Marleen de Bruijne
Professor
Machine Learning
Universitetsparken 1, 2100 København Ø
- Published
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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Comparison of shape regression methods under landmark position uncertainty
Baka, N., Metz, C., Schaap, M., Lelieveldt, B., Niessen, W. & de Bruijne, Marleen, 2011, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011: 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II. Fichtinger, G., Martel, A. & Peters, T. (eds.). Springer, Vol. Part II. p. 434-441 8 p. (Lecture notes in computer science, Vol. 6892).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
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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 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
- E-pub ahead of print
Burden of intracranial artery calcification in white patients with ischemic stroke
Berghout, B. P., Camarasa, R. Y. R., Van Dam-Nolen, D. H. K., van der Lugt, A., de Bruijne, Marleen, Koudstaal, P. J., Ikram, M. K. & Bos, D., 2024, (E-pub ahead of print) In: European Stroke Journal.Research output: Contribution to journal › Journal article › Research › peer-review
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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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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
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Deep Learning from Label Proportions for Emphysema Quantification
Bortsova, G., Dubost, F., Ørting, S., Katramados, I., Hogeweg, L., Thomsen, L., Wille, M. & de Bruijne, Marleen, 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, 2018, Proceedings Part II. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (eds.). Springer, p. 768-776 (Lecture notes in computer science, Vol. 11071).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Adversarial attack vulnerability of medical image analysis systems: Unexplored factors
Bortsova, G., González-Gonzalo, C., Wetstein, S. C., Dubost, F., Katramados, I., Hogeweg, L., Liefers, B., van Ginneken, B., Pluim, J. P. W., Veta, M., Sánchez, C. I. & de Bruijne, Marleen, 2021, In: Medical Image Analysis. 73, 14 p., 102141.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CT
Bortsova, G., Bos, D., Dubost, F., Vernooij, M. W., Ikram, M. K., van Tulder, G. & de Bruijne, Marleen, Sep 2021, In: Radiology: Artificial Intelligence. 3, 5, 10 p., e200226.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
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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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 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 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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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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A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
Camarasa, R., Bos, D., Hendrikse, J., Nederkoorn, P., Kooi, M. E., Lugt, A. V. D. & de Bruijne, Marleen, 22 Sep 2021, In: The Journal of Machine Learning for Biomedical Imaging. 2021, p. 1-39 013.Research output: Contribution to journal › Journal article › 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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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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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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Automated registration of freehand B-mode ultrasound and magnetic resonance imaging of the carotid arteries based on geometric features
Carvalho, D. D. B., Arias Lorza, A. M., Niessen, W. J., de Bruijne, Marleen & Klein, S., 2017, In: Ultrasound in Medicine & Biology. 43, 1, p. 273–285 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
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DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data
Chatterjee, S., Prabhu, K., Pattadkal, M., Bortsova, G., Sarasaen, C., Dubost, F., Mattern, H., de Bruijne, Marleen, Speck, O. & Nürnberger, A., 22 Sep 2022, In: Journal of Imaging. 8, 10, p. 1-22 259.Research output: Contribution to journal › Journal article › 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
An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images
Chen, S. & de Bruijne, Marleen, 8 Nov 2018. 4 p.Research output: Contribution to conference › Paper › Research › peer-review
- Published
An end-to-end approach to segmentation in medical images with CNN and posterior-CRF
Chen, S., Sedghi Gamechi, Z., Dubost, F., van Tulder, G. & de Bruijne, Marleen, Feb 2022, In: Medical Image Analysis. 76, p. 1-12 102311.Research output: Contribution to journal › Journal article › 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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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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Asymmetric similarity-weighted ensembles for image segmentation
Cheplygina, V., Van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2016, 2016 IEEE International Symposium on Biomedical Imaging: from Nano to Macro. IEEE, p. 273-277 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Classification of COPD with multiple instance learning
Cheplygina, V., Sørensen, L. E. B. L., Tax, D., Pedersen, J. J. H., Loog, M. & de Bruijne, Marleen, 2014, 22nd International Conference on Pattern Recognition (ICPR) 2014. IEEE, p. 1508-1513 6 p. (International Conference on Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Crowdsourcing airway annotations in chest computed tomography images
