Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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Why is the winner the best?
Eisenmann, M., Reinke, A., Weru, V., Tizabi, M. D., Isensee, F., Adler, T. J., Ali, S., Andrearczyk, V., Aubreville, M., Baid, U., Bakas, S., Balu, N., Bano, S., Bernal, J., Bodenstedt, S., Casella, A., Cheplygina, V., Daum, M., Bruijne, M. D., Depeursinge, A. & 105 others, , 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, p. 19955-19966Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
ALFA study, A. S., 2024, In: Medical Image Analysis. 91, 23 p., 103029.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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Weight preserving image registration for monitoring disease progression in lung CT.
Gorbunova, V., Lo, P. C. P., Haseem, A., Dirksen, A., Nielsen, Mads & de Bruijne, Marleen, 2008, Mecical Image Computing and Computer-Assisted Intervention - MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, proceedings, Part II. Metaxas, D., Axel, L., Fichtinger, G. & Szekely, G. (eds.). Springer, p. 863-871 8 p. (Lecture notes in computer science; No. 5242).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Weakly supervised object detection with 2D and 3D regression neural networks
Dubost, F., Adams, H., Yilmaz, P., Bortsova, G., Tulder, G. V., Ikram, M. A., Niessen, W., Vernooij, M. W. & de Bruijne, Marleen, Oct 2020, In: Medical Image Analysis. 65, 22 p., 101767.Research output: Contribution to journal › Journal article › Research › peer-review
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Voxel classification based airway tree segmentation
Lo, P. C. P. & de Bruijne, Marleen, 2008, Medical Imaging 2008: Image Processing, San Diego, Calif., USA, February 17, 2008, Conference proceedings. Reinhardt, J. M. & Pluim, J. P. W. (eds.). SPIE - International Society for Optical Engineering, p. Article 69141K (Proceedings of the SPIE; No. 6914).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Voxel Classification Based Vessel-guided Airway Segmentation
Lo, P. C. P., Sporring, Jon, Ashraf, H., Pedersen, J. H. J. & de Bruijne, Marleen, 2008, Proceedings of the Danish Conference on Pattern Recognition and Image Analysis: Organised by Danish Society for Automatic Pattern Recognition (Dansk Selskab for automatisk genkendelse af mønstre), Departmen of Computer Science, University of Copenhagen, Thursday 21 August 2008. Olsen, S. I. (ed.). Museum Tusculanum, p. 8-9 (Datalogisk Institut. Københavns Universitet. Technical Reports; No. 08-10).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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Volumetric ultra low dose expiratory computed tomography scans could be sufficient to monitor CF lung disease
Loeve, M., Lequin, M. H., de Bruijne, Marleen, Hartmann, I., Hop, W. C. & Tiddens, H. A., 2008, In: Journal of Cystic Fibrosis. S2, p. S59 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Visual assessment of early emphysema and interstitial abnormalities on CT is useful in lung cancer risk analysis
Wille, M. M. W., Thomsen, L. H., Petersen, Jens, de Bruijne, Marleen, Dirksen, A., Pedersen, J. H. & Shaker, S. B., 2016, In: European Radiology. 26, 2, p. 487-494 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Vessel-guided airway tree segmentation: a voxel classification approach
Lo, P. C. P., Sporring, Jon, Ashraf, H., Pedersen, J. J. H. & de Bruijne, Marleen, 2010, In: Medical Image Analysis. 14, 4, p. 527-538 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Vessel-guided airway segmentation based on voxel classification
Lo, P. C. P., Sporring, Jon, Ashraf, H., Holst Pedersen, J. J. & de Bruijne, Marleen, 2008, The first International Workshop on Pulmonary Image Analysis: New York, September 6, 2008. Brown, M., de Bruijne, M., van Ginneken, B., Kiraly, A., Kuhnigk, J-M., Lorenz, C., Mori, K. & Reinhardt, J. (eds.). Lulu.com, p. 113-122Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Vessel tree extraction using locally optimal paths
Lo, P. C. P., van Ginneken, B. & de Bruijne, Marleen, 2010, 2010 IEEE International Symposium on Biomedical Imaging: from nano to Macro. IEEE, p. 680-683Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal Women
Lillholm, Martin, Ghosh, A., Pettersen, P. C., de Bruijne, Marleen, Dam, E. B., Karsdal, M. A., Christiansen, C., Genant, H. K. & Nielsen, Mads, 2011, In: Osteoporosis International. 22, 7, p. 2119-2128 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
Vertebral fracture quantification
de Bruijne, Marleen, Lund, M. T., Pettersen, P. & Nielsen, M., 2006, Patent No. WO/2006/087190Research output: Patent
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Vertebral fracture prediction
Pettersen, P., de Bruijne, Marleen & Tanko, L., 2007, (Submitted) 1 Mar 2007Research output: Patent
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Vertebral Fracture Prediction
Pettersen, P., de Bruijne, Marleen, Christiansen, C. & Tanko, L. B., 2008, IPC No. G06F 19/00, Patent No. WO/2008/116918, 2 Oct 2008Research output: Patent
