Marleen de Bruijne

Marleen de Bruijne

Professor


  1. 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, Dorent, R., Egger, J., Ellis, D. G., Engelhardt, S., Ganz, Melanie, Ghatwary, N., Girard, G., Godau, P., Gupta, A., Hansen, L., Harada, K., Heinrich, M., Heller, N., Hering, A., Huaulmé, A., Jannin, P., Kavur, A. E., Kodym, O., Kozubek, M., Li, J., Li, H., Ma, J., Martín-Isla, C., Menze, B., Noble, A., Oreiller, V., Padoy, N., Pati, S., Payette, K., Rädsch, T., Rafael-Patiño, J., Bawa, V. S., Speidel, S., Sudre, C. H., Wijnen, K. V., Wagner, M., Wei, D., Yamlahi, A., Yap, M. H., Yuan, C., Zenk, M., Zia, A., Zimmerer, D., Aydogan, D. B., Bhattarai, B., Bloch, L., Brüngel, R., Cho, J., Choi, C., Dou, Q., Ezhov, I., Friedrich, C. M., Fuller, C., Gaire, R. R., Galdran, A., Faura, Á. G., Grammatikopoulou, M., Hong, S., Jahanifar, M., Jang, I., Kadkhodamohammadi, A., Kang, I., Kofler, F., Kondo, S., Kuijf, H., Li, M., Luu, M. H., Martinčič, T., Morais, P., Naser, M. A., Oliveira, B., Owen, D., Pang, S., Park, J., Park, S., Płotka, S., Puybareau, E., Rajpoot, N., Ryu, K., Saeed, N., Shephard, A., Shi, P., Štepec, D., Subedi, R., Tochon, G., Torres, H. R., Urien, H., Vilaça, J. L., Wahid, K. A., Wang, H., Wang, J., Wang, L., Wang, X., Wiestler, B., Wodzinski, M., Xia, F., Xie, J., Xiong, Z., Yang, S., Yang, Y., Zhao, Z., Maier-Hein, K., Jäger, P. F., Kopp-Schneider, A. & Maier-Hein, L., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, p. 19955-19966

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

  2. 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

  3. 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

  4. 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

  5. Published

    Weight preserving image registration for monitoring disease progression in lung CT.

    Gorbunova, V., Lo, P. C. P., Haseem, A., Dirksen, A., Nielsen, Mads & de Bruijne, Marleen, 2008, Mecical Image Computing and Computer-Assisted Intervention - MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, proceedings, Part II. Metaxas, D., Axel, L., Fichtinger, G. & Szekely, G. (eds.). Springer, p. 863-871 8 p. (Lecture notes in computer science; No. 5242).

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

  6. 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 journalJournal articleResearchpeer-review

  7. Published

    Voxel classification based airway tree segmentation

    Lo, P. C. P. & de Bruijne, Marleen, 2008, Medical Imaging 2008: Image Processing, San Diego, Calif., USA, February 17, 2008, Conference proceedings. Reinhardt, J. M. & Pluim, J. P. W. (eds.). SPIE - International Society for Optical Engineering, p. Article 69141K (Proceedings of the SPIE; No. 6914).

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

  8. Published

    Voxel Classification Based Vessel-guided Airway Segmentation

    Lo, P. C. P., Sporring, Jon, Ashraf, H., Pedersen, J. H. J. & de Bruijne, Marleen, 2008, Proceedings of the Danish Conference on Pattern Recognition and Image Analysis: Organised by Danish Society for Automatic Pattern Recognition (Dansk Selskab for automatisk genkendelse af mønstre), Departmen of Computer Science, University of Copenhagen, Thursday 21 August 2008. Olsen, S. I. (ed.). Museum Tusculanum, p. 8-9 (Datalogisk Institut. Københavns Universitet. Technical Reports; No. 08-10).

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

  9. Published

    Volumetric ultra low dose expiratory computed tomography scans could be sufficient to monitor CF lung disease

    Loeve, M., Lequin, M. H., de Bruijne, Marleen, Hartmann, I., Hop, W. C. & Tiddens, H. A., 2008, In: Journal of Cystic Fibrosis. S2, p. S59 1 p.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  10. 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

  11. Published

    Vessel-guided airway tree segmentation: a voxel classification approach

    Lo, P. C. P., Sporring, Jon, Ashraf, H., Pedersen, J. J. H. & de Bruijne, Marleen, 2010, In: Medical Image Analysis. 14, 4, p. 527-538 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

    Vessel-guided airway segmentation based on voxel classification

    Lo, P. C. P., Sporring, Jon, Ashraf, H., Holst Pedersen, J. J. & de Bruijne, Marleen, 2008, The first International Workshop on Pulmonary Image Analysis: New York, September 6, 2008. Brown, M., de Bruijne, M., van Ginneken, B., Kiraly, A., Kuhnigk, J-M., Lorenz, C., Mori, K. & Reinhardt, J. (eds.). Lulu.com, p. 113-122

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

  13. Published

    Vessel tree extraction using locally optimal paths

    Lo, P. C. P., van Ginneken, B. & de Bruijne, Marleen, 2010, 2010 IEEE International Symposium on Biomedical Imaging: from nano to Macro. IEEE, p. 680-683

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

  14. Published

    Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal Women

    Lillholm, Martin, Ghosh, A., Pettersen, P. C., de Bruijne, Marleen, Dam, E. B., Karsdal, M. A., Christiansen, C., Genant, H. K. & Nielsen, Mads, 2011, In: Osteoporosis International. 22, 7, p. 2119-2128 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  15. Vertebral fracture quantification

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

    Research output: Patent

  16. Submitted

    Vertebral fracture prediction

    Pettersen, P., de Bruijne, Marleen & Tanko, L., 2007, (Submitted) 1 Mar 2007

    Research output: Patent

  17. Published

    Vertebral Fracture Prediction

    Pettersen, P., de Bruijne, Marleen, Christiansen, C. & Tanko, L. B., 2008, IPC No. G06F 19/00, Patent No. WO/2008/116918, 2 Oct 2008

    Research output: Patent

  18. 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

  19. 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

  20. Published

    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 proceedingArticle in proceedingsResearchpeer-review

  21. Published

    Tribute Workshop for Peter Johansen

    Nielsen, Mads (ed.), de Bruijne, Marleen (ed.), Jørgensen, Camilla Holm (ed.), Olsen, Søren Ingvor (ed.), Steenstrup Pedersen, Kim (ed.) & Sporring, Jon (ed.), 2008, Berlin: Springer. 151 p. (Journal of Mathematical Imaging and Vision; No. 31(2-3)p.119-269).

    Research output: Book/ReportAnthologyResearch

  22. Published

    Tree-space statistics and approximations for large-scale analysis of anatomical trees

    Feragen, A., Owen, M., Petersen, Jens, Wille, M. M. W., Thomsen, L. H., Dirksen, A. & 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. 74-85 12 p. (Lecture notes in computer science, Vol. 7917).

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

  23. 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

  24. Published

    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 - 1496

    Research output: Contribution to journalJournal articleResearchpeer-review

  25. 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

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