Marleen de Bruijne
Professor
Datalogisk Institut
Universitetsparken 1, Bygning: 3-1-09
2100 2100 København Ø
Danmark
Machine Learning
Universitetsparken 5, 2100 København Ø
Marleen de Bruijne is associate professor of medical image analysis at Erasmus MC - University Medical Center Rotterdam, The Netherlands, and professor of medical image analysis at University of Copenhagen, Denmark. She received an MSc degree in physics (1997) and a PhD degree in medical imaging (2003) both from Utrecht University, The Netherlands. Before joining the University of Copenhagen (2007) and Erasmus MC (2008) she was assistant professor and later associate professor at the IT University of Copenhagen. Marleen has (co-)authored 180 peer-reviewed full papers in international conferences and journals and 19 patent applications. She has been a member of the program committee of many international conferences in medical imaging and computer vision, associate editor for Image and Vision Computing and Medical Physics, and is a member of the IPMI board, the ISBI Steering Committee, and of the editorial boards of Medical Image Analysis and Frontiers in ICT - Computer Image Analysis. Her research interest is in quantitative analysis of medical images, with a focus on machine learning techniques and with applications in pulmonary imaging, neuro imaging, and cardiovascular imaging.
Udvalgte publikationer
- Udgivet
Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning
van Opbroek, A., Achterberg, H. C., Vernooij, M. W. & de Bruijne, M., 2019, I : IEEE transactions on medical imaging. 38, 1, s. 213-224 8419778.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction
Raghavendra, S., Welling, M., Pedersen, J. J. H., Petersen, J. & de Bruijne, M., 2018, Medical Image Computingand Computer AssistedIntervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16–20, 2018, Proceedings, Part II. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (red.). Springer, s. 750-758 (Lecture notes in computer science, Bind 11071).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Detecting emphysema with multiple instance learning
Orting, S. N., Petersen, J., Thomsen, L. H., Wille, M. M. W. & De Bruijne, M., 23 maj 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE, s. 510-513Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Maximization of regional probabilities using Optimal Surface Graphs: application to carotid artery segmentation in MRI
Arias Lorza, A. M., Van Engelen, A., Petersen, J., Van Der Lugt, A. & De Bruijne, M., 1 mar. 2018, I : Medical Physics. 45, 3, s. 1159-1169Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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, M., sep. 2018, I : IEEE Journal of Biomedical and Health Informatics. 22, 5, s. 1486 - 1496Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Diagnosis of bronchiectasis and airway wall thickening in children with cystic fibrosis: objective airway-artery quantification
Kuo, W., de Bruijne, M., Petersen, J., Nasserinejad, K., Ozturk, H., Chen, Y., Perez-Rovira, A. & Tiddens, H. A. W. M., nov. 2017, I : European Radiology. 27, 11, s. 4680-4689 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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, M., 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. (red.). Springer, s. 356-364 9 s. (Lecture notes in computer science, Bind 10435).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Extraction of airways with probabilistic state-space models and Bayesian smoothing
Raghavendra, S., Petersen, J., Pedersen, J. J. H. & de Bruijne, M., 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. (red.). Springer, s. 53-63 11 s. (Lecture notes in computer science, Bind 10551).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, M., 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. (red.). Springer, s. 214-221 8 s. (Lecture notes in computer science, Bind 10435).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Crowdsourced emphysema assessment
Ørting, S. N., Cheplygina, V., Petersen, J., Thomsen, L. H., Wille, M. M. W. & de Bruijne, M., 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. (red.). Springer, s. 126-135 10 s. (Lecture notes in computer science, Bind 10552).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Machine learning approaches in medical image analysis: from detection to diagnosis
de Bruijne, M., 2016, I : Medical Image Analysis. 33, s. 94-97 4 s.Publikation: Bidrag til tidsskrift › Leder › Forskning › fagfællebedømt
- Udgivet
Automatic airway-artery analysis on lung CT to quantify airway wall thickening and bronchiectasis
Perez-Rovira, A., Kuo, W., Petersen, J., Tiddens, H. A. W. M. & de Bruijne, M., 2016, I : Medical Physics. 43, 10, s. 5736-5744 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Representation learning for cross-modality classification
Tulder, G. V. & de Bruijne, M., 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. (red.). Springer, s. 126-136 11 s. (Lecture notes in computer science, Bind 10081).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Weighting training images by maximizing distribution similarity for supervised segmentation across scanners
van Opbroek, A., Vernooij, M. W., Ikram, M. A. & de Bruijne, M., 2015, I : Medical Image Analysis. 24, 1, s. 245-254 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Transfer learning improves supervised image segmentation across imaging protocols
van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, M., 2015, I : IEEE transactions on medical imaging. 34, 5, s. 1018-1030 13 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Geodesic atlas-based labeling of anatomical trees: application and evaluation on airways extracted from CT
Feragen, A., Petersen, J., Owen, M., Lo, P., Thomsen, L. H., Wille, M. M. W., Dirksen, A. & de Bruijne, M., 2015, I : IEEE transactions on medical imaging. 34, 6, s. 1212-1226 15 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Three-dimensional carotid ultrasound plaque texture predicts vascular events
van Engelen, A., Wannarong, T., Parraga, G., Niessen, W. J., Fenster, A., Spence, J. D. & de Bruijne, M., 2014, I : Stroke. 45, s. 2695-2701 7 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease
Petersen, J., Nielsen, M., Lo, P. C. P., Nordenmark, L. H., Pedersen, J. J. H., Wille, M. M. W., Dirksen, A. & de Bruijne, M., 2014, I : Medical Image Analysis. 18, 3, s. 531-541 11 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Hippocampal shape is predictive for the development of dementia in a normal, elderly population
Achterberg, H. C., van der Lijn, F., den Heijer, T., Vernooij, M. W., Ikram, M. A., Niessen, W. J. & de Bruijne, M., 2014, I : Human Brain Mapping. 35, 5, s. 2359-2371 13 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Extraction of airways from CT (EXACT’09)
Lo, P. C. P., Ginneken, B. V., Reinhardt, J. M., Yavarna, T., Jong, P. A. D., Irving, B., Fetita, C., Ortner, M., Pinho, R., Sijbers, J., Feuerstein, M., Fabijanska, A., Bauer, C., Beichel, R., Mendoza, C. S., Wiemker, R., Lee, J., Reeves, A. P., Born, S., Weinheimer, O., Rikxoort, E. M. V., Tschirren, J., Mori, K., Odry, B., Naidich, D. P., Hartmann, I., Hoffman, E. A., Prokop, M., Pedersen, J. H. & de Bruijne, M., 2012, I : I E E E Transactions on Medical Imaging. 31, 11, s. 2093-2107 15 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Mass preserving image registration for lung CT
Gorbunova, V., Sporring, J., Lo, P. C. P., Loeve, M., Tiddens, H. A., Nielsen, M., Dirksen, A. & de Bruijne, M., 2012, I : Medical Image Analysis. 16, 4, s. 786-795 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Texture-based analysis of COPD: a data-driven approach
Sørensen, L., Nielsen, M., Lo, P. C. P., Ashraf, H., Pedersen, J. J. H. & de Bruijne, M., 2012, I : I E E E Transactions on Medical Imaging. 31, 1, s. 70-78 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
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