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. Model-based segmentation of vascular images

    de Bruijne, Marleen, 2003, Utrecht University, The Netherlands.

    Research output: Book/ReportPh.D. thesisResearch

  33. Submitted

    Supervised shape learning for fracture prediction

    de Bruijne, Marleen, Nielsen, Mads & Pettersen, P., 2008, (Submitted) 10 Apr 2008

    Research output: Patent

  34. A pattern classification approach to aorta calcium scoring in radiographs

    de Bruijne, Marleen, 2005, Computer Vision for Biomedical Image Applications: ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends. <Forlag uden navn>, p. 170-177 (Lecture notes in computer science, Vol. 3765/2005).

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

  35. Localization and segmentation of aortic endografts using marker detection

    de Bruijne, Marleen, Niessen, W. J., Maintz, J. B. A. & Viergever, M. A., 2003, In: IEEE Transactions on Medical Imaging. 22, 4, p. 473- 482

    Research output: Contribution to journalJournal articleResearchpeer-review

  36. Published

    Spine Shape Predicts Vertebral Fractures in Postmenopausal Women

    de Bruijne, Marleen, Pettersen, P. C., A. Ghosh, M. G. Sorensen & Nielsen, Mads, 2008, In: Journal of Bone and Mineral Research. Supl. S, p. S37 1 p.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  37. Interactive segmentation of abdominal aortic aneurysms in CTA images

    de Bruijne, Marleen, van Ginneken, B., Viergever, M. A. & Niessen, W. J., 2004, In: Medical Image Analysis. 8, 2, p. 127-138

    Research output: Contribution to journalJournal articleResearchpeer-review

  38. Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images

    de Bruijne, Marleen, van Ginneken, B., Viergever, M. A. & Niessen, W. J., 2003, Information Processing in Medical Imaging: 18th International Conference, IPMI 2003. Ambleside, UK, July 20- 25, 2003. Proceedings. <Forlag uden navn>, p. 136-147 (Lecture notes in computer science, Vol. 2732/2003).

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

  39. Published

    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 proceedingArticle in proceedingsResearch

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. Vertebral fracture quantification

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

    Research output: Patent

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. Published

    APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network

    Zhang, C., Dubost, F., de Bruijne, Marleen, Klein, S. & Poot, D. H. J., 1 Jan 2019, Machine Learning for Medical Image Reconstruction : Second International Workshop, MLMIR 2019 Held in Conjunction with MICCAI 2019 Shenzhen, China, October 17, 2019, Proceedings. Knoll, F., Maier, A., Rueckert, D. & Ye, J. C. (eds.). Springer VS, p. 36-46 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11905 LNCS).

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

  60. Published

    Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation

    Zabihi, M., Tangwiriyasakul, C., Ingala, S., Lorenzini, L., Camarasa, R., Barkhof, F., de Bruijne, Marleen, Cardoso, M. J. & Sudre, C. H., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer, p. 325-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14349 LNCS).

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

  61. Published

    Visual assessment of early emphysema and interstitial abnormalities on CT is useful in lung cancer risk analysis

    Wille, M. M. W., Thomsen, L. H., Petersen, Jens, de Bruijne, Marleen, Dirksen, A., Pedersen, J. H. & Shaker, S. B., 2016, In: European Radiology. 26, 2, p. 487-494 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  62. Published

    Lung MRI and impairment of diaphragmatic function in Pompe disease

    Wens, S. C. A., Ciet, P., Perez-Rovira, A., Logie, K., Salamon, E., Wielopolski, P., de Bruijne, Marleen, Kruijshaar, M. E., Tiddens, H. A. W. M., van Doorn, P. A. & van der Ploeg, A. T., 2015, In: BMC Pulmonary Medicine. 15, 54.

    Research output: Contribution to journalJournal articleResearchpeer-review

  63. Cine-MRI as a New Tool to Evaluate Diaphragmatic Dysfunction in Pompe Disease

    Wens, S. C., Ciet, P., Perez-Rovira, A., Logie, K., Salamon, E., Wielopolski, P., de Bruijne, Marleen, Kruijshaar, M. E., Tiddens, H. W., van der Beek, N. A. M. E., van Doorn, P. A. & van der Ploeg, A. T., 2015, In: Neuromuscular Disorders. 2, s1, p. S57

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  64. Published

    Statistical tracking of tree-like tubular structures with efficient branching detection in 3D medical image data

    Wang, X., Heimann, T., Lo, P., Sumkauskaite, M., Puderbach, M., de Bruijne, Marleen, Meinzer, H. P. & Wegner, I., 2012, In: Physics in Medicine and Biology. 57, 16, p. 5325-5342 18 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  65. Published

    Gray Matter Age Prediction as a Biomarker for Risk of Dementia

    Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. J. & Roshchupkin, G. V., 15 Oct 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 21213-21218

    Research output: Contribution to journalJournal articleResearchpeer-review

  66. Published

    Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study

    Wang, J., Knol, M., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M., Adams, H., Ikram, M. A., Niessen, W. & Roshchupkin, G., 2019, In: bioRxiv. 17 p., 518506.

