Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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A Computer-based Measure Using Normalized Heights Predicts Vertebral Fracture Independent of BMD in Post-menopausal Women
A. Ghosh, de Bruijne, Marleen, C. Pettersen, M. A. Karsdal, D. J. Leeming, C. Christiansen, P. & Nielsen, Mads, 2008, In: Journal of Bone and Mineral Research. suppl. S, p. S333 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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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
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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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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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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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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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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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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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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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Carotid artery wall segmentation by coupled surface graph cuts
Arias, A., Petersen, Jens, van Engelen, A., Tang, H., Selwaness, M., Witteman, J. C. M., van der Lugt, A., Niessen, W. & de Bruijne, Marleen, 2013, Medical Computer Vision. Recognition techniques and applications in medical imaging: Second International MICCAI Workshop, MCV 2012, Nice, France, Revised Selected Papers. Menze, B. H., Langs, G., Lu, L., Montillo, A., Tu, Z. & Criminisi, A. (eds.). Springer, p. 38-47 10 p. (Lecture notes in computer science, Vol. 7766).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Maximization of regional probabilities using Optimal Surface Graphs: application to carotid artery segmentation in MRI
Arias Lorza, A. M., Van Engelen, A., Petersen, Jens, Van Der Lugt, A. & de Bruijne, Marleen, 1 Mar 2018, In: Medical Physics. 45, 3, p. 1159-1169Research output: Contribution to journal › Journal article › Research › peer-review
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Cooperative carotid artery centerline extraction in MRI
Arias-Lorza, A. M., Bos, D., van der Lugt, A. & de Bruijne, Marleen, May 2018, In: PLOS ONE. 13, 5, 16 p., e0197180.Research output: Contribution to journal › Journal article › Research › peer-review
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Carotid artery wall segmentation in multispectral MRI by coupled optimal surface graph cuts
Arias-Lorza, A. M., Petersen, Jens, van Engelen, A., Selwaness, M., van der Lugt, A., J. Niessen, W. & de Bruijne, Marleen, 2016, In: IEEE Transactions on Medical Imaging. 35, 3, p. 901-911 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
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A longitudinal follow-up of COPD disease progression in a large cohort of smokers screened for early lung cancer: CBQ study
Ashraf, H., Edula, G., de Bruijne, Marleen, Nielsen, Mads, Dahlbäck, A. D. M. & Pedersen, J. H., 2009, In: American Journal of Respiratory and Critical Care Medicine. p. A1492 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Change in Smoking Habits Affects Lung Density by CT
Ashraf, H., Lo, P., Shaker, S. B., de Bruijne, Marleen, Tønnesen, A. D. P., Dahlbäck, M. & Pedersen, J. H., 2009, American Thoracic Society International Conference. p. A5573 1 p. (American Journal of Respiratory and Critical Care Medicine; No. 1, Vol. 179).Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › 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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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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3D+t/2D+t CTA-XA registration using population-based motion estimates
Baka, N., Metz, C. T., Schultz, C., Neefjes, L., van Geuns, R. J., Lelieveldt, B. P. F., Niessen, W. J., de Bruijne, Marleen & van Walsum, T., 2012, Proceedings, MICCAI-STENT'12: 1st MICCAI-Workshop on Computer Assisted Stenting . Demirci, L. & Radeva, U. (eds.). MICCAI , p. 64-71 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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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Confidence of model based shape reconstruction from sparse data
Baka, N., de Bruijne, Marleen, Reiber, J. H. C., Niessen, W. & Lelieveldt, B. P. F., 2010, 2010 IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE, p. 1077-1080 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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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2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models
Baka, N., Kaptein, B. L., de Bruijne, Marleen, van Walsum, T., Giphart, J. E., Niessen, W. J. & Lelieveldt, B. P. F., 2011, In: Medical Image Analysis. 15, 6, p. 840-850 11 p.Research output: Contribution to journal › Journal article › 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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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
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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