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Vertebral Fracture Classification
de Bruijne, Marleen, Pettersen, P. C., Tankó, L. B. & Nielsen, Mads, 2007, Medical Imaging 2007: Image Processing, 18-20 February, 2007, San Diego, California, USA. Pluim, J. P. W. & Reinhardt, J. M. (eds.). SPIE, 10 p. (Proceedings of SPIE; No. 6512).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Unpaired, unsupervised domain adaptation assumes your domains are already similar
van Tulder, G. & de Bruijne, Marleen, 2023, In: Medical Image Analysis. 87, 17 p., 102825.Research output: Contribution to journal › Journal article › Research › peer-review
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Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images
Camarasa, R., Faure, A., Crozier, T., Bos, D. & de Bruijne, Marleen, 2021, Statistical Atlases and Computational Models of the Heart. MandMs and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Puyol Anton, E., Pop, M., Sermesant, M., Campello, V., Lalande, A., Lekadir, K., Suinesiaputra, A., Camara, O. & Young, A. (eds.). Springer, p. 385-391 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12592 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Tribute Workshop for Peter Johansen
Nielsen, Mads (ed.), de Bruijne, Marleen (ed.), Jørgensen, Camilla Holm (ed.), Olsen, Søren Ingvor (ed.), Steenstrup Pedersen, Kim (ed.) & Sporring, Jon (ed.), 2008, Berlin: Springer. 151 p. (Journal of Mathematical Imaging and Vision; No. 31(2-3)p.119-269).Research output: Book/Report › Anthology › Research
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Tree-space statistics and approximations for large-scale analysis of anatomical trees
Feragen, A., Owen, M., Petersen, Jens, Wille, M. M. W., Thomsen, L. H., Dirksen, A. & 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. 74-85 12 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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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
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Transfer learning for multicenter classification of chronic obstructive pulmonary disease
Cheplygina, V., Peña, I. P., Pedersen, J. J. H., Lynch, D. A., Sørensen, L. & de Bruijne, Marleen, Sep 2018, In: IEEE Journal of Biomedical and Health Informatics. 22, 5, p. 1486 - 1496Research output: Contribution to journal › Journal article › Research › peer-review
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Transfer learning by feature-space transformation: A method for Hippocampus segmentation across scanners
van Opbroek, A., Achterberg, H. C., Vernooij, M. W., Arfan Ikram, M. & de Bruijne, Marleen, 2018, In: NeuroImage: Clinical. 20, p. 466-475 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning
van Opbroek, A., Achterberg, H. C., Vernooij, M. W. & de Bruijne, Marleen, 2019, In: IEEE Transactions on Medical Imaging. 38, 1, p. 213-224 8419778.Research output: Contribution to journal › Journal article › Research › peer-review
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Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners
Cheplygina, V., Opbroek, A. V., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2020, In: arXiv.org. 17 p.Research output: Contribution to journal › Journal article › Research
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Tracheomalacia assessment in pediatric patients with MRI: preliminary report
Ciet, P., Wielopolski, P. A., Lever, S., de Bruijne, Marleen, Lequin, M. H. & Tiddens, H. A., 2010.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Towards exaggerated emphysema stereotypes
Chen, C., Sørensen, L., Lauze, Francois Bernard, Igel, Christian, Loog, M., Feragen, A., de Bruijne, Marleen & Nielsen, Mads, 2012, Medical Imaging 2012: Computer-Aided Diagnosis. van Ginneken, B. & Novak, C. L. (eds.). SPIE - International Society for Optical Engineering, 13 p. 83150Q. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 7964). (Progress in Biomedical Optics and Imaging; No. 31, Vol. 13).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT
Murphy, K., Pluim, J. P. W., Rikxoort, E. M. V., Jong, P. A. D., Hoop, B. D., Gietema, H. A., Mets, O., de Bruijne, Marleen, Lo, P. C. P., Prokop, M. & Ginneken, B. V., 2012, In: Medical Physics. 39, 3, p. 1650-1662 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Toward automated detection and segmentation of aortic calcifications from radiographs
Lauze, F. & de Bruijne, Marleen, 2007, Medical imaging 2007: Image processing, 18-20 February, 2007, San Diego, California, USA. Pluim, J. P. W. & Reinhardt, J. M. (eds.). SPIE, 11 p. (Proceedings of SPIE; No. 6512).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Toward a theory of statistical tree-shape analysis
Feragen, A., Lo, P. C. P., de Bruijne, Marleen, Nielsen, Mads & Lauze, Francois Bernard, 2013, In: I E E E Transactions on Pattern Analysis and Machine Intelligence. 35, 8, p. 2008-2021 14 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Three-section expiratory CT: insufficient for trapped air assessment in patients with cystic fibrosis?
