Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
- 2017
- Published
Automated registration of freehand B-mode ultrasound and magnetic resonance imaging of the carotid arteries based on geometric features
Carvalho, D. D. B., Arias Lorza, A. M., Niessen, W. J., de Bruijne, Marleen & Klein, S., 2017, In: Ultrasound in Medicine & Biology. 43, 1, p. 273–285 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Crowdsourced emphysema assessment
Ørting, S. N., Cheplygina, V., Petersen, Jens, Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 2017, Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Lee, S-L., Cheplygina, V., Balocco, S., Mateus, D., Zahnd, G., Maier-Hein, L., Dermirci, S., Granger, E., Duong, L., Carbonneau, M-A., Albarquoni, S. & Carneiro, G. (eds.). Springer, p. 126-135 10 p. (Lecture notes in computer science, Vol. 10552).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Do you trust your multiple instance learning classifier?
Cheplygina, V., Sørensen, L., Tax, D. M. J., de Bruijne, Marleen & Loog, M., 2017, Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning. Duivesteijn, W., Pechenizkiy, M., Fletcher, G., Menkovski, V., Postma, E., Vanschoren, J. & van der Putten, P. (eds.). p. 72-73 2 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
Evaluating classifiers for atherosclerotic plaque component segmentation in MRI
van Engelen, A., de Bruijne, Marleen, Schneider, T., van Dijk, A. C., Kooi, M. E., Hendrikse, J., Nederveen, A., Niessen, W. & Botnar, R. M., 2017, Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings. Hernández, M. V. & González-Castro, V. (eds.). Springer, Vol. 723. p. 156-168 13 p. (Communications in Computer and Information Science, Vol. 723).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing
Selvan, Raghav, Petersen, Jens, Pedersen, J. J. H. & de Bruijne, Marleen, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Ferrante, E., Pennec, X., Dalca, A. V., Parisot, S., Joshi, S., Batmanghelich, N. K., Sotiras, A., Nielsen, M., Sabuncu, M. R., Fletcher, T., Shen, L., Durrleman, S. & Sommer, S. (eds.). Springer, p. 53-63 (Lecture notes in computer science, Vol. 10551).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Fully automated lung volume assessment from MRI in a population-based child cohort study
Ivanovska, T., Ciet, P., Rerez-Rovira, A., Nguyen, A., Tiddens, H., Duijts, L., de Bruijne, Marleen & Wörgötter, F., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS Digital Library, Vol. 6. p. 53-58 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
GP-Unet: Lesion detection from weak labels with a 3D regression network
Dubost, F., Bortsova, G., Adams, H., Ikram, A., Niessen, W. J., Vernooij, M. & de Bruijne, Marleen, 2017, Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D. L. & Duschesne, S. (eds.). Springer, p. 214-221 8 p. (Lecture notes in computer science, Vol. 10435).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- Published
Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks
Bortsova, G., van Tulder, G., Dubost, F., Peng, T., Navab, N., van der Lugt, A., Bos, D. & de Bruijne, Marleen, 2017, Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D. L. & Duchesne, S. (eds.). Springer, p. 356-364 9 p. (Lecture notes in computer science, Vol. 10435).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Objective airway artery dimensions compared to CT scoring methods assessing structural cystic fibrosis lung disease
Kuo, W., Andrinopoulou, E., Perez-Rovira, A., Ozturk, H., de Bruijne, Marleen & Tiddens, H. A. W. M., Jan 2017, In: Journal of Cystic Fibrosis. 16, 1, p. 116–123 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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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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Published