Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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Multi-feature-based plaque characterization in ex vivo MRI trained by registration to 3D histology
Engelen, A. V., Niessen, W. J., Klein, S., Groen, H. C., Verhagen, H. J. M., Wentzel, J. J., Lugt, A. V. D. & de Bruijne, Marleen, 2012, In: Physics in Medicine and Biology. 57, 1, p. 241-256 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
Multi-object segmentation using shape particles
de Bruijne, Marleen & Nielsen, M., 2005, Information Processing in Medical Imaging. <Forlag uden navn>, p. 762-773 (Lecture notes in computer science, Vol. 3565/2005).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Multi-object tracking of human spermatozoa
Sørensen, L. E. B. L., Østergaard, J., Johansen, P. & de Bruijne, Marleen, 2008, Medical Imaging 2008: Image Processing, Conference Proceedings. Reinhardt, J. M. & Pluim, J. P. W. (eds.). SPIE - International Society for Optical Engineering, p. 69142C 12 p. (Proceedings of SPIE; No. 6914).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation
Chen, S., Bortsova, G., Juárez, A. G. U., van Tulder, G. & 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. 457-465 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11766 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Multicentre chest computed tomography standardisation in children and adolescents with cystic fibrosis: the way forward
Kuo, W., Kemner-van de Corput, M. P. C., Perez-Rovira, A., de Bruijne, Marleen, Fajac, I., Tiddens, H. A. W. M. & van Straten, M., 2016, In: The European Respiratory Journal. 47, 6, p. 1706-1717 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Multiple classifier systems in texton-based approach for the classification of CT images of Lung
Gangeh, M. J., Sørensen, L., Shaker, S. B., Kamel, M. S. & de Bruijne, Marleen, 2011, Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging: International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers. Menze, B., Langs, G., Tu, Z. & Criminsi, A. (eds.). Springer, p. 153-163 11 p. (Lecture notes in computer science, Vol. 6533).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Multiscale Vessel-guided Airway Tree Segmentation
Lo, P. C. P., Sporring, Jon & de Bruijne, Marleen, 2009, Proceedings of 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. 323-332 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Natural Progression of Lung Density Changes in COPD Measured by MSCT: Correlation to Lung Function
Edula, G., Ashraf, H., Lo, P., de Bruijne, Marleen, Dahlbäck, M. & Pedersen, J. H., 2009, In: American Journal of Respiratory and Critical Care Medicine. 1, p. A6215 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Nested star-shaped objects segmentation using diameter annotations
Camarasa, R., Kervadec, H., Kooi, M. E., Hendrikse, J., Nederkoorn, P. J., Bos, D. & de Bruijne, Marleen, 2023, In: Medical Image Analysis. 90, 11 p., 102934.Research output: Contribution to journal › Journal article › Research › peer-review
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Nonrigid registration of volumetric images using ranked order statistics
Tennakoon, R., Bab-Hadiashar, A., Cao, Z. & de Bruijne, Marleen, 2014, In: I E E E Transactions on Medical Imaging. 33, 2, p. 422-432 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Cheplygina, V., de Bruijne, Marleen & Pluim, J. P. W., 29 Mar 2019, In: Medical Image Analysis. 54, p. 280-296 17 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Objective airway artery dimensions compared to CT scoring methods assessing structural cystic fibrosis lung disease
Kuo, W., Andrinopoulou, E., Perez-Rovira, A., Ozturk, H., de Bruijne, Marleen & Tiddens, H. A. W. M., Jan 2017, In: Journal of Cystic Fibrosis. 16, 1, p. 116–123 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Obstructive pulmonary function: Patient classification using 3D registration of inspiration and expiration CT images
Murphy, K., van Ginneken, B., van Rikxoort, E. M., de Hoop, B. J., Prokop, M., Lo, P., de Bruijne, Marleen & Pluim, J. P. W., 2009, Proceedings of the Second International Workshop on Pulmonary Image Analysis. Brown, M., de Bruijne, M., van Ginneken, B., Kiraly, A., Kuhnigk, J-M., Lorenz, C., Lorenz, C., McClelland, J. R., Mori, K., Reeves, A. & Reinhardt, J. M. (eds.). ClearSpace, p. 37-49 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Optimal CT-technique for the detection of emphysema progression
Shaker, S. B., Lo, P. C. P., Wigstrom, L., de Bruijne, Marleen & Dirksen, A., 2010.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Optimal graph based segmentation using flow lines with application to airway wall segmentation