Loeve, M., de Bruijne, Marleen, Hartmann, I. C. J., Straten, M. V., Hop, W. C. J. & Tiddens, H. A. W. M., 2012, In: Radiology. 262, 3, p. 969-976 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection
Chen, X., Lin, M., Cui, H., Chen, Y., van Engelen, A., de Bruijne, Marleen, Azarpazhooh, M. R., Sohrevardi, S. M., Chow, T. W. S., Spence, J. D. & Chiu, B., 2020, In: Computer Methods and Programs in Biomedicine. 184, 10 p., 105276.Research output: Contribution to journal › Journal article › Research › peer-review
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Three-dimensional carotid ultrasound plaque texture predicts vascular events
van Engelen, A., Wannarong, T., Parraga, G., Niessen, W. J., Fenster, A., Spence, J. D. & de Bruijne, Marleen, 2014, In: Stroke. 45, p. 2695-2701 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study
Achterberg, H. C., Sørensen, L., Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, Mads & de Bruijne, Marleen, 2019, In: Neurobiology of Aging. 81, p. 58-66Research output: Contribution to journal › Journal article › Research › peer-review
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The relationship between NT proBNP and CT lung density in long term smokers
Shaker, S. B., Ashraf, H., Rasmussen, T., Lo, P. C. P., de Bruijne, Marleen, Dirksen, A. & Pedersen, J. H., 2012, In: European Respiratory Journal. 40, Supplement 56, p. 103s 1 p., P652.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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The history of bronchiectasis on CT in cystic fibrosis
Tepper, L. A., de Bruijne, Marleen, Caudri, D., Perez-Rovira, A. & Tiddens, H., 2013, In: Pediatric Pulmonology. 48, S36, p. 354 1 p., 408.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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The effect of inspiration on airway dimensions measured in CT images from the Danish Lung Cancer Screening Trial
Petersen, Jens, Wille, M., Thomsen, L., Feragen, A., Dirksen, A. & de Bruijne, Marleen, 2013, In: Insights into Imaging. 4, Supplement 1, p. 183 1 p., B-0163.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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The effect of CFTR modulators on structural lung disease in cystic fibrosis
Mok, L. C., Garcia-Uceda, A., Cooper, M. N., Kemner-Van De Corput, M., de Bruijne, Marleen, Feyaerts, N., Rosenow, T., De Boeck, K., Stick, S. & Tiddens, H. A. W. M., 2023, In: Frontiers in Pharmacology. 14, 10 p., 1147348.Research output: Contribution to journal › Journal article › Research › peer-review
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The development of bronchiectasis on chest computed tomography in children with cystic fibrosis: can pre-stages be identified?
