Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
- 2015
- Published
Quantification and visualization of variation in anatomical trees
Amenta, N., Datar, M., Dirksen, A., de Bruijne, Marleen, Feragen, A., Ge, X., Pedersen, J., Howard, M., Owen, M., Petersen, Jens, Shi, J. & Xu, Q., 2015, Research in shape modeling. Leonard, K. & Tari, S. (eds.). Springer, p. 57-79 23 p. (Association for Women in Mathematics Series, Vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
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
- Published
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
- Published
Geodesic atlas-based labeling of anatomical trees: application and evaluation on airways extracted from CT
Feragen, A., Petersen, Jens, Owen, M., Lo, P., Thomsen, L. H., Wille, M. M. W., Dirksen, A. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 6, p. 1212-1226 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Reversibility of trapped air on chest computed tomography in cystic fibrosis patients
Loeve, M., Rosenow, T., Gorbunova, V., Hop, W. C. J., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2015, In: European Journal of Radiology. 84, 6, p. 1184-1190 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans
Mendrik, A. M., Vincken, K. L., Kuijf, H. J., Breeuwer, M., Bouvy, W., de Bresser, J., Alansary, A., de Bruijne, M., Carass, A., El-Baz, A., Jog, A., Katyal, R., Khan, A. R., van der Lijn, F., Mahmood, Q., Mukherjee, R., van Opbroek, A., Paneri, S., Pereira, S., Persson, M. & 9 others, , 2015, In: Computational Intelligence and Neuroscience. 2015, 16 p., 813696.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Automated quantification of bronchiectasis, airway wall thickening and lumen tapering in chest CT
Perez-Rovira, A., Kuo, W., Petersen, Jens, A.W.M. Tiddens, H. & de Bruijne, Marleen, 2015. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
PRAGMA-CF. A quantitative structural lung disease CT outcome in young children with cystic fibrosis
Rosenow, T., Oudraad, M. C. J., Murray, C. P., Turkovic, L., Kuo, W., de Bruijne, Marleen, Ranganathan, S. C., Tiddens, H. A. W. M. & Stick, S. M., 2015, In: American Journal of Respiratory and Critical Care Medicine. 191, 10, p. 1158-1165 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Reply: Excess risk of cancer from computed tomography scan is small but not so low as to be incalculable
Rosenow, T., Oudraad, M. C. J., Murray, C. P., Turkovic, L., Kuo, W., de Bruijne, Marleen, Ranganathan, S. C., Tiddens, H. A. W. M. & Stick, S. M., 2015, In: American Journal of Respiratory and Critical Care Medicine. 192, 11, p. 1397-1399 3 p.Research output: Contribution to journal › Journal article › Research
Cine-MRI as a New Tool to Evaluate Diaphragmatic Dysfunction in Pompe Disease
Wens, S. C., Ciet, P., Perez-Rovira, A., Logie, K., Salamon, E., Wielopolski, P., de Bruijne, Marleen, Kruijshaar, M. E., Tiddens, H. W., van der Beek, N. A. M. E., van Doorn, P. A. & van der Ploeg, A. T., 2015, In: Neuromuscular Disorders. 2, s1, p. S57Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Lung MRI and impairment of diaphragmatic function in Pompe disease
Wens, S. C. A., Ciet, P., Perez-Rovira, A., Logie, K., Salamon, E., Wielopolski, P., de Bruijne, Marleen, Kruijshaar, M. E., Tiddens, H. A. W. M., van Doorn, P. A. & van der Ploeg, A. T., 2015, In: BMC Pulmonary Medicine. 15, 54.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Multi-center MRI carotid plaque component segmentation using feature normalization and transfer learning
van Engelen, A., van Dijk, A. C., Truijman, M. T. B., van't Klooster, R., van Opbroek, A., van der Lugt, A., Niessen, W. J., Kooi, M. E. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 6, p. 1294-1305 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Feature-space transformation improves supervised segmentation across scanners
van Opbroek, A., Achterberg, H. C. & de Bruijne, Marleen, 2015, Machine learning meets medical imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers. Springer, p. 85-93 9 p. (Lecture notes in computer science, Vol. 9487).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Transfer learning improves supervised image segmentation across imaging protocols
van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 5, p. 1018-1030 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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
- Published
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
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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