    Research output: Contribution to journalJournal articleResearch

  67. Published

    A computer-aided diagnosis system for the early and differential diagnosis of neurodegenerative disease

    Vrooman, H. A., Jasperse, M. M. S., Koek, M., Achterberg, F. V. D. L. A. H. C., de Bruijne, Marleen, Lugt, A. V. D. & Niessen, W. J., 2011, ECR Conference Proceedings 2011.

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

  68. Published

    Intracranial arteriosclerosis is related to cerebral small vessel disease: a prospective cohort study

    Vinke, E. J., Yilmaz, P., van der Toorn, J. E., Fakhry, R., Frenzen, K., Dubost, F., Licher, S., de Bruijne, Marleen, Kavousi, M., Ikram, M. A., Vernooij, M. W. & Bos, D., 2021, In: Neurobiology of Aging. 105, p. 16-24

    Research output: Contribution to journalJournal articleResearchpeer-review

  69. Published

    Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia

    for the Alzheimer’s Disease Neuroimaging Initiative, F. A. D. N. I., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019,Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer, p. 169-180 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11492 LNCS).

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

  70. Published

    Representation learning for cross-modality classification

    Tulder, G. V. & de Bruijne, Marleen, 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (eds.). Springer, p. 126-136 11 p. (Lecture notes in computer science, Vol. 10081).

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

  71. Published

    High shear stress relates to intraplaque haemorrhage in asymptomatic carotid plaques

    Tuenter, A., Selwaness, M., Arias Lorza, A., Schuurbiers, J. C. H., Speelman, L., Cibis, M., van der Lugt, A., de Bruijne, Marleen, van der Steen, A. F. W., Franco, O. H., Vernooij, M. W. & Wentzel, J. J., Aug 2016, In: Atherosclerosis. 251, p. 348–354 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  72. Published

    The development of bronchiectasis on chest computed tomography in children with cystic fibrosis: can pre-stages be identified?

    Tepper, L. A., Caudri, D., Rovira, A. P., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, In: European Radiology. 26, 12, p. 4563-4569 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  73. Published

    The history of bronchiectasis on CT in cystic fibrosis

    Tepper, L. A., de Bruijne, Marleen, Caudri, D., Perez-Rovira, A. & Tiddens, H., 2013, In: Pediatric Pulmonology. 48, S36, p. 354 1 p., 408.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  74. Published

    Efficient nonrigid registration using ranked order statistics

    Tennakoon, R. B., Bab-Hadiashar, A., de Bruijne, Marleen & Cao, Z., 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI). IEEE, p. 496-499 4 p. (International Symposium on Biomedical Imaging. Proceedings).

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

  75. Published

    Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions

    Tennakoon, R., Gostar, A. K., Hoseinnezhad, R., de Bruijne, Marleen & Bab-Hadiashar, A., 2019, Computer Vision - ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers. Li, H., Jawahar, C. V., Mori, G. & Schindler, K. (eds.). Springer, p. 590-604 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11363 LNCS).

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

  76. Published

    Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem

    Tennakoon, R., Bortsova, G., Orting, S., Gostar, A. K., Wille, M. M. W., Saghir, Zaigham, Hoseinnezhad, R., de Bruijne, Marleen & Bab-Hadiashar, A., 2020, In: IEEE Transactions on Medical Imaging. 39, 4, p. 854-865

    Research output: Contribution to journalJournal articleResearchpeer-review

  77. Published

    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 journalJournal articleResearchpeer-review

  78. Published

    Learning COPD Sensitive Filters in Pulmonary CT

    Sørensen, L. E. B. L., Lo, P. C. P., Ashraf, H., Sporring, Jon, Nielsen, Mads & de Bruijne, Marleen, 2009, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009. 7 p.

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

  79. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  80. Published

    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 journalJournal articleResearchpeer-review

  81. Published

    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 proceedingArticle in proceedingsResearch

  82. Published

    Texture Based Emphysema Quantification in Lung CT

    Sørensen, L. E. B. L., Shaker, S. B. & de Bruijne, Marleen, 2008, The First International Workshop on Pulmonary Image Analysis: MICCAI 2008 Workshop Proceedings. Brown, M., de Bruijne, M., van Ginneken, B., Kiraly, A., Kuhnigk, J-M., Lorenz, C., Mori, K. & Reinhardt, J. (eds.). Lulu.com, p. 5-14 10 p.

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

  83. Published

    Texture Classification in Lung CT Using Local Binary Patterns

    Sørensen, L. E. B. L., Shaker, S. B. & de Bruijne, Marleen, 2008, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I. Metaxas, D., Axel, L., Fichtinger, G. & Szekely, G. (eds.). Springer, p. 934-941 8 p. (Lecture notes in computer science; No. 5241).