Tepper, L. A., Caudri, D., Rovira, A. P., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, In: European Radiology. 26, 12, p. 4563-4569 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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The Third International Workshop on Pulmonary Image Analysis
Brown, M. (ed.), de Bruijne, Marleen (ed.), Ding, K. (ed.), van Ginneken, B. (ed.), Kiraly, A. (ed.), Kuhnigk, J. (ed.), McClelland, J. R. (ed.), Mori, K. (ed.) & Reinhardt, J. M. (ed.), 2010, CreateSpace Independent Publishing Platform . 170 p.Research output: Book/Report › Anthology › Research › peer-review
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The Second International Workshop on Pulmonary Image Analysis
Brown, M. (ed.), de Bruijne, Marleen (ed.), van Ginneken, B. (ed.), Kiraly, A. (ed.), Kuhnigk, J. (ed.), Lorenz, C. (ed.), McClelland, J. R. (ed.), Mori, K. (ed.), Reeves, A. (ed.) & Reinhardt, J. M. (ed.), 2009, CreateSpace. 410 p.Research output: Book/Report › Anthology › Research › peer-review
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The Fourth International Workshop on Pulmonary Image Analysis
Beichel, R. (ed.), de Bruijne, Marleen (ed.), van Ginneken, B. (ed.), Kabus, S. (ed.), Kiraly, A. (ed.), Kuhnigk, J. (ed.), McClelland, J. (ed.), Mori, K. (ed.), van Rikxoort, E. (ed.) & Rit, S. (ed.), 2011, CreateSpace Independent Publishing Platform . 270 p.Research output: Book/Report › Anthology › Research
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The First International Workshop on Pulmonary Image Analysis
Brown, M. (ed.), de Bruijne, Marleen (ed.), van Ginneken, B. (ed.), Kiraly, A. (ed.), Kuhnigk, J. (ed.), Lorenz, C. (ed.), Mori, K. (ed.) & Reinhardt, J. (ed.), 2008, Lulu.com. 316 p.Research output: Book/Report › Anthology › Research › peer-review
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The Fifth International Workshop on Pulmonary Image Analysis: Nagoya, Japan, September 26, 2013
Beichel, R. R. (ed.), de Bruijne, Marleen (ed.), Kabus, S. (ed.), Kiraly, A. P. (ed.), Kuhnigk, J. (ed.), McClelland, J. R. (ed.), Kitasaka, T. (ed.), van Rikxoort, E. (ed.) & Rit, S. (ed.), 2013, CreateSpace Independent Publishing Platform . 160 p.Research output: Book/Report › Book › Research › peer-review
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Texture-based analysis of COPD: a data-driven approach
Sørensen, L., Nielsen, Mads, Lo, P. C. P., Ashraf, H., Pedersen, J. J. H. & de Bruijne, Marleen, 2012, In: I E E E Transactions on Medical Imaging. 31, 1, p. 70-78 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Texture classification in pulmonary CT
Sørensen, L., J. Gangeh, M., B. Shaker, S. & de Bruijne, Marleen, 2011, Lung imaging and computer-aided diagnosis. El-Baz, A. & Suri, J. S. . (eds.). CRC Press, p. 343–367 25 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Texture Classification in Lung CT Using Local Binary Patterns
Sørensen, L. E. B. L., Shaker, S. B. & de Bruijne, Marleen, 2008, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I. Metaxas, D., Axel, L., Fichtinger, G. & Szekely, G. (eds.). Springer, p. 934-941 8 p. (Lecture notes in computer science; No. 5241).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Texture Based Emphysema Quantification in Lung CT
Sørensen, L. E. B. L., Shaker, S. B. & de Bruijne, Marleen, 2008, The First International Workshop on Pulmonary Image Analysis: MICCAI 2008 Workshop Proceedings. Brown, M., de Bruijne, M., van Ginneken, B., Kiraly, A., Kuhnigk, J-M., Lorenz, C., Mori, K. & Reinhardt, J. (eds.). Lulu.com, p. 5-14 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Technical challenges of quantitative chest MRI data analysis in a large cohort pediatric study
Nguyen, A. H., Perez-Rovira, A., Wielopolski, P. A., Hernandez Tamames, J. A., Duijts, L., de Bruijne, Marleen, Aliverti, A., Pennati, F., Ivanovska, T., Tiddens, H. A. W. M. & Ciet, P., 2019, In: European Radiology. 29, 6, p. 2770–2782Research output: Contribution to journal › Journal article › Research › peer-review
- Submitted
Supervised shape learning for fracture prediction
de Bruijne, Marleen, Nielsen, Mads & Pettersen, P., 2008, (Submitted) 10 Apr 2008Research output: Patent
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Supervised shape analysis for risk assessment in osteoporosis
de Bruijne, Marleen & Pettersen, P., 2008, Biomedical Imaging: From Nano to Macro, 2008 IEEE international Symposium on Biomedical Imaging. IEEE Communications Society, Vol. 1-4. p. 1581-1584 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Supervised in-vivo plaque characterization incorporating class label uncertainty
