Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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Diagnosis of bronchiectasis and airway wall thickening in children with cystic fibrosis: objective airway-artery quantification
Kuo, W., de Bruijne, Marleen, Petersen, Jens, Nasserinejad, K., Ozturk, H., Chen, Y., Perez-Rovira, A. & Tiddens, H. A. W. M., Nov 2017, In: European Radiology. 27, 11, p. 4680-4689 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Diaphragmatic dysfunction in neuromuscular disease, an MRI study
Harlaar, L., Ciet, P., van Tulder, G., Brusse, E., Timmermans, R. G. M., Janssen, W. G. M., de Bruijne, Marleen, van der Ploeg, A. T., Tiddens, H. A. W. M., van Doorn, P. A. & van der Beek, N. A. M. E., 2022, In: Neuromuscular Disorders. 32, 1, p. 15-24Research output: Contribution to journal › Journal article › Research › peer-review
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Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation
Camarasa, R., Kervadec, H., Bos, D. & de Bruijne, Marleen, 2022, In: Proceedings of Machine Learning Research. 172, p. 188-198Research output: Contribution to journal › Conference article › Research › peer-review
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Discriminative Shape Alignment
Loog, M. & de Bruijne, Marleen, 2009, Information Processing in Medical Imaging. Springer, Vol. 5636/2009. p. 459-466 7 p. (Lecture notes in computer science, Vol. 5636).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Dissimilarity Representations in Lung Parenchyma Classification
Sørensen, L. E. B. L. & de Bruijne, Marleen, 2009, Medical Imaging 2009: Computer-Aided Diagnosis. Karssemeijer, N. & Giger, M. L. (eds.). SPIE - International Society for Optical Engineering, 12 p. (Proceedings of SPIE; No. 7260).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Dissimilarity-based classification of anatomical tree structures
Sørensen, L., Lo, P. C. P., Dirksen, A., Petersen, Jens & de Bruijne, Marleen, 2011, Information Processing in Medical Imaging: 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings. Székely, G. & Hahn, H. K. (eds.). Springer, p. 475-485 11 p. (Lecture notes in computer science, Vol. 6801).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Dissimilarity-based multiple instance learning
Sørensen, L., Loog, M., Tax, D. M. J., Lee, W., de Bruijne, Marleen & Duin, R. P. W., 2010, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR&SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings. Hancock, E. R., Wilson, R. C., Windeatt, T., Ulusoy, I. & Escolano, F. (eds.). Springer, p. 129-138 10 p. (Lecture notes in computer science; No. 6218).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women
Nielsen, Mads, Ganz, Melanie, de Bruijne, Marleen, Dam , E., Karsdal , M. & Christiansen , C., 2011. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women
Ganz, Melanie, de Bruijne, Marleen, Dam, E. B., Pettersen, P., Karsdal, M. A., Christiansen, C. & Nielsen, Mads, 2012, In: International Journal of Biomedical Imaging. 2012, 8 p., 459286.Research output: Contribution to journal › Journal article › Research › peer-review
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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
Nielsen, Mads, Ganz, Melanie, Lauze, Francois Bernard, Pettersen, P. C., de Bruijne, Marleen, Clarkson, T. B., Dam, E. B., Christiansen, C. & Karsdal, M. A., 2010, In: BMC Cardiovascular Disorders. 10, 10 p., 56.Research output: Contribution to journal › Journal article › Research › peer-review
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Do you trust your multiple instance learning classifier?
