Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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Hydranet: Data augmentation for regression neural networks
Dubost, F., Bortsova, G., Adams, H., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, Marleen, 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer VS, p. 438-446 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11767 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Image dissimilarity-based quantification of lung disease from CT
Sørensen, L., Loog, M., Lo, P. C. P., Ashraf, H., Dirksen, A., P. W. Duin, R. & de Bruijne, Marleen, 2010, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. Jiang, T., Navab, N., Pluim, J. P. W. & Viergever, M. A. (eds.). Springer, Vol. Part I. p. 37-44 8 p. (Lecture notes in computer science; No. 6361).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
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Imaging of respiratory muscles in neuromuscular disease: A review
Harlaar, L., Ciet, P., van der Ploeg, A. T., Brusse, E., van der Beek, N. A. M. E., Wielopolski, P. A., de Bruijne, Marleen, Tiddens, H. A. W. M. & van Doorn, P. A., 1 Mar 2018, In: Neuromuscular Disorders. 28, 3, p. 246-256 11 p.Research output: Contribution to journal › Review › Research › peer-review
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Improved tissue segmentation by including an MR acquisition model
Poot, D. H. J., de Bruijne, Marleen, Vernooij, M. W., Ikram, M. A. & Niessen, W. J., 2011, Multimodal Brain Image Analysis: First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings. Liu, T., Shen, D., Ibanez, L. & Tao, X. (eds.). Springer, p. 152-159 8 p. (Lecture notes in computer science, Vol. 7012).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies
Petersen, Jens, Arias-Lorza, A. M., Selvan, Raghav, Bos, D., van der Lugt, A., Pedersen, J. H., Nielsen, Mads & de Bruijne, Marleen, 1 Jan 2019, In: IEEE Transactions on Medical Imaging. 38, 7, p. 1559-1568 8599009.Research output: Contribution to journal › Journal article › Research › peer-review
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Integrating local voxel classification and global shape models for medical image segmentation
van Rikxoort, E. M., de Bruijne, Marleen & van Ginneken, B., 2008, Medical Imaging 2008: Image Processing, Conference Proceedings. Reinhardt, J. M. & Pluim, J. P. W. (eds.). SPIE - International Society for Optical Engineering, p. Article 69144J 6 p. (Proceedings of SPIE; No. 6914).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Interactive segmentation of abdominal aortic aneurysms in CTA images
de Bruijne, Marleen, van Ginneken, B., Viergever, M. A. & Niessen, W. J., 2004, In: Medical Image Analysis. 8, 2, p. 127-138Research output: Contribution to journal › Journal article › Research › peer-review
Interactive shape models
van Ginneken, B., de Bruijne, Marleen, Loog, M. & Viergever, M. A., 2003, Proceedings of SPIE. p. 1206-1216 (Medical Imaging 2003: Image Processing, Vol. 5032).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Intracranial arteriosclerosis is related to cerebral small vessel disease: a prospective cohort study
Vinke, E. J., Yilmaz, P., van der Toorn, J. E., Fakhry, R., Frenzen, K., Dubost, F., Licher, S., de Bruijne, Marleen, Kavousi, M., Ikram, M. A., Vernooij, M. W. & Bos, D., 2021, In: Neurobiology of Aging. 105, p. 16-24Research output: Contribution to journal › Journal article › Research › peer-review
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Iterated stacked classifiers for lung segmentation in computed tomography
Ciompi, F., Gatta, C. & de Bruijne, Marleen, 2013, The Fifth International Workshop on Pulmonary Image Analysis: Nagoya, Japan - September 26, 2013. Beichel, R. R., de Bruijne, M., Kabus, S., Kiraly, A. P., Kitasaka, T., Kuhnigk, J-M., McClelland, J. R., van Rikxoort, E. & Rit, S. (eds.). CreateSpace Independent Publishing Platform , p. 63-74 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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LONGITUDINAL ASSESSMENT OF CT REGIONS OF LOW ATTENUATION REVERSIBILITY IN YOUNG CHILDREN WITH CYSTIC FIBROSIS
Mok, L., Andrinopoulou, E., de Bruijne, Marleen, Tiddens, H., Stick, S. & Rosenow, T., 2018, In: Respirology. 23, Suppl. 1/SI, p. 57-57 TO 069.Research output: Contribution to journal › Meeting Abstract › Research