Engelen, A. V., Niessen, W. J., Klein, S., Groen, H. C., Verhagen, H. J. M., Wentzel, J. J., van der Lugt, A. & de Bruijne, Marleen, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, p. 246-249 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Supervised image segmentation across scanner protocols: a transfer learning approach
van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2012, Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers. Wang, F., Shen, D., Yan, P. & Suzuki, K. (eds.). Springer, p. 160-167 8 p. (Lecture notes in computer science, Vol. 7588).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Statistical tracking of tree-like tubular structures with efficient branching detection in 3D medical image data
Wang, X., Heimann, T., Lo, P., Sumkauskaite, M., Puderbach, M., de Bruijne, Marleen, Meinzer, H. P. & Wegner, I., 2012, In: Physics in Medicine and Biology. 57, 16, p. 5325-5342 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Statistical shape model-based femur kinematics from biplane fluoroscopy
Baka, N., de Bruijne, Marleen, Walsum, T. V., Kaptein, B. L., Giphart, J. E., Schaap, M., Niessen, W. J. & Lelieveldt, B. P. F., 2012, In: I E E E Transactions on Medical Imaging. 31, 8, p. 1573-1583 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Statistical coronary motion models for 2D + t/3D registration of X-ray coronary angiography and CTA
Baka, N., Metz, C. T., Schultz, C., Neefjes, L., van Geuns, R. J., Lelieveldt, B. P. F., Niessen, W. J., van Walsum, T. & de Bruijne, Marleen, 2013, In: Medical Image Analysis. 17, 6, p. 698-709 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Standardization of a chest-CT protocol for multi-center trial in cystic fibrosis (CF) infants
Ciet, P., Graniel, K. G., Stick, S., de Bruijne, Marleen, Tiddens, H. & van Straten, M., 2012, In: Journal of Thoracic Imaging. 27, 5, p. W127 1 p., O47.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Spirometer-controlled cine magnetic resonance imaging to diagnose tracheobronchomalacia in pediatric patients
Ciet, P., Wielopolski, P., Manniesing, R., Lever, S., de Bruijne, Marleen, Morana, G., Muzzio, P. C., Lequin, M. H. & Tiddens, H. A. W. M., 2014, In: European Respiratory Journal. 43, 1, p. 115-124 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Spine Shape Predicts Vertebral Fractures in Postmenopausal Women
de Bruijne, Marleen, Pettersen, P. C., A. Ghosh, M. G. Sorensen & Nielsen, Mads, 2008, In: Journal of Bone and Mineral Research. Supl. S, p. S37 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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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
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Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images
Kayal, S., Dubost, F., Tiddens, H. A. W. M. & de Bruijne, Marleen, Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE, p. 586-590 9098581Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Special Issue on Tribute Workshop for Peter Johansen
Nielsen, Mads, de Bruijne, Marleen, Jørgensen, Camilla Holm, Olsen, Søren Ingvor, Steenstrup Pedersen, Kim & Sporring, Jon, 2008, In: Journal of Mathematical Imaging and Vision. 31, 2-3, p. 119-120Research output: Contribution to journal › Editorial › Research
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Spatially regularized shape analysis of the hippocampus using P-spline based shape regression
Achterberg, H. C., de Rooi, J., Vernooij, M., Ikram, A., Niessen, W., Eilers, P. & de Bruijne, Marleen, 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 3, p. 825-834Research output: Contribution to journal › Journal article › Research › peer-review
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Sleep and perivascular spaces in the middle-aged and elderly population
Lysen, T. S., Yilmaz, P., Dubost, F., Ikram, M. A., de Bruijne, Marleen, Vernooij, M. W. & Luik, A. I., 2022, In: Journal of Sleep Research. 31, 2, p. 1-* e13485.Research output: Contribution to journal › Journal article › Research › peer-review
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Short-term effect of changes in smoking behaviour on emphysema quantification by CT
Ashraf, H., Lo, P. C. P., Shaker, S. B., de Bruijne, Marleen, Dirksen, A., Tønnesen, P., Dahlbäck, M. & Pedersen, J. J. H., 2011, In: Thorax. 66, 1, p. 55-60Research output: Contribution to journal › Journal article › Research › peer-review
