Marleen de Bruijne

Marleen de Bruijne

Professor

ORCID: 0000-0002-6328-902X

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  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 proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 journal › Journal article › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research

  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 journal › Conference abstract in journal › Research › peer-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 journal › Journal article › Research › peer-review

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