Cheplygina, V., Perez-Rovira, A., Kuo, W., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2021, In: PLoS ONE. 16, e0249580.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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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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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
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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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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 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
- Published
Automated Quantification of the Morphological Atherosclerotic Calcification Distribution on X-Rays Is a Strong Predictor of Mortality in Postmenopausal Women
Christiansen, C., Karsdal, M., Lauze, Francois Bernard, Dam, E., Ganz, Melanie, de Bruijne, Marleen, Sørensen, M., Barascuk, N. & Nielsen, Mads, 2008, In: Arteriosclerosis, Thrombosis, and Vascular Biology. 6, p. e48-e48 1 p.Research output: Contribution to journal › Conference abstract in journal › 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
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
Chest-CT protocol standardization for multicentre trial in cystic fibrosis (CF) infants
Ciet, P., Graniel, K. G., Stick, S., de Bruijne, Marleen, Tiddens, H. & Straten, M. V., 2013, In: Insights into Imaging. 4, Supplement 1, 1 p., B-0737.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
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
- Published
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
- Published
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
- 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
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
A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images
Conrad-Hansen, L., de Bruijne, Marleen, Lauze, F., Tankó, L. B. & Nielsen, M., 2006, Medical Imaging: Image Processing. Pluim, J. P. W. & Reinhardt, J. M. (eds.). (Proceedings of SPIE; No. 6144).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
- Published
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
- 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
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
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
- Published
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
- 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
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
- Published
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
- Published
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks
Dubost, F., Collery, B., Renaudier, A., Roc, A., Posocco, N., Niessen, W. & de Bruijne, Marleen, 2020, Computational Methods and Clinical Applications for Spine Imaging: 6th International Workshop and Challenge, CSI 2019, Proceedings. Cai, Y., Wang, L., Audette, M., Zheng, G. & Li, S. (eds.). Springer VS, p. 88-94 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11963 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites
Dubost, F., Dünnwald, M., Huff, D., Scheumann, V., Schreiber, F., Vernooij, M., Niessen, W., Skalej, M., Schreiber, S., Oeltze-Jafra, S. & de Bruijne, Marleen, 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). Springer VS, p. 103-111 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11796 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI
Dubost, F., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, Marleen, Jan 2019, In: Medical Image Analysis. 51, p. 89-100Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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
- Published
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
- 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
Bronchial wall parameters on CT in healthy never-smoking, smoking, COPD, and asthma populations: a systematic review and meta-analysis
Dudurych, I., Muiser, S., McVeigh, N., Kerstjens, H. A. M., van den Berge, M., de Bruijne, Marleen & Vliegenthart, R., 2022, In: European Radiology. 32, p. 5308–5318Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Creating a training set for artificial intelligence from initial segmentations of airways
Dudurych, I., Garcia-Uceda, A., Saghir, Zaigham, Tiddens, H. A. W. M., Vliegenthart, R. & de Bruijne, Marleen, 2021, In: European radiology experimental. 5, 1, 7 p., 54.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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
- Published
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
- Published
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
- Published
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
- Published
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
- Published
Determinants of Perivascular Spaces in the General Population: A Pooled Cohort Analysis of Individual Participant Data
Evans, T. E., Knol, M. J., Schwingenschuh, P., Wittfeld, K., Hilal, S., Ikram, M. A., Dubost, F., Van Wijnen, K. M. H., Katschnig, P., Yilmaz, P., de Bruijne, Marleen, Habes, M., Chen, C., Langer, S., Völzke, H., Ikram, M. K., Grabe, H. J., Schmidt, R., Adams, H. H. H. & Vernooij, M. W., 2023, In: Neurology. 100, 2, p. E107-E122Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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
- Published
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
- Published
A hierarchical scheme for geodesic anatomical labeling of airway trees
Feragen, A., Petersen, Jens, Owen, M., Lo, P. C. P., Thomsen, L., Wille, M. M. W., Dirksen, A. & de Bruijne, Marleen, 2012, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III. Ayache, N., Delingette, H., Golland, P. & Mori, K. (eds.). Springer, p. 147-155 9 p. (Lecture notes in computer science, Vol. 7512).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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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