Marleen de Bruijne

Marleen de Bruijne

Professor


  1. Published

    Crowdsourced emphysema assessment

    Ørting, S. N., Cheplygina, V., Petersen, Jens, Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 2017, Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Lee, S-L., Cheplygina, V., Balocco, S., Mateus, D., Zahnd, G., Maier-Hein, L., Dermirci, S., Granger, E., Duong, L., Carbonneau, M-A., Albarquoni, S. & Carneiro, G. (eds.). Springer, p. 126-135 10 p. (Lecture notes in computer science, Vol. 10552).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  2. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  3. Published

    Automated brain structure segmentation based on atlas registration and appearance models

    van der Lijn, F., de Bruijne, Marleen, Klein, S., den Heijer, T., Hoogendam, Y. Y., van der Lugt, A., Breteler, M. M. B. & Niessen, W. J., 2012, In: IEEE Transactions on Medical Imaging. 31, 2, p. 276-286 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Automated measurement of local white matter lesion volume

    van der Lijn, F., Verhaaren, B. F. J., Ikram, M. A., Klein, S., de Bruijne, Marleen, Vrooman, H. A., Vernooij, M. W., Hammers, A., Rueckert, D., van der Lugt, A., Breteler, M. M. B. & Niessen, W. J., 2012, In: NeuroImage. 59, 4, p. 3901-3908 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    Cerebellum segmentation in MRI using atlas registration and local multi-scale image descriptors

    van der Lijn, F., de Bruijne, Marleen, Hoogendam, Y. Y., Klein, S., Hameeteman, R., Breteler, M. & Niessen, W., 2009, IEEE International Symposium on Biomedical Imaging (ISBI'09): From Nano to Macro. p. 221-224 4 p. (Uden navn).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Automated lesion detection by regressing intensity-based distance with a neural network

    van Wijnen, K. M. H., Dubost, F., Yilmaz, P., Ikram, M. A., Niessen, W. J., Adams, H., Vernooij, M. W. & 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. 234-242 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 proceedingArticle in proceedingsResearchpeer-review

  7. Published

    Learning Cross-Modality Representations from Multi-Modal Images

    van Tulder, G. & de Bruijne, Marleen, 2019, In: IEEE Transactions on Medical Imaging. 38, 2, p. 638-648

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Learning features for tissue classification with the classification restricted Boltzmann machine

    van Tulder, G. & de Bruijne, Marleen, 2014, Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Menze, B., Langs, G., Montillo, A., Kelm, M., Müller, H., Zhang, S., Cai, W. T. & Metaxas, D. (eds.). Springer, p. 47-58 12 p. (Lecture notes in computer science).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Published

    Unpaired, unsupervised domain adaptation assumes your domains are already similar

    van Tulder, G. & de Bruijne, Marleen, 2023, In: Medical Image Analysis. 87, 17 p., 102825.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Why does synthesized data improve multi-sequence classification?

    van Tulder, G. & de Bruijne, Marleen, 2015, Medical image computing and computer assisted interventions - MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Springer, p. 531-538 8 p. (Lecture notes in computer science, Vol. 9349).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  11. Published

    Combining generative and discriminative representation learning for lung CT analysis with convolutional restricted Boltzmann machines

    van Tulder, G. & de Bruijne, Marleen, 2016, In: IEEE Transactions on Medical Imaging. 35, 5, p. 1262-1272 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

    Integrating local voxel classification and global shape models for medical image segmentation

    van Rikxoort, E. M., de Bruijne, Marleen & van Ginneken, B., 2008, Medical Imaging 2008: Image Processing, Conference Proceedings. Reinhardt, J. M. & Pluim, J. P. W. (eds.). SPIE - International Society for Optical Engineering, p. Article 69144J 6 p. (Proceedings of SPIE; No. 6914).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  13. Published

    Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning

    van Opbroek, A., Achterberg, H. C., Vernooij, M. W. & de Bruijne, Marleen, 2019, In: IEEE Transactions on Medical Imaging. 38, 1, p. 213-224 8419778.