Cheplygina, V., Sørensen, L., Tax, D. M. J., de Bruijne, Marleen & Loog, M., 2017, Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning. Duivesteijn, W., Pechenizkiy, M., Fletcher, G., Menkovski, V., Postma, E., Vanschoren, J. & van der Putten, P. (eds.). p. 72-73 2 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
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Early detection of emphysema progression
Gorbunova, V., Jacobs, S. S. A. M., Lo, P. C. P., Dirksen, A., Nielsen, Mads, Bab-Hadiashar, A. & de Bruijne, Marleen, 2010, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II. Jiang, T., Navab, N., Pluim, J. P. W. & Viergever, M. A. (eds.). Springer, Vol. Part II. p. 193-200 8 p. (Lecture notes in computer science; No. 6362).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Early diagnosis of dementia based on intersubject whole-brain dissimilarities
Klein, S., Loog, M., Lijn, F. V. D., Heijer, T. D., Hammers, A., de Bruijne, Marleen, Lugt, A. V. D., Duin, R. P. W., Breteler, M. M. B. & Niessen, W. J., 2010, 2010 IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE, p. 249-252 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Early experiences with crowdsourcing airway annotations in chest CT
Cheplygina, V., Perez-Rovira, A., Kuo, W., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Carneiro, G., Mateus, D., Peter, L., Bradley, A., Tavares, J. M. R. S., Belagiannis, V., Papa, J. P., Nascimento, J. C., Loog, M., Lu, Z., Cardoso, J. S. & Cornebise, J. (eds.). Springer, p. 209-218 10 p. (Lecture notes in computer science, Vol. 10008).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Editorial for the MEDIA MICCAI special issue 2021
de Bruijne, Marleen, Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C., Jan 2023, In: Medical Image Analysis. 83, 1 p., 102695.Research output: Contribution to journal › Editorial › Research
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Effect of inspiration on airway dimensions measured in maximal inspiration CT images of subjects without airflow limitation
Petersen, Jens, Wille, M. M. W., Raket, L. L., Feragen, A., Pedersen, J. H., Nielsen, Mads, Dirksen, A. & de Bruijne, Marleen, 2014, In: European Radiology. 24, 9, p. 2319-2325 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Efficient nonrigid registration using ranked order statistics
Tennakoon, R. B., Bab-Hadiashar, A., de Bruijne, Marleen & Cao, Z., 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI). IEEE, p. 496-499 4 p. (International Symposium on Biomedical Imaging. Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Enlarged perivascular spaces in brain MRI: Automated quantification in four regions
Dubost, F., Yilmaz, P., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, Marleen, 2019, In: NeuroImage. 185, p. 534-544Research output: Contribution to journal › Journal article › Research › peer-review
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Estimating risk of future fracture or deformity of vertebrae of spine, by comparing processed data representing appearance of vertebra of spine with statistical model and deriving similarity between vertebra of spine and model
Ghosh, A., Nielsen, Mads, Karsdal, M. A., Christiansen, C., de Bruijne, Marleen & Petterson, P., 2011, IPC No. G06T-007/00, Patent No. WO2009124995-A1, 15 Oct 2009, Priority date 10 Apr 2008, Priority No. GB006509Research output: Patent
Evaluating classifiers for atherosclerotic plaque component segmentation in MRI
van Engelen, A., de Bruijne, Marleen, Schneider, T., van Dijk, A. C., Kooi, M. E., Hendrikse, J., Nederveen, A., Niessen, W. & Botnar, R. M., 2017, Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings. Hernández, M. V. & González-Castro, V. (eds.). Springer, Vol. 723. p. 156-168 13 p. (Communications in Computer and Information Science, Vol. 723).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Evaluation of automated statistical shape model based knee kinematics from biplane fluoroscopy
Baka, N., Kaptein, B. L., Giphart, J. E., Staring, M., de Bruijne, Marleen, Lelieveldt, B. P. F. & Valstar, E., 2014, In: Journal of Biomechanics. 47, 1, p. 122-129 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
Murphy, K., van Ginneken, B., Reinhardt, J., Kabus, S., Ding, K., Deng, X., Cao, K., Du, K., Christensen, G., Garcia, V., Vercauteren, T., Ayache, N., Commowick, O., Malandain, G., Glocker, B., Paragios, N., Navab, N., Gorbunova, V., Sporring, J., de Bruijne, M. & 34 others, , 2011, In: IEEE Transactions on Medical Imaging. 30, 11, p. 1901-1920 20 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
for the Alzheimer’s Disease Neuroimaging Initiative, F. A. D. N. I., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019,Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer, p. 169-180 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11492 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Expiratory computed tomography (CT) protocols made during voluntary breath hold may be sufficient for monitoring cystic fibrosis (CF) lung disease
Loeve, M., Lequin, M., 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
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Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses
Selvan, Raghav, Petersen, Jens, Pedersen, J. H. & de Bruijne, Marleen, 18 Oct 2019, In: Medical Physics. 46, 10, p. 4431-4440Research output: Contribution to journal › Journal article › Research › peer-review
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Extraction of Airways from CT (EXACT’09)
Lo, P. C. P., van Ginneken, B., Reinhardt, J. M. & de Bruijne, Marleen, 2009, The Second International Workshop on Pulmonary Image Analysis. Brown, M., de Bruijne, M., van Ginneken, B., Kiraly, A., Kuhnigk, J-M., Lorenz, C., McClelland, J. R., Mori, K., Reeves, A. & Reinhardt, J. M. (eds.). CreateSpace, p. 175-189 15 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Extraction of Airways using Graph Neural Networks
Selvan, Raghav, Kipf, T., Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018. 3 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing
Selvan, Raghav, Petersen, Jens, Pedersen, J. J. H. & de Bruijne, Marleen, 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. (eds.). Springer, p. 53-63 (Lecture notes in computer science, Vol. 10551).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Extraction of airway trees using multiple hypothesis tracking and template matching
Selvan, Raghav, Petersen, Jens, Pedersen, J. J. H. & de Bruijne, Marleen, 2016, The Sixth International Workshop on Pulmonary Image Analysis: Athens, Greece - October 21, 2016. Beichel, R. R., Farahani, K., Jacobs, C., Kabus, S., Kiraly, A. P., Kuhnigk, J-M., McClelland, J. R., Mori, K., Petersen, J. & Rit, S. (eds.). Create Space Independent Publishing Platform, p. 43-54 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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. & 10 others, , 2012, In: I E E E Transactions on Medical Imaging. 31, 11, p. 2093-2107 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Factors influencing the decline in lung density in a Danish lung cancer screening cohort
Shaker, S. B., Dirksen, A., Lo, P. C. P., Skovgaard, Lene Theil, de Bruijne, Marleen & Pedersen, J. H., 2012, In: European Respiratory Journal. 40, 5, p. 1142-1148 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans
Nyboe Ørting, S., Petersen, Jens, Cheplygina, V., Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 2018, Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 16, 2018 Proceedings. Stoyanov, D., Taylor, Z., Balocco, S. & Sznitman, R. (eds.). Springer, p. 140-149 Chapter 16. (Lecture Notes in Computer Science, Vol. 11043).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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First current density measurements with tangential Thomson scattering at RTP
Karelse, F. A., Barth, C. J., Beurskens, M. N. A., de Bruijne, Marleen, Hogeweij, G. M. D., Cardozo, N. J. L., Meiden, H. J. V. D., Pijper, F. J. & RTP-team, T., 1 Sep 1997, Proceedings of the 8th International Symposium on Laser-aided Plasma Diagnostics. p. 253-258 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Fluoroscopic assessment of femoral kinematics using a statistical shape model
Baka, N., de Bruijne, Marleen, van Walsum, T., Kaptein, B., Giphart, E., Schaap, M., Niessen, W. & Lelieveldt, B., 2012, EORS 2012 Amsterdam: European Orthopaedic Research Society 20th annual meeting. EORS , p. 147148 2 p. 5B.2Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
Fully automated lung volume assessment from MRI in a population-based child cohort study
Ivanovska, T., Ciet, P., Rerez-Rovira, A., Nguyen, A., Tiddens, H., Duijts, L., de Bruijne, Marleen & Wörgötter, F., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS Digital Library, Vol. 6. p. 53-58 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Fully automated measurement of radiological angles in hip dysplasia using CT images
de Raedt, S., de Bruijne, Marleen, Mechlenburg, I., Stilling, M., Rømer, L. & Søballe, K., 2012. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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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, Marleen, 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. (eds.). Springer, p. 214-221 8 p. (Lecture notes in computer science, Vol. 10435).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations
SpiroMeta Consortium, S. C., International COPD Genetics Consortium, I. C. G. C. & Understanding Society Scientific Group, U. S. S. G., 2019, In: Nature Genetics. 51, 3, p. 494-505Research output: Contribution to journal › Journal article › Research › peer-review
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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
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Geometric tree kernels: classification of COPD from airway tree geometry
Feragen, A., Petersen, Jens, Grimm, D., Dirksen, A., Pedersen, J. J. H., Borgwardt, K. & de Bruijne, Marleen, 2013, Information Processing in Medical Imaging: 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28–July 3, 2013. Proceedings. Gee, J. C., Joshi, S., Pohl, K. M., Wells, W. M. & Zöllei, L. (eds.). Springer, p. 171-183 13 p. (Lecture notes in computer science, Vol. 7917).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Geometries on spaces of treelike shapes
