1. 2020
  2. qTICI: Quantitative assessment of brain tissue reperfusion on digital subtraction angiograms of acute ischemic stroke patients

    on behalf of the MR CLEAN Registry Investigators, 2020, In : International journal of stroke.

    Research output: Contribution to journalArticleAcademicpeer-review

  3. 2019
  4. Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke

    Hilbert, A., Ramos, L. A., van Os, H. J. A., Olabarriaga, S. D., Tolhuisen, M. L., Wermer, M. J. H., Barros, R. S., van der Schaaf, I., Dippel, D., Roos, Y. B. W. E. M., van Zwam, W. H., Yoo, A. J., Emmer, B. J., Lycklama à Nijeholt, G. J., Zwinderman, A. H., Strijkers, G. J., Majoie, C. B. L. M. & Marquering, H. A., 2019, In : Computers in biology and medicine. 115, 103516.

    Research output: Contribution to journalArticleAcademicpeer-review

  5. 2018
  6. Predicting outcome of endovascular treatment for acute ischemic stroke: Potential value of machine learning algorithms

    van Os, H. J. A., Ramos, L. A., Hilbert, A., van Leeuwen, M., van Walderveen, M. A. A., Kruyt, N. D., Dippel, D. W. J., Steyerberg, E. W., van der Schaaf, I. C., Lingsma, H. F., Schonewille, W. J., Majoie, C. B. L. M., Olabarriaga, S. D., Zwinderman, K. H., Venema, E., Marquering, H. A. & Wermer, M. J. H., 2018, In : Frontiers in neurology. 9, SEP, 784.

    Research output: Contribution to journalArticleAcademicpeer-review

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