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  • 2023

    AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography

    Su, R., van der Sluijs, M., Cornelissen, S., van Zwam, W., van der Lugt, A., Niessen, W., Ruijters, D., van Walsum, T. & Dalca, A., 1 Jan 2023, Medical Image Computing and Computer Assisted Intervention: MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). 7 ed. Springer Verlag, Vol. 14226. p. 770-780 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14226 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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  • 2022

    Order Reduction of a Nonlinear Convection-Dominated Model of Heart Valve Tissue Maturation

    Vob, K., Elkhashap, A., Dorschel, L., Werner, M. P., Kucikas, V., Van Zandvoort, M., Schmitz-Rode, T. & Abel, D., 1 Jan 2022, 2022 IEEE Conference on Control Technology and Applications, CCTA 2022. IEEE, p. 919-925 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

  • 2020

    Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation

    Camarasa, R., Bos, D., Hendrikse, J., Nederkoorn, P., Kooi, E., Van Der Lugt, A. & De Bruijne, M., 5 Oct 2020, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis. UNSURE 2020, GRAIL 2020. Sudre, C. H., Fehri, H., Arbel, T., Baumgartner, C. F., Dalca, A., Tanno, R., van Leemput, K., Wells, W. M., Sotiras, A., Papiez, B., Ferrante, E. & Parisot, S. (eds.). Springer, Cham, p. 32-41 10 p. (Lecture Notes in Computer Science, Vol. 12443).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

    Open Access
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