Feragen, A., Lauze, Francois Bernard, Lo, P. C. P., de Bruijne, Marleen & Nielsen, Mads, 2011, Computer Vision – ACCV 2010 : 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part II. Kimmel, R., Klette, R. & Sugimoto, A. (eds.). Springer, p. 160-173 14 p. (Lecture notes in computer science, Vol. 6493).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks
Selvan, Raghav, Kipf, T., Welling, M., Juarez, A. G., Pedersen, J. H., Petersen, Jens & de Bruijne, Marleen, 2020, In: Medical Image Analysis. 64, 12 p., 101751.Research output: Contribution to journal › Journal article › Research › peer-review
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Graph cut-based segmentation
Petersen, Jens, Oguz, I. & de Bruijne, Marleen, 2023, Medical Image Analysis. Academic Press, p. 247-273Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Gray Matter Age Prediction as a Biomarker for Risk of Dementia
Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. J. & Roshchupkin, G. V., 15 Oct 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 21213-21218Research output: Contribution to journal › Journal article › Research › peer-review
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Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study
Wang, J., Knol, M., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M., Adams, H., Ikram, M. A., Niessen, W. & Roshchupkin, G., 2019, In: bioRxiv. 17 p., 518506.Research output: Contribution to journal › Journal article › Research
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Growth of the thoracic aorta in the smoking population: The Danish Lung Cancer Screening Trial
Bons, L. R., Sedghi Gamechi, Z., Thijssen, C. G. E., Kofoed, Klaus Fuglsang, Pedersen, J. H., Saghir, Zaigham, Takkenberg, J. J. M., Kardys, I., Budde, R. P. J., de Bruijne, Marleen & Roos-Hesselink, J. W., 2020, In: International Journal of Cardiology. 299, p. 276-281Research output: Contribution to journal › Journal article › Research › peer-review
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High shear stress relates to intraplaque haemorrhage in asymptomatic carotid plaques
Tuenter, A., Selwaness, M., Arias Lorza, A., Schuurbiers, J. C. H., Speelman, L., Cibis, M., van der Lugt, A., de Bruijne, Marleen, van der Steen, A. F. W., Franco, O. H., Vernooij, M. W. & Wentzel, J. J., Aug 2016, In: Atherosclerosis. 251, p. 348–354 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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, Marleen, 2014, In: Human Brain Mapping. 35, 5, p. 2359-2371 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Hippocampal shape predicts development of dementia in the general population
Achterberg, H., de Bruijne, Marleen, Lijn, F. V. D., den Heijer , T., Vernooij , M., Ikram, M. A. & Niessen, W., 2011. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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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
- Published
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
- Published
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
- Published
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
- 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
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
- Published
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
- Published
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
- 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
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
- 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
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
- Published
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
- Published
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
- Published
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
- Published
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
- 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
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
- Published
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
- 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
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
- Published
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
- 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
- Published
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
- Published
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
- Published
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
- Published
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
- Published
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
- Published
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
- Published
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
- Published
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
- Published
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
- Published
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
- Published
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
- Published
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
- Published
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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