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Shape-based assessment of vertebral fracture risk in postmenopausal women using discriminative shape alignment
Crimi, A., Loog, M., de Bruijne, Marleen, Nielsen, Mads & Lillholm, Martin, 2012, In: Academic Radiology. 19, 4, p. 446-454 9 p.Research 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
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
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations
Bortsova, G., Dubost, F., Hogeweg, L., Katramados, I. & 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. 810-818 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11769 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Submitted
Semi-automatic vertebral contour detection: II
Iglesias, J. E. & de Bruijne, Marleen, 2007, (Submitted) Patent No. P15268GB, 1 Jun 2007Research output: Patent
- Submitted
Semi-automatic vertebral contour detection: III
Iglesias, J. E. & de Bruijne, Marleen, 2007, (Submitted) Patent No. P15316GB, 20 Sep 2007Research output: Patent
- Submitted
Semi-automatic vertebral contour detection: I
Iglesias, J. E. & de Bruijne, Marleen, 2007, (Submitted) Patent No. P15203GB, 18 May 2007Research output: Patent
- Published
Semi-automatic segmentation of vertebrae in lateral X-rays using a conditional shape model
Iglesias, J. E. & de Bruijne, Marleen, 2007, In: Academic Radiology. 14, 10, p. 1156-1165Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Semi-automatic detection of calcifications using nonlinear stretching on X-ray images
Conrad-Hansen, L. A., de Bruijne, Marleen, Nielsen, Mads & Petrou, M., 2007, Medical Imaging 2007: Computer-aided diagnosis, 20-22 February, 2007, San Diego, California, USA. Giger, M. L. & Karssemeijer, N. (eds.). SPIE, 7 p. (Proceedings of SPIE; No. 6514).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Semi-automatic aortic endograft localisation for post-operative evaluation of endovascular aneurysm treatment
de Bruijne, Marleen, Niessen, W., Maintz, J. & Viergever, M., 2001, MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3. Vol. 2. p. 395-406Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks
Bortsova, G., van Tulder, G., Dubost, F., Peng, T., Navab, N., van der Lugt, A., Bos, D. & 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. & Duchesne, S. (eds.). Springer, p. 356-364 9 p. (Lecture notes in computer science, Vol. 10435).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Scalable kernels for graphs with continuous attributes
Feragen, A., Kasenburg, N., Petersen, Jens, de Bruijne, Marleen & Borgwardt, K., 2013, 27th Annual Conference on Neural Information Processing Systems 2013: NIPS 2013. Burges, C. J. C., Bottou, L., Welling, M., Ghahramani, Z. & Weinberger, K. Q. (eds.). Curran Associates, Inc., p. 216-224 9 p. (Advances in Neural Information Processing Systems, Vol. 26).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Robust shape regression for supervised vessel segmentation and its application to coronary segmentation in CTA
Schaap, M., van Walsum, T., Neefjes, L., Metz, C., Capuano, E., de Bruijne, Marleen & Niessen, W., 2011, In: IEEE Transactions on Medical Imaging. 30, 11, p. 1974-1986 13 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
Reversibility of trapped air on CT scans of cystic fibrosis patients, an automated approach
Loeve, M., de Bruijne, Marleen, Gorbunova, V., Hop, W. C. & Tiddens, H. A. W. M., 2011, In: Journal of Cystic Fibrosis. 10 , Supplement 1 , p. S51 1 p., 201.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Respiratory muscle movement in Pompe disease using cine Magnetic Resonance Imaging
Ciet, P., Wens, S., Perez-Rovira, A., Logie, K., Wielopolski, P., de Bruijne, Marleen, Ploeg, A. V. D., Doorn, P. V. & Tiddens, H., 2013.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction
Dudurych, I., Garcia-Uceda, A., Petersen, Jens, Du, Y., Vliegenthart, R. & de Bruijne, Marleen, 2023, In: European Radiology. 33, p. 6718–6725Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Representation learning for cross-modality classification
Tulder, G. V. & de Bruijne, Marleen, 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (eds.). Springer, p. 126-136 11 p. (Lecture notes in computer science, Vol. 10081).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
- Published
Reliability of computer-assisted periacetabular osteotomy using a minimally invasive approach
De Raedt, S., Mechlenburg, I., Stilling, M., Rømer, L., Murphy, R. J., Armand, M., Lepistö, J., de Bruijne, Marleen & Søballe, K., 2018, In: International Journal of Computer Assisted Radiology and Surgery. 13, 12, p. 2021-2028 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Relation between wall shear stress and carotid artery wall thickening MRI versus CFD
