Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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Why is the winner the best?
Eisenmann, M., Reinke, A., Weru, V., Tizabi, M. D., Isensee, F., Adler, T. J., Ali, S., Andrearczyk, V., Aubreville, M., Baid, U., Bakas, S., Balu, N., Bano, S., Bernal, J., Bodenstedt, S., Casella, A., Cheplygina, V., Daum, M., Bruijne, M. D., Depeursinge, A. & 105 others, , 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, p. 19955-19966Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Why does synthesized data improve multi-sequence classification?
van Tulder, G. & de Bruijne, Marleen, 2015, Medical image computing and computer assisted interventions - MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Springer, p. 531-538 8 p. (Lecture notes in computer science, Vol. 9349).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
ALFA study, A. S., 2024, In: Medical Image Analysis. 91, 23 p., 103029.Research output: Contribution to journal › Journal article › Research › peer-review
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Weighting training images by maximizing distribution similarity for supervised segmentation across scanners
van Opbroek, A., Vernooij, M. W., Ikram, M. A. & de Bruijne, Marleen, 2015, In: Medical Image Analysis. 24, 1, p. 245-254 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Weight preserving image registration for monitoring disease progression in lung CT.
Gorbunova, V., Lo, P. C. P., Haseem, A., Dirksen, A., Nielsen, Mads & de Bruijne, Marleen, 2008, Mecical Image Computing and Computer-Assisted Intervention - MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, proceedings, Part II. Metaxas, D., Axel, L., Fichtinger, G. & Szekely, G. (eds.). Springer, p. 863-871 8 p. (Lecture notes in computer science; No. 5242).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Weakly supervised object detection with 2D and 3D regression neural networks
Dubost, F., Adams, H., Yilmaz, P., Bortsova, G., Tulder, G. V., Ikram, M. A., Niessen, W., Vernooij, M. W. & de Bruijne, Marleen, Oct 2020, In: Medical Image Analysis. 65, 22 p., 101767.Research output: Contribution to journal › Journal article › Research › peer-review
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Voxel classification based airway tree segmentation
Lo, P. C. P. & de Bruijne, Marleen, 2008, Medical Imaging 2008: Image Processing, San Diego, Calif., USA, February 17, 2008, Conference proceedings. Reinhardt, J. M. & Pluim, J. P. W. (eds.). SPIE - International Society for Optical Engineering, p. Article 69141K (Proceedings of the SPIE; No. 6914).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Voxel Classification Based Vessel-guided Airway Segmentation
Lo, P. C. P., Sporring, Jon, Ashraf, H., Pedersen, J. H. J. & de Bruijne, Marleen, 2008, Proceedings of the Danish Conference on Pattern Recognition and Image Analysis: Organised by Danish Society for Automatic Pattern Recognition (Dansk Selskab for automatisk genkendelse af mønstre), Departmen of Computer Science, University of Copenhagen, Thursday 21 August 2008. Olsen, S. I. (ed.). Museum Tusculanum, p. 8-9 (Datalogisk Institut. Københavns Universitet. Technical Reports; No. 08-10).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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Volumetric ultra low dose expiratory computed tomography scans could be sufficient to monitor CF lung disease
Loeve, M., Lequin, M. H., de Bruijne, Marleen, Hartmann, I., Hop, W. C. & Tiddens, H. A., 2008, In: Journal of Cystic Fibrosis. S2, p. S59 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Visual assessment of early emphysema and interstitial abnormalities on CT is useful in lung cancer risk analysis
Wille, M. M. W., Thomsen, L. H., Petersen, Jens, de Bruijne, Marleen, Dirksen, A., Pedersen, J. H. & Shaker, S. B., 2016, In: European Radiology. 26, 2, p. 487-494 8 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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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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