Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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Relation between wall shear stress and carotid artery wall thickening MRI versus CFD
Cibis, M., Potters, W. V., Selwaness, M., Gijsen, F. J., Franco, O. H., Arias Lorza, A. M., de Bruijne, Marleen, Hofman, A., van der Lugt, A., Nederveen, A. J. & Wentzel, J. J., 2016, In: Journal of Biomechanics. 49, 5, p. 735-741 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Reliability of computer-assisted periacetabular osteotomy using a minimally invasive approach
De Raedt, S., Mechlenburg, I., Stilling, M., Rømer, L., Murphy, R. J., Armand, M., Lepistö, J., de Bruijne, Marleen & Søballe, K., 2018, In: International Journal of Computer Assisted Radiology and Surgery. 13, 12, p. 2021-2028 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Reply: Excess risk of cancer from computed tomography scan is small but not so low as to be incalculable
Rosenow, T., Oudraad, M. C. J., Murray, C. P., Turkovic, L., Kuo, W., de Bruijne, Marleen, Ranganathan, S. C., Tiddens, H. A. W. M. & Stick, S. M., 2015, In: American Journal of Respiratory and Critical Care Medicine. 192, 11, p. 1397-1399 3 p.Research output: Contribution to journal › Journal article › Research
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Representation learning for cross-modality classification
Tulder, G. V. & de Bruijne, Marleen, 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (eds.). Springer, p. 126-136 11 p. (Lecture notes in computer science, Vol. 10081).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction
Dudurych, I., Garcia-Uceda, A., Petersen, Jens, Du, Y., Vliegenthart, R. & de Bruijne, Marleen, 2023, In: European Radiology. 33, p. 6718–6725Research output: Contribution to journal › Journal article › Research › peer-review
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Respiratory muscle movement in Pompe disease using cine Magnetic Resonance Imaging
Ciet, P., Wens, S., Perez-Rovira, A., Logie, K., Wielopolski, P., de Bruijne, Marleen, Ploeg, A. V. D., Doorn, P. V. & Tiddens, H., 2013.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Reversibility of trapped air on CT scans of cystic fibrosis patients, an automated approach
Loeve, M., de Bruijne, Marleen, Gorbunova, V., Hop, W. C. & Tiddens, H. A. W. M., 2011, In: Journal of Cystic Fibrosis. 10 , Supplement 1 , p. S51 1 p., 201.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Reversibility of trapped air on chest computed tomography in cystic fibrosis patients
Loeve, M., Rosenow, T., Gorbunova, V., Hop, W. C. J., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2015, In: European Journal of Radiology. 84, 6, p. 1184-1190 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Robust shape regression for supervised vessel segmentation and its application to coronary segmentation in CTA
Schaap, M., van Walsum, T., Neefjes, L., Metz, C., Capuano, E., de Bruijne, Marleen & Niessen, W., 2011, In: IEEE Transactions on Medical Imaging. 30, 11, p. 1974-1986 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Scalable kernels for graphs with continuous attributes
Feragen, A., Kasenburg, N., Petersen, Jens, de Bruijne, Marleen & Borgwardt, K., 2013, 27th Annual Conference on Neural Information Processing Systems 2013: NIPS 2013. Burges, C. J. C., Bottou, L., Welling, M., Ghahramani, Z. & Weinberger, K. Q. (eds.). Curran Associates, Inc., p. 216-224 9 p. (Advances in Neural Information Processing Systems, Vol. 26).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
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2146
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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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