Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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Tribute Workshop for Peter Johansen
Nielsen, Mads (ed.), de Bruijne, Marleen (ed.), Jørgensen, Camilla Holm (ed.), Olsen, Søren Ingvor (ed.), Steenstrup Pedersen, Kim (ed.) & Sporring, Jon (ed.), 2008, Berlin: Springer. 151 p. (Journal of Mathematical Imaging and Vision; No. 31(2-3)p.119-269).Research output: Book/Report › Anthology › Research
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Tree-space statistics and approximations for large-scale analysis of anatomical trees
Feragen, A., Owen, M., Petersen, Jens, Wille, M. M. W., Thomsen, L. H., Dirksen, A. & de Bruijne, Marleen, 2013, Information Processing in Medical Imaging: 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28–July 3, 2013. Proceedings. Gee, J. C., Joshi, S., Pohl, K. M., Wells, W. M. & Zöllei, L. (eds.). Springer, p. 74-85 12 p. (Lecture notes in computer science, Vol. 7917).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Transfer learning improves supervised image segmentation across imaging protocols
van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 5, p. 1018-1030 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Transfer learning for multicenter classification of chronic obstructive pulmonary disease
Cheplygina, V., Peña, I. P., Pedersen, J. J. H., Lynch, D. A., Sørensen, L. & de Bruijne, Marleen, Sep 2018, In: IEEE Journal of Biomedical and Health Informatics. 22, 5, p. 1486 - 1496Research output: Contribution to journal › Journal article › Research › peer-review
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Transfer learning by feature-space transformation: A method for Hippocampus segmentation across scanners
van Opbroek, A., Achterberg, H. C., Vernooij, M. W., Arfan Ikram, M. & de Bruijne, Marleen, 2018, In: NeuroImage: Clinical. 20, p. 466-475 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning
van Opbroek, A., Achterberg, H. C., Vernooij, M. W. & de Bruijne, Marleen, 2019, In: IEEE Transactions on Medical Imaging. 38, 1, p. 213-224 8419778.Research output: Contribution to journal › Journal article › Research › peer-review
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Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners
Cheplygina, V., Opbroek, A. V., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2020, In: arXiv.org. 17 p.Research output: Contribution to journal › Journal article › Research
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Tracheomalacia assessment in pediatric patients with MRI: preliminary report
Ciet, P., Wielopolski, P. A., Lever, S., de Bruijne, Marleen, Lequin, M. H. & Tiddens, H. A., 2010.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Towards exaggerated emphysema stereotypes
Chen, C., Sørensen, L., Lauze, Francois Bernard, Igel, Christian, Loog, M., Feragen, A., de Bruijne, Marleen & Nielsen, Mads, 2012, Medical Imaging 2012: Computer-Aided Diagnosis. van Ginneken, B. & Novak, C. L. (eds.). SPIE - International Society for Optical Engineering, 13 p. 83150Q. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 7964). (Progress in Biomedical Optics and Imaging; No. 31, Vol. 13).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT
Murphy, K., Pluim, J. P. W., Rikxoort, E. M. V., Jong, P. A. D., Hoop, B. D., Gietema, H. A., Mets, O., de Bruijne, Marleen, Lo, P. C. P., Prokop, M. & Ginneken, B. V., 2012, In: Medical Physics. 39, 3, p. 1650-1662 13 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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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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