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Published

    Automated brain-tissue segmentation by multi-feature SVM classification

    van Opbroek, A., van der Lijn, F. & de Bruijne, Marleen, 2013, The MICCAI Grand Challenge on MR Brain Image Segmentation (MRBrainS13). 8 p. (The MIDAS Journal).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

  15. Published

    Feature-space transformation improves supervised segmentation across scanners

    van Opbroek, A., Achterberg, H. C. & de Bruijne, Marleen, 2015, Machine learning meets medical imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers. Springer, p. 85-93 9 p. (Lecture notes in computer science, Vol. 9487).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  16. Published

    Weighting training images by maximizing distribution similarity for supervised segmentation across scanners

    van Opbroek, A., Vernooij, M. W., Ikram, M. A. & de Bruijne, Marleen, 2015, In: Medical Image Analysis. 24, 1, p. 245-254 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  17. Published

    Transfer learning improves supervised image segmentation across imaging protocols

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 5, p. 1018-1030 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  18. Published

    A transfer-learning approach to image segmentation across scanners by maximizing distribution similarity

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2013, Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Wu, G., Zhang, D., Shen, D., Yan, P., Suzuki, K. & Wang, F. (eds.). Springer, p. 49-56 8 p. (Lecture notes in computer science, Vol. 8184).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  19. Published

    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 journalJournal articleResearchpeer-review

  20. Published

    Supervised image segmentation across scanner protocols: a transfer learning approach

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2012, Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers. Wang, F., Shen, D., Yan, P. & Suzuki, K. (eds.). Springer, p. 160-167 8 p. (Lecture notes in computer science, Vol. 7588).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  21. Interactive shape models

    van Ginneken, B., de Bruijne, Marleen, Loog, M. & Viergever, M. A., 2003, Proceedings of SPIE. p. 1206-1216 (Medical Imaging 2003: Image Processing, Vol. 5032).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  22. Evaluating classifiers for atherosclerotic plaque component segmentation in MRI

    van Engelen, A., de Bruijne, Marleen, Schneider, T., van Dijk, A. C., Kooi, M. E., Hendrikse, J., Nederveen, A., Niessen, W. & Botnar, R. M., 2017, Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings. Hernández, M. V. & González-Castro, V. (eds.). Springer, Vol. 723. p. 156-168 13 p. (Communications in Computer and Information Science, Vol. 723).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  23. Published

    Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty

    van Engelen, A., Niessen, W. J., Klein, S., Groen, H. C., Verhagen, H. J. M., Wentzel, J. J., van der Lugt, A. & de Bruijne, Marleen, 2014, In: PLoS ONE. 9, 4, 14 p., e94840.

    Research output: Contribution to journalJournal articleResearchpeer-review

  24. Published

    Multi-center MRI carotid plaque component segmentation using feature normalization and transfer learning

    van Engelen, A., van Dijk, A. C., Truijman, M. T. B., van't Klooster, R., van Opbroek, A., van der Lugt, A., Niessen, W. J., Kooi, M. E. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 6, p. 1294-1305 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  25. Published

    Automated segmentation of atherosclerotic histology based on pattern classification

    van Engelen, A., Niessen, W. J., Klein, S., Groen, H. C., van Gaalen, K., Verhagen, H. J., Wentzel, J. J., van der Lugt, A. & de Bruijne, Marleen, 2013, In: Journal of Pathology Informatics. 4, 7 p., 3.

    Research output: Contribution to journalJournal articleResearchpeer-review

  26. Published

    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 conferenceConference abstract for conferenceResearch

  27. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  28. Published

    Three-dimensional carotid ultrasound plaque texture predicts vascular events

    van Engelen, A., Wannarong, T., Parraga, G., Niessen, W. J., Fenster, A., Spence, J. D. & de Bruijne, Marleen, 2014, In: Stroke. 45, p. 2695-2701 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  29. Published

    Fully automated measurement of radiological angles in hip dysplasia using CT images

    de Raedt, S., de Bruijne, Marleen, Mechlenburg, I., Stilling, M., Rømer, L. & Søballe, K., 2012. 1 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  30. Published

    Automated measurement of diagnostic angles for hip dysplasia

    de Raedt, S., Mechlenburg, I. B., Stilling, M., Mikkelsen, L. R., Søballe, K. & de Bruijne, Marleen, 2013, Medical Imaging 2013: Computer-Aided Diagnosis. Novak, C. L. & Aylward, S. (eds.). SPIE - International Society for Optical Engineering, 10 p. 867009. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 8670).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  31. A novel computer-based quantitative measurement of vertebral deformity in postmenopausal women: Implications for diagnosis and monitoring

    de Bruijne, Marleen, Pettersen, P. C., Lund, M. T., Alexandersen, P., Tankó, L. B., Nielsen, M. & Christiansen, C., 2006, Abstracts of the 28th Annual Meeting of the American Society for Bone and Mineral Research. ASMBR

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

  32. Published

    Editorial for the MEDIA MICCAI special issue 2021

    de Bruijne, Marleen, Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C., Jan 2023, In: Medical Image Analysis. 83, 1 p., 102695.