Petersen, Jens, Nielsen, Mads, Lo, P. C. P., Saghir, Z., Dirksen, A. & 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. 49-60 12 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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Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease
Petersen, Jens, Nielsen, Mads, Lo, P. C. P., Nordenmark, L. H., Pedersen, J. J. H., Wille, M. M. W., Dirksen, A. & de Bruijne, Marleen, 2014, In: Medical Image Analysis. 18, 3, p. 531-541 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
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PRAGMA-CF. A quantitative structural lung disease CT outcome in young children with cystic fibrosis
Rosenow, T., Oudraad, M. C. J., Murray, C. P., Turkovic, L., Kuo, W., de Bruijne, Marleen, Ranganathan, S. C., Tiddens, H. A. W. M. & Stick, S. M., 2015, In: American Journal of Respiratory and Critical Care Medicine. 191, 10, p. 1158-1165 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Pattern Recognition based Emphysema Quantification
Sørensen, L. E. B. L. & de Bruijne, Marleen, 2008, Proceedings of the 16th Danish Conference on Pattern Recognition and Image Analysis. Olsen, S. I. (ed.). Department of Computer Science, University of Copenhagen, 2 p. (Department of Computer Science. University of Copenhagen. Technical Report; No. 08-10).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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Performance of segmentation software on large longitudinal database of pulmonary nodules in the Danish Lung Cancer Screening Trial (DLCST)
Saghir, Z., Jacobs, C., van Ginneken, B., de Bruijne, Marleen, Dirksen, A. & Pedersen, J. H., 2012, In: European Respiratory Journal. 40, Supplement 56, p. 23s 1 p., P262.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology
van Engelen, A., de Bruijne, Marleen, Klein, S., Verhagen, H., Groen, H., Wentzel, J., van der Lugt, A. & Niessen, W., 2011, Medical Imaging 2011: computer-aided diagnosis. Summers, R. M. & van Ginneken, B. (eds.). SPIE - International Society for Optical Engineering, Vol. Part One. 11 p. 796329. (Progress in Biomedical Optics and Imaging; No. 32, Vol. 12).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology
van Engelen, A., de Bruijne, Marleen, Klein, S., Groen, H., Wentzel, J., van der Lugt, A. & Niessen, W., 2011.Research output: Contribution to conference › Conference abstract for conference › Research
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Prediction of dementia by hippocampal shape analysis
Achterberg, H., van der Lijn, F., den Heijer, T., van der Lugt, A., Breteler, M., Niessen, W. & de Bruijne, Marleen, 2011.Research output: Contribution to conference › Conference abstract for conference › Research
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Prediction of dementia by hippocampal shape analysis
Achterberg, H. C., van der Lijn, F., den Heijer, T., van der Lugt, A., Breteler, M. M. B., Niessen, W. J. & de Bruijne, Marleen, 2010, Machine Learning in Medical Imaging: First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings. Wang, F., Yan, P., Suzuki, K. & Shen, D. (eds.). Springer, p. 42-49 8 p. (Lecture notes in computer science, Vol. 6357).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Preface
Brown, M., de Bruijne, Marleen, Ginneken, B. V., Kuhnigk, A. K. A. J. M., Lorenz, C., McClelland, J. R., Mori, K., Reeves, A. P. & Reinhardt, J., 2009, Second International Workshop on Pulmonary Image Analysis: Proceedings of the Second International Workshop on Pulmonary Image Analysis. Create Space, p. 1Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
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Preface
Ernst, F., Heinrich, M., Lellmann, J., Schlaefer, A., Dou, Q. & de Bruijne, Marleen, 2021, e Proceedings of the Fourth International Conference on Medical Imaging with Deep Learning – MIDL 2021. PMLR, p. 1-4 (Proceedings of Machine Learning Research, Vol. 143).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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Preface: Information Processing in Medical Imaging (IPMI 2023)
Frangi, A., de Bruijne, Marleen, Wassermann, D. & Navab, N., 2023, Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings. Springer, p. v-vi (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13939 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Research
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Preface
Arbel, T., Ayed, I. B., de Bruijne, Marleen, Descoteaux, M., Lombaert, H. & Pal, C., 2020, Proceedings of the Third Conference on Medical Imaging with Deep Learning – MIDL 2020. PMLR, Vol. 121. p. 1-5 (Proceedings of Machine Learning Research, Vol. 121).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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Preface