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Label stability in multiple instance learning
Cheplygina, V., Sørensen, L., Tax, D. M. J., de Bruijne, Marleen & Loog, M., 2015, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Navab, N., Hornegger, J., Wells, W. M. & Frangi, A. F. (eds.). Springer, p. 539-546 8 p. (Lecture notes in computer science).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Learning COPD Sensitive Filters in Pulmonary CT
Sørensen, L. E. B. L., Lo, P. C. P., Ashraf, H., Sporring, Jon, Nielsen, Mads & de Bruijne, Marleen, 2009, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009. 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Learning Cross-Modality Representations from Multi-Modal Images
van Tulder, G. & de Bruijne, Marleen, 2019, In: IEEE Transactions on Medical Imaging. 38, 2, p. 638-648Research output: Contribution to journal › Journal article › Research › peer-review
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Learning features for tissue classification with the classification restricted Boltzmann machine
van Tulder, G. & de Bruijne, Marleen, 2014, Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Menze, B., Langs, G., Montillo, A., Kelm, M., Müller, H., Zhang, S., Cai, W. T. & Metaxas, D. (eds.). Springer, p. 47-58 12 p. (Lecture notes in computer science).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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Learning to quantify emphysema extent: What labels do we need?
Orting, S. N., Petersen, Jens, Thomsen, L. H., Winkler Wille, M. M. & de Bruijne, Marleen, 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 4, p. 1149 -1159Research output: Contribution to journal › Journal article › Research › peer-review
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Letter by Bos et al regarding article, "Intracranial Carotid Calcification on Cranial Computed Tomography: Visual Scoring Methods, Semiautomated Scores, and Volume Measurements in Patients With Stroke"
Bos, D., de Bruijne, Marleen & van der Lugt, A., 2015, In: Stroke. 46, 1 p.Research output: Contribution to journal › Comment/debate › Research › peer-review
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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
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Local appearance features for robust MRI brain structure segmentation across scanning protocols
Achterberg, H. C., Poot, D. H. J., van der Lijn, F., Vernooij, M. W., Ikram, M. A., Niessen, W. J. & de Bruijne, Marleen, 2013, Medical Imaging 2013: image processing . Ourselin, S. & Haynor, D. R. (eds.). SPIE - International Society for Optical Engineering, 7 p. 866905. (Progress in Biomedical Optics and Imaging; No. 36, Vol. 14).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Localization and segmentation of aortic endografts using marker detection
de Bruijne, Marleen, Niessen, W. J., Maintz, J. B. A. & Viergever, M. A., 2003, In: IEEE Transactions on Medical Imaging. 22, 4, p. 473- 482Research output: Contribution to journal › Journal article › Research › peer-review
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Longitudinal analysis of airways using registration
Petersen, Jens, Gorbunova, V., Nielsen, Mads, Dirksen, A., Lo, P. C. P. & de Bruijne, Marleen, 2011, The Fourth International Workshop on Pulmonary Image Analysis. Beichel, R., de Bruijne, M., van Ginneken, B., Kabus, S., Kiraly, A., Kuhnigk, J-M., McClelland, J., Mori, K., van Rikxoort, E. & Rit, S. (eds.). CreateSpace Independent Publishing Platform , p. 11-22 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection
Lin, M., Cui, H., Chen, W., van Engelen, A., de Bruijne, Marleen, Azarpazhooh, M. R., Sohrevardi, S. M., Spence, J. D. & Chiu, B., Jan 2020, In: Computers in Biology and Medicine. 116, 11 p., 103586.Research output: Contribution to journal › Journal article › Research › peer-review
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Lung CT registration combining intensity, curves and surfaces
Gorbunova, V., Durrieman, S., Lo, P. C. P., Pennec, X. & de Bruijne, Marleen, 2010, Proceedings - 2010 7th IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE, p. 340-343 4 p.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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