    Research output: Contribution to journalEditorialResearch

  33. Published

    Vertebral Fracture Classification

    de Bruijne, Marleen, Pettersen, P. C., Tankó, L. B. & Nielsen, Mads, 2007, Medical Imaging 2007: Image Processing, 18-20 February, 2007, San Diego, California, USA. Pluim, J. P. W. & Reinhardt, J. M. (eds.). SPIE, 10 p. (Proceedings of SPIE; No. 6512).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  34. Published

    Quantitative image analysis using statistical models

    de Bruijne, Marleen, 2007, International workshop on image analysis in the life sciences: Theory and applications. Johannes Kepler Universität, Linz (Austria), february 28 - March 2, 2007. p. 10 1 p.

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsCommissioned

  35. Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images

    de Bruijne, Marleen, van Ginneken, B., Bartels, L. W., van der Laan, M. J., Blankensteijn, J. D., Niessen, W. J. & Viergever, M. A., 2003, Medical Image Computing and Computer-Assisted Intervention - MICCAI. <Forlag uden navn>, p. 538-545 (Lecture notes in computer science, Vol. 2879/2003).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  36. 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 proceedingArticle in proceedingsResearchpeer-review

  37. Vertebral fracture quantification

    de Bruijne, Marleen, Lund, M. T., Pettersen, P. & Nielsen, M., 2006, Patent No. WO/2006/087190

    Research output: Patent

  38. Published

    Active shape model based segmentation of abdominal aortic aneurysms in CTA images

    de Bruijne, Marleen, van Ginneken, B., Niessen, W., Maintz, J. & Viergever, M., 2002, MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3. Vol. 4684. p. 463-474

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  39. Published

    Semi-automatic aortic endograft localisation for post-operative evaluation of endovascular aneurysm treatment

    de Bruijne, Marleen, Niessen, W., Maintz, J. & Viergever, M., 2001, MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3. Vol. 2. p. 395-406

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  40. Published

    Supervised shape analysis for risk assessment in osteoporosis

    de Bruijne, Marleen & Pettersen, P., 2008, Biomedical Imaging: From Nano to Macro, 2008 IEEE international Symposium on Biomedical Imaging. IEEE Communications Society, Vol. 1-4. p. 1581-1584 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  41. 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 proceedingArticle in proceedingsResearchpeer-review

  42. Model-based segmentation of abdominal aortic aneurysms in CTA images

    de Bruijne, Marleen, van Ginneken, B., Niessen, W. J., Loog, M. & Viergever, M. A., 2003, Proceedings of SPIE. p. 1560-1571 (Medical Imaging 2003: Image Processing, Vol. 5032).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  43. Published

    Spinal image processing method, involves segmenting image of two vertebrae to obtain data representative of shape and size of vertebrae, and comparing shape and size with predicted unfractured shape and size of vertebrae

    de Bruijne, Marleen, Lund, M., Nielsen, Mads & Pettersen, P., 2006, IPC No. G06T-007/00, Patent No. WO2006087190-A1, 24 Aug 2006, Priority date 16 Feb 2005, Priority No. GB003236

    Research output: Patent

  44. A method of deriving a quantitative measure of a degree of calcification of an aorta

    de Bruijne, Marleen, Nielsen, M., Christiansen, C., Conrad-Hansen, L. A. & Lauze, F. B., 2006, Patent No. WO/2006/128729

    Research output: Patent

  45. Published

    Quantitative vertebral morphometry using neighbor-conditional shape models

    de Bruijne, Marleen, Lund, M. T., Tankó, L. B., Pettersen, P. & Nielsen, Mads, 2007, In: Medical Image Analysis. 11, 5, p. 503-512

    Research output: Contribution to journalJournal articleResearchpeer-review

  46. Shape particle guided tissue classification

    de Bruijne, Marleen, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06). IEEE Computer Society Press, p. 64

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  47. Published

    Machine learning approaches in medical image analysis: from detection to diagnosis

    de Bruijne, Marleen, 2016, In: Medical Image Analysis. 33, p. 94-97 4 p.

    Research output: Contribution to journalEditorialResearchpeer-review

  48. Image segmentation by shape particle filtering

    de Bruijne, Marleen & Nielsen, M., 2004, Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on. IEEE Signal Processing Society, Vol. 3. p. 722- 725

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  49. Shape Particle Filtering for Image Segmentation

    de Bruijne, Marleen & Nielsen, M., 2004, Medical Image Computing and Computer-Assisted Intervention – MICCAI: 7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I. <Forlag uden navn>, p. 168-175 (Lecture notes in computer science, Vol. 3216/2004).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  50. Published

    Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging

    de Bruijne, Marleen, 2021, Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer, p. 1 1 p.

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearch

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