Brown, M., de Bruijne, Marleen, Ginneken, B. V., Kiraly, A., Kuhnigk, J. M., Lorenz, C., Mori, K. & Reinhardt, J., 2008, The First International Workshop on Pulmonary Image Analysis. Canada: Lulu.com, 1 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
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Preface (vols 1-8)
de Bruijne, Marleen, Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII. Springer, Vol. 12905 LNCS. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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Prior knowledge regularization in statistical medical image tasks
Crimi, A., Sporring, Jon, de Bruijne, Marleen, Lillholm, Martin & Nielsen, Mads, 2009, Proceedings of the MICCAI Workshop on Probabilistic Models for Medical Image Analysis. 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Probability of malignancy based on automatic segmentation and software measurements of nodules in the Danish lung cancer screening trial (DLCST)
Saghir, Z., Jacobs, C., van Ginneken, B., de Bruijne, Marleen, Dirksen, A. & Pedersen, J. H., 2012, In: European Respiratory Journal. 40, Supplement 56, p. 777s 1 p., P4185.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Quantification and visualization of variation in anatomical trees
Amenta, N., Datar, M., Dirksen, A., de Bruijne, Marleen, Feragen, A., Ge, X., Pedersen, J., Howard, M., Owen, M., Petersen, Jens, Shi, J. & Xu, Q., 2015, Research in shape modeling. Leonard, K. & Tari, S. (eds.). Springer, p. 57-79 23 p. (Association for Women in Mathematics Series, Vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks
Marques, F., Dubost, F., Corput, M. K. D., Tiddens, H. A. W. & de Bruijne, Marleen, 2018, Medical Imaging 2018: Image Processing. SPIE - International Society for Optical Engineering, 7 p. 105741G. (Proceedings of SPIE International Symposium on Medical Imaging, Vol. 10574).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Quantification of diaphragm mechanics in Pompe disease using dynamic 3D MRI
Mogalle, K., Perez-Rovira, A., Ciet, P., Wens, S. C. A., van Doorn, P. A., Tiddens, H. A. W. M., van der Ploeg, A. T. & de Bruijne, Marleen, 2016, In: P L o S One. 11, 7, 24 p., e0158912.Research output: Contribution to journal › Journal article › Research › peer-review
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Quantification of smoothing requirement for 3D optic flow calculation of volumetric images
Bab-Hadiashar, A., Tennakoon, R. B. & de Bruijne, Marleen, 2013, In: IEEE Transactions on Image Processing. 22, 6, p. 2128-2137 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Quantifying calcification in the lumbar aorta on X-ray images
Conrad-Hansen, L. A., de Bruijne, Marleen, Lauze, F. B., Tankó, L. B., Pettersen, P. C., He, Q., Chen, J., Christiansen, C. & Nielsen, Mads, 2007, Medical Image Computing and Computer-Assisted Intervention: 10th International conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II. Ayache, N., Ourselin, S. & Maeder, A. (eds.). Springer, p. 352-359 (Lecture notes in computer science; No. 4792).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Quantifying emphysema extent from weakly labeled CT scans of the lungs using label proportions learning
Ørting, S. N., Petersen, Jens, Wille, M., Thomsen, L. & de Bruijne, Marleen, 2016, The Sixth International Workshop on Pulmonary Image Analysis. Beichel, R. R., Farahani, K., Jacobs, C., Kabus, S., Kiraly, A. P., Kuhnigk, J-M., McClelland, J. R., Mori, K., Petersen, J. & S. R. (eds.). CreateSpace Independent Publishing Platform , p. 31-42 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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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
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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
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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
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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
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
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
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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
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
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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
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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
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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
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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