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

  84. Published

    Dissimilarity Representations in Lung Parenchyma Classification

    Sørensen, L. E. B. L. & de Bruijne, Marleen, 2009, Medical Imaging 2009: Computer-Aided Diagnosis. Karssemeijer, N. & Giger, M. L. (eds.). SPIE - International Society for Optical Engineering, 12 p. (Proceedings of SPIE; No. 7260).

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

  85. Published

    Texture-based analysis of COPD: a data-driven approach

    Sørensen, L., Nielsen, Mads, Lo, P. C. P., Ashraf, H., Pedersen, J. J. H. & de Bruijne, Marleen, 2012, In: I E E E Transactions on Medical Imaging. 31, 1, p. 70-78 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  86. Published

    Texture classification in pulmonary CT

    Sørensen, L., J. Gangeh, M., B. Shaker, S. & de Bruijne, Marleen, 2011, Lung imaging and computer-aided diagnosis. El-Baz, A. & Suri, J. S. . (eds.). CRC Press, p. 343–367 25 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  87. Published

    Image dissimilarity-based quantification of lung disease from CT

    Sørensen, L., Loog, M., Lo, P. C. P., Ashraf, H., Dirksen, A., P. W. Duin, R. & de Bruijne, Marleen, 2010, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. Jiang, T., Navab, N., Pluim, J. P. W. & Viergever, M. A. (eds.). Springer, Vol. Part I. p. 37-44 8 p. (Lecture notes in computer science; No. 6361).

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

  88. Published

    Dissimilarity-based classification of anatomical tree structures

    Sørensen, L., Lo, P. C. P., Dirksen, A., Petersen, Jens & 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. 475-485 11 p. (Lecture notes in computer science, Vol. 6801).

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

  89. Published

    Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial

    Sørensen, L., Nielsen, Mads, Petersen, Jens, Pedersen, J. H., Dirksen, A. & de Bruijne, Marleen, 2020, In: American Journal of Roentgenology. 214, 6, p. 1269-1279

    Research output: Contribution to journalJournal articleResearchpeer-review

  90. Published

    Dissimilarity-based multiple instance learning

    Sørensen, L., Loog, M., Tax, D. M. J., Lee, W., de Bruijne, Marleen & Duin, R. P. W., 2010, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR&SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings. Hancock, E. R., Wilson, R. C., Windeatt, T., Ulusoy, I. & Escolano, F. (eds.). Springer, p. 129-138 10 p. (Lecture notes in computer science; No. 6218).

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

  91. Published

    Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021

    ALFA study, A. S., 2024, In: Medical Image Analysis. 91, 23 p., 103029.

    Research output: Contribution to journalJournal articleResearchpeer-review

  92. Published

    Method of analyzing image for assessing condition of organ e.g. lung of patient represented in image, involves providing quantitative measure of extent of condition in image based on number of identified inspection regions

    Stick, S. M., Rosenow, T., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, IPC No. G06T-007/00, Patent No. WO2016183609-A1, 24 Nov 2016, Priority date 20 May 2015, Priority No. AU901841

    Research output: Patent

  93. Published

    Bicycle Chain Shape Models

    Sommer, Stefan Horst, Tatu, A. J., Chen, C., Jørgensen, D., de Bruijne, Marleen, Loog, M., Nielsen, Mads & Lauze, Francois Bernard, 2009, Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on Computer Vision and Pattern Recognition.. IEEE, p. 157-163 7 p.

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

  94. Published

    The relationship between NT proBNP and CT lung density in long term smokers

    Shaker, S. B., Ashraf, H., Rasmussen, T., Lo, P. C. P., de Bruijne, Marleen, Dirksen, A. & Pedersen, J. H., 2012, In: European Respiratory Journal. 40, Supplement 56, p. 103s 1 p., P652.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  95. Published

    Factors influencing the decline in lung density in a Danish lung cancer screening cohort

    Shaker, S. B., Dirksen, A., Lo, P. C. P., Skovgaard, Lene Theil, de Bruijne, Marleen & Pedersen, J. H., 2012, In: European Respiratory Journal. 40, 5, p. 1142-1148 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  96. Published

    Decline in lung density is accelerated in active smokers

    Shaker, S. B., Dirksen, A., Lo, P. C. P., Skovgaard, Lene Theil, de Bruijne, Marleen & Pedersen, J. J. H., 2011. 1 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  97. Published

    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 conferenceConference abstract for conferenceResearchpeer-review

  98. Published

    Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses

    Selvan, Raghav, Petersen, Jens, Pedersen, J. H. & de Bruijne, Marleen, 18 Oct 2019, In: Medical Physics. 46, 10, p. 4431-4440

    Research output: Contribution to journalJournal articleResearchpeer-review

  99. Published

    Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks

    Selvan, Raghav, Kipf, T., Welling, M., Juarez, A. G., Pedersen, J. H., Petersen, Jens & de Bruijne, Marleen, 2020, In: Medical Image Analysis. 64, 12 p., 101751.

    Research output: Contribution to journalJournal articleResearchpeer-review

  100. Published

    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 proceedingArticle in proceedingsResearchpeer-review

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