1. 2021
  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, Prasetya, H., Ramos, L. A., Epema, T., Treurniet, K. M., Emmer, B. J., van den Wijngaard, I. R., Zhang, G., Kappelhof, M., Berkhemer, O. A., Yoo, A. J., Roos, Y. B. EW. M., van Oostenbrugge, R. J., Dippel, D. W. J., van Zwam, W. H., van der Lugt, A., de Mol, B. A. JM., Majoie, C. B. LM., Bavel, E. V. & Marquering, H. A., Feb 2021, In: International journal of stroke. 16, 2, p. 207-216 10 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  3. Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?

    Bleijendaal, H., Ramos, L. A., Lopes, R. R., Verstraelen, T. E., Baalman, S. W. E., Oudkerk Pool, M. D., Tjong, F. V. Y., Melgarejo-Meseguer, F. M., Gimeno-Blanes, F. J., Gimeno-Blanes, J. R., Amin, A. S., Winter, M. M., Marquering, H. A., Kok, W. E. M., Zwinderman, A. H., Wilde, A. A. M. & Pinto, Y. M., 1 Jan 2021, In: Heart rhythm. 18, 1, p. 79-87 9 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  4. 2020
  5. Improving quality of stroke care through benchmarking center performance: why focusing on outcomes is not enough

    on behalf of the MR CLEAN Registry Investigators, 1 Dec 2020, In: BMC health services research. 20, 1, 998.

    Research output: Contribution to journalArticleAcademicpeer-review

  6. Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke

    Ramos, L. A., Kappelhof, M., van Os, H. J. A., Chalos, V., van Kranendonk, K., Kruyt, N. D., Roos, Y. B. W. E. M., van der Lugt, A., van Zwam, W. H., van der Schaaf, I. C., Zwinderman, A. H., Strijkers, G. J., van Walderveen, M. A. A., Wermer, M. J. H., Olabarriaga, S. D., Majoie, C. B. L. M. & Marquering, H. A., 15 Oct 2020, In: Frontiers in neurology. 11, 580957.

    Research output: Contribution to journalArticleAcademicpeer-review

  7. A morphology based deep learning model for atrial fibrillation detection using single cycle electrocardiographic samples

    