Cibis, M., Potters, W. V., Selwaness, M., Gijsen, F. J., Franco, O. H., Arias Lorza, A. M., de Bruijne, Marleen, Hofman, A., van der Lugt, A., Nederveen, A. J. & Wentzel, J. J., 2016, In: Journal of Biomechanics. 49, 5, p. 735-741 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Regression-based cardiac motion prediction from single-phase CTA
Metz, C. T., Baka, N., Kirisli, H., Schaap, M., Klein, S., Neefjes, L. A., Mollet, N. R., Lelieveldt, B., de Bruijne, Marleen, Niessen, W. J. & Walsum, T. V., 2012, In: I E E E Transactions on Medical Imaging. 31, 6, p. 1311-1325 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Region-of-interest guided supervoxel inpainting for self-supervision
Kayal, S., Chen, S. & de Bruijne, Marleen, 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer VS, p. 500-509 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12261 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Reference values and variation of acetabular angles measured by computed tomography in 170 asymptomatic hips
Mechlenburg, I., Stilling, M., Rømer, L., de Bruijne, Marleen, Søballe, K. & de Raedt, S., 28 Feb 2019, In: Acta Radiologica. 60, 7, p. 895–901Research output: Contribution to journal › Journal article › Research › peer-review
Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images
Conrad-Hansen, L. A., de Bruijne, Marleen, Lauze, F., Tanko, L. B. & Nielsen, M., 2005, Computer Vision for Biomedical Image Applications: ICCV workshop. <Forlag uden navn>, p. 409-418 (Lecture notes in computer science, Vol. 3765/2005).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Quantitative vertebral morphometry using neighbor-conditional shape models
de Bruijne, Marleen, Lund, M. T., Tankó, L. B., Pettersen, P. C. & Nielsen, M., 2006, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006: 9th International Conference, Copenhagen, Denmark, October 1-6, 2006. Proceedings, Part I. <Forlag uden navn>, p. 1-8 (Lecture notes in computer science, Vol. 4190/2006).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
Quantitative imaging biomarkers in neurologic disease: population study perspective
Niessen, W. J., Vrooman, H. A., de Boer, R., van der Lijn, F., Achterberg, H. C., Koek, M., Klein, S., van der Lugt, A., de Bruijne, Marleen, Ikram, M. A. & Vernooij, M. W., 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, p. 911 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
- Published
Quantitative image analysis using statistical models
de Bruijne, Marleen, 2007, International workshop on image analysis in the life sciences: Theory and applications. Johannes Kepler Universität, Linz (Austria), february 28 - March 2, 2007. p. 10 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Commissioned
- Published
Quantitative analysis of pulmonary emphysema using local binary patterns
Sørensen, L. E. B. L., Shaker, S. B. & de Bruijne, Marleen, 2010, In: IEEE Transactions on Medical Imaging. 29, 2, p. 559-569 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Quantitative analysis of airway abnormalities in CT
Petersen, Jens, Lo, P. C. P., Nielsen, Mads, Edula, G., Ashraf, H., Dirksen, A. & de Bruijne, Marleen, 2010, Medical Imaging 2010: computer-aided Diagnosis. Karssemeijer, N. & Summers, R. M. (eds.). SPIE - International Society for Optical Engineering, 12 p. 76241S. (Progress in Biomedical Optics and Imaging; No. 34, Vol. 11).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Quantitative airway analysis in longitudinal studies using groupwise registration and 4D optimal surfaces
Petersen, Jens, Modat, M., Cardoso, M. J., Dirksen, A., Ourselin, S. & de Bruijne, Marleen, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (eds.). Springer, Vol. 2. p. 287-294 8 p. (Lecture notes in computer science, Vol. 8150).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation
Camarasa, R., Bos, D., Hendrikse, J., Nederkoorn, P., Kooi, E., van der Lugt, A. & de Bruijne, Marleen, 2020, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - 2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings. Sudre, C. H., Fehri, H., Arbel, T., Baumgartner, C. F., Dalca, A., Tanno, R., Van Leemput, K., Wells, W. M., Sotiras, A., Papiez, B., Ferrante, E. & Parisot, S. (eds.). Springer, p. 32-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12443 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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