Report › Research
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A hierarchical scheme for geodesic anatomical labeling of airway trees
Feragen, A., Petersen, Jens, Owen, M., Lo, P. C. P., Thomsen, L., Wille, M. M. W., Dirksen, A. & de Bruijne, Marleen, 2012, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III. Ayache, N., Delingette, H., Golland, P. & Mori, K. (eds.). Springer, p. 147-155 9 p. (Lecture notes in computer science, Vol. 7512).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
Juarez, A. G., Selvan, Raghav, Saghir, Zaigham & de Bruijne, Marleen, 22 Aug 2019, Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Springer, p. 583-591 (Lecture Notes in Computer Science, Vol. LNCS 11861).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A longitudinal follow-up of COPD disease progression in a large cohort of smokers screened for early lung cancer: CBQ study
Ashraf, H., Edula, G., de Bruijne, Marleen, Nielsen, Mads, Dahlbäck, A. D. M. & Pedersen, J. H., 2009, In: American Journal of Respiratory and Critical Care Medicine. p. A1492 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
A method of deriving a quantitative measure of a degree of calcification of an aorta
de Bruijne, Marleen, Nielsen, M., Christiansen, C., Conrad-Hansen, L. A. & Lauze, F. B., 2006, Patent No. WO/2006/128729Research output: Patent
A novel computer-based quantitative measurement of vertebral deformity in postmenopausal women: Implications for diagnosis and monitoring
de Bruijne, Marleen, Pettersen, P. C., Lund, M. T., Alexandersen, P., Tankó, L. B., Nielsen, M. & Christiansen, C., 2006, Abstracts of the 28th Annual Meeting of the American Society for Bone and Mineral Research. ASMBRResearch output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
A pattern classification approach to aorta calcium scoring in radiographs
de Bruijne, Marleen, 2005, Computer Vision for Biomedical Image Applications: ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends. <Forlag uden navn>, p. 170-177 (Lecture notes in computer science, Vol. 3765/2005).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images
Conrad-Hansen, L., de Bruijne, Marleen, Lauze, F., Tankó, L. B. & Nielsen, M., 2006, Medical Imaging: Image Processing. Pluim, J. P. W. & Reinhardt, J. M. (eds.). (Proceedings of SPIE; No. 6144).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A texton-based approach for the classification of lung parenchyma in CT images
Gangeh, M. J., Sørensen, L., Shaker, S. B., Kamel, M. S., de Bruijne, Marleen & Loog, M., 2010, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III. Jiang, T., Navab, N., Pluim, J. P. W. & Viergever, M. A. (eds.). Springer, Vol. Part III. p. 595-602 8 p. (Lecture notes in computer science; No. 6363).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A transfer-learning approach to image segmentation across scanners by maximizing distribution similarity
van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2013, Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Wu, G., Zhang, D., Shen, D., Yan, P., Suzuki, K. & Wang, F. (eds.). Springer, p. 49-56 8 p. (Lecture notes in computer science, Vol. 8184).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network
Zhang, C., Dubost, F., de Bruijne, Marleen, Klein, S. & Poot, D. H. J., 1 Jan 2019, Machine Learning for Medical Image Reconstruction : Second International Workshop, MLMIR 2019 Held in Conjunction with MICCAI 2019 Shenzhen, China, October 17, 2019, Proceedings. Knoll, F., Maier, A., Rueckert, D. & Ye, J. C. (eds.). Springer VS, p. 36-46 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11905 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Active shape model based segmentation of abdominal aortic aneurysms in CTA images
de Bruijne, Marleen, van Ginneken, B., Niessen, W., Maintz, J. & Viergever, M., 2002, MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3. Vol. 4684. p. 463-474Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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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