Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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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
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Lung tissue classification in severe advanced cystic fibrosis from CT scans
Ciompi, F., Palaioroutas, A., Loeve, M., Pujol, O., Radeva, P., Tiddens, H. & de Bruijne, Marleen, 2011, The Fourth International Workshop on Pulmonary Image Analysis. Beichel, R., de Bruine, 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. 57-68 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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MACD - an imaging marker for cardiovascular disease
Ganz, Melanie, de Bruijne, Marleen & Nielsen, Mads, 2010, Medical Imaging 2010: computer-aided diagnosis. Karssemeijer, N. & Summers, R. M. (eds.). SPIE - International Society for Optical Engineering, 9 p. 76240Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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MRI changes in diaphragmatic motion and curvature in Pompe disease over time
Harlaar, L., Ciet, P., van Tulder, G., van Kooten, H. A., van der Beek, N. A. M. E., Brusse, E., de Bruijne, Marleen, Tiddens, H. A. W. M., van der Ploeg, A. T. & van Doorn, P. A., 2022, In: European Radiology. 32, p. 8681–8691Research output: Contribution to journal › Journal article › Research › peer-review
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MRI tracheomalacia (TM) assessment in pediatric patients: feasibility study
Ciet, P., Wielopolski, P., Lever, S., Manniesing, R., de Bruijne, Marleen, Lequin, M. H. & Tiddens, H. A. W. M., 2011.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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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
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Manual airway labeling has limited reproducibility
Petersen, Jens, Feragen, A., Thomsen, L. H., Wille, M. M. W., Dirksen, A. & de Bruijne, Marleen, 2013. 10 p.Research output: Contribution to conference › Poster › Research › peer-review
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Mass Preserving Registration for lung CT
Gorbunova, V., Lo, P. C. P., Loeve, M., Tiddens, H., Sporring, Jon, Nielsen, Mads & de Bruijne, Marleen, 2009, Proceedings of the SPIE: Medical Imaging 2009: Image Processing. Vol. 7259. 10 p. (Proceedings of the SPIE, Vol. 7259).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Mass preserving image registration: results of Evaluation of Methods for Pulmonary Image Registration 2010 Challenge
Gorbunova, V., Sporring, Jon, Lo, P. C. P., Dirksen, A. & de Bruijne, Marleen, 2010, Medical image analysis for the clinic: a grand challenge: workshop proceedings from the 13th International Conference on Medical Image Computing And Computer Assisted Intervention. van Ginneken, B., Murphy, K., Heimann, T., Pekar, V. & Deng, X. (eds.). CreateSpace Independent Publishing Platform , p. 155-164 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Mass preserving image registration for lung CT
Gorbunova, V., Sporring, Jon, Lo, P. C. P., Loeve, M., Tiddens, H. A., Nielsen, Mads, Dirksen, A. & de Bruijne, Marleen, 2012, In: Medical Image Analysis. 16, 4, p. 786-795 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Maximization of regional probabilities using Optimal Surface Graphs: application to carotid artery segmentation in MRI
Arias Lorza, A. M., Van Engelen, A., Petersen, Jens, Van Der Lugt, A. & de Bruijne, Marleen, 1 Mar 2018, In: Medical Physics. 45, 3, p. 1159-1169Research output: Contribution to journal › Journal article › Research › peer-review
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Maximum a posteriori estimation of linear shape variation with application to vertebra and cartilage modeling
Crimi, A., Lillholm, Martin, Nielsen, Mads, Ghosh, A., de Bruijne, Marleen, Dam, E. B. & Sporring, Jon, 2011, In: IEEE Transactions on Medical Imaging. 30, 8, p. 1514-1526 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction
Selvan, Raghav, Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 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. (eds.). Springer, p. 750-758 (Lecture notes in computer science, Vol. 11071).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Measurements of the current density profile with tangential Thomson scattering in RTP
Karelse, F., de Bruijne, Marleen, Barth, C., Beurskens, M., Hogeweij, G. & Cardozo, N., Apr 2001, In: Plasma Physics and Controlled Fusion. 43, 4, p. 443-468Research output: Contribution to journal › Journal article › Research › peer-review
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Measuring trapped air by computed tomography (CT) in CF: In search of the optimal protocol
Loeve, M., Lequin, M., de Bruijne, Marleen, Hartmann, I., Hop, W. & Tiddens, H., 2008. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Method for computerized classification of e.g. computed tomography image, of lung of patient suffering from e.g. non-focal lung disease, involves combining probabilities within regions of interest to obtain quantitative fused probability
Nielsen, Mads, de Bruijne, Marleen & Sørensen, L., 2011, IPC No. G06K-009/00, Patent No. US2011280457-A1, 17 Nov 2011, Priority date 11 May 2010, Priority No. US333513PResearch output: Patent
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Method of analyzing image for assessing condition of organ e.g. lung of patient represented in image, involves providing quantitative measure of extent of condition in image based on number of identified inspection regions
Stick, S. M., Rosenow, T., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, IPC No. G06T-007/00, Patent No. WO2016183609-A1, 24 Nov 2016, Priority date 20 May 2015, Priority No. AU901841Research output: Patent
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Method of estimating risk of future fracture in vertebrae of spine used in medical field, involves computing different curvature values to obtain value representative of degree of irregularity of curvature of spine
Pettersen, P., de Bruijne, Marleen, Christiansen, C. & Tanko, L. B., 2008, IPC No. G06F-019/00, Patent No. WO2008116918-A1, 2 Oct 2008Research output: Patent
Model-based segmentation of abdominal aortic aneurysms in CTA images
de Bruijne, Marleen, van Ginneken, B., Niessen, W. J., Loog, M. & Viergever, M. A., 2003, Proceedings of SPIE. p. 1560-1571 (Medical Imaging 2003: Image Processing, Vol. 5032).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Model-based segmentation of vascular images
de Bruijne, Marleen, 2003, Utrecht University, The Netherlands.Research output: Book/Report › Ph.D. thesis › Research
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Monitoring of air trapping in a cohort of CF patients measured by computed tomography (CT) and pulmonary function tests
Loeve, M., Lequin, M. H., de Bruijne, Marleen, Hartmann, I. J., Hop, W. C. & Tiddens, H. A., 2008.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- E-pub ahead of print
Morphology of the dysplastic hip and the relationship with sex and acetabular version
Mechlenburg, I., De Raedt, S., Achterberg, H. C., Stilling, M., Rømer, L., Søballe, K. & de Bruijne, Marleen, 2024, (E-pub ahead of print) In: Clinical Anatomy.Research output: Contribution to journal › Journal article › Research › peer-review
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Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Dubost, F., de Bruijne, Marleen, Nardin, M., Dalca, A. V., Donahue, K. L., Giese, A., Etherton, M. R., Wu, O., Groot, M. D., Niessen, W., Vernooij, M., Rost, N. S. & Schirmer, M. D., 2020, In: Medical Image Analysis. 63, 14 p., 101698.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
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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