Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
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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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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
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
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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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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
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Imaging of respiratory muscles in neuromuscular disease: A review
Harlaar, L., Ciet, P., van der Ploeg, A. T., Brusse, E., van der Beek, N. A. M. E., Wielopolski, P. A., de Bruijne, Marleen, Tiddens, H. A. W. M. & van Doorn, P. A., 1 Mar 2018, In: Neuromuscular Disorders. 28, 3, p. 246-256 11 p.Research output: Contribution to journal › Review › Research › peer-review
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Automatic airway segmentation in chest CT using convolutional neural networks
Juarez, A. G. U., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2018, Image Analysis for Moving Organ, Breast, and Thoracic Images: Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. Springer, p. 238-250 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11040 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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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LONGITUDINAL ASSESSMENT OF CT REGIONS OF LOW ATTENUATION REVERSIBILITY IN YOUNG CHILDREN WITH CYSTIC FIBROSIS
Mok, L., Andrinopoulou, E., de Bruijne, Marleen, Tiddens, H., Stick, S. & Rosenow, T., 2018, In: Respirology. 23, Suppl. 1/SI, p. 57-57 TO 069.Research output: Contribution to journal › Meeting Abstract › Research
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Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans
Nyboe Ørting, S., Petersen, Jens, Cheplygina, V., Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 2018, Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 16, 2018 Proceedings. Stoyanov, D., Taylor, Z., Balocco, S. & Sznitman, R. (eds.). Springer, p. 140-149 Chapter 16. (Lecture Notes in Computer Science, Vol. 11043).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Detecting emphysema with multiple instance learning
Orting, S. N., Petersen, Jens, Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE, p. 510-513Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Automatic emphysema detection using weakly labeled HRCT lung images
Pino Peña, I., Cheplygina, V., Paschaloudi, S., Vuust, M., Carl, J., Weinreich, U. M., Østergaard, L. R. & de Bruijne, Marleen, 2018, In: PLoS ONE. 13, 10, p. 1-16 e0205397.Research output: Contribution to journal › Journal article › Research › peer-review
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Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction
Selvan, Raghav, Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018, Medical Image Computingand Computer AssistedIntervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16–20, 2018, Proceedings, Part II. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (eds.). Springer, p. 750-758 (Lecture notes in computer science, Vol. 11071).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Extraction of Airways using Graph Neural Networks
Selvan, Raghav, Kipf, T., Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018. 3 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Aorta and pulmonary artery segmentation using optimal surface graph cuts in non-contrast CT
Sedghi Gamechi, Z., Arias-Lorza, A. M., Pedersen, J. H. & de Bruijne, Marleen, 2018, Medical Imaging 2018: Image Processing. SPIE - International Society for Optical Engineering, 7 p. 105742D. (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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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
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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