Research group Neuroradiology

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  • 2022

    Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks

    Timmins, K. M., Kamphuis, M. J., Vos, I. N., Velthuis, B. K., Schaaf, I. C. V. D. & Kuijf, H. J., 17 Dec 2022, Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging: 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18–22, 2022, Proceedings. Baxter, J. S. H., Rekik, I., Eagleson, R., Zhou, L., Syeda-Mahmood, T., Wang, H. & Hajij, M. (eds.). 1 ed. Cham: Springer, p. 103-112 10 p. (Lecture Notes in Computer Science; vol. 13755).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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., 2020, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - 2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings. 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 Science and Business Media Deutschland GmbH, p. 32-41 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12443 LNCS).

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

  • 2017

    Evaluating classifiers for atherosclerotic plaque component segmentation in MRI

    van Engelen, A., De Bruijne, M., Schneider, T., van Dijk, A. C., Kooi, M. E., Hendrikse, J., Nederveen, A. J., Niessen, W. J. & 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.). Cham: Springer-Verlag, Vol. 723. p. 156-168 13 p. (Communications in Computer and Information Science; vol. 723).

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

  • 2016

    Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities

    Kuijf, H. J., Moeskops, P., De Vos, B. D., Bouvy, W. H., De Bresser, J., Biessels, G. J., Viergever, M. A. & Vincken, K. L., 2016, Medical Imaging 2016: Image Processing: 1–3 March 2016 San Diego, California, United States . Styner, M. A. & Angelini, E. D. (eds.). SPIE, 978421. (Proceedings of SPIE; vol. 9784)( Progress in biomedical optics and imaging ; vol. 17, no. 39).

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

  • 2011

    Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform

    Kuijf, HJ., de Bresser, JHJM., Biessels, GJ., Viergever, MA. & Vincken, KL., 2011, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. IEEE, p. 758-761 5872516

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