Marleen de Bruijne
Professor
Machine Learning
Universitetsparken 1, 2100 København Ø
- Published
Spinal image processing method, involves segmenting image of two vertebrae to obtain data representative of shape and size of vertebrae, and comparing shape and size with predicted unfractured shape and size of vertebrae
de Bruijne, Marleen, Lund, M., Nielsen, Mads & Pettersen, P., 2006, IPC No. G06T-007/00, Patent No. WO2006087190-A1, 24 Aug 2006, Priority date 16 Feb 2005, Priority No. GB003236Research output: Patent
A method of deriving a quantitative measure of a degree of calcification of an aorta
de Bruijne, Marleen, Nielsen, M., Christiansen, C., Conrad-Hansen, L. A. & Lauze, F. B., 2006, Patent No. WO/2006/128729Research output: Patent
- Published
Quantitative vertebral morphometry using neighbor-conditional shape models
de Bruijne, Marleen, Lund, M. T., Tankó, L. B., Pettersen, P. & Nielsen, Mads, 2007, In: Medical Image Analysis. 11, 5, p. 503-512Research output: Contribution to journal › Journal article › Research › peer-review
Shape particle guided tissue classification
de Bruijne, Marleen, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06). IEEE Computer Society Press, p. 64Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Machine learning approaches in medical image analysis: from detection to diagnosis
de Bruijne, Marleen, 2016, In: Medical Image Analysis. 33, p. 94-97 4 p.Research output: Contribution to journal › Editorial › Research › peer-review
Image segmentation by shape particle filtering
de Bruijne, Marleen & Nielsen, M., 2004, Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on. IEEE Signal Processing Society, Vol. 3. p. 722- 725Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Shape Particle Filtering for Image Segmentation
de Bruijne, Marleen & Nielsen, M., 2004, Medical Image Computing and Computer-Assisted Intervention – MICCAI: 7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I. <Forlag uden navn>, p. 168-175 (Lecture notes in computer science, Vol. 3216/2004).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging
de Bruijne, Marleen, 2021, Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer, p. 1 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
- Published
APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network
Zhang, C., Dubost, F., de Bruijne, Marleen, Klein, S. & Poot, D. H. J., 1 Jan 2019, Machine Learning for Medical Image Reconstruction : Second International Workshop, MLMIR 2019 Held in Conjunction with MICCAI 2019 Shenzhen, China, October 17, 2019, Proceedings. Knoll, F., Maier, A., Rueckert, D. & Ye, J. C. (eds.). Springer VS, p. 36-46 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11905 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation
Zabihi, M., Tangwiriyasakul, C., Ingala, S., Lorenzini, L., Camarasa, R., Barkhof, F., de Bruijne, Marleen, Cardoso, M. J. & Sudre, C. H., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer, p. 325-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14349 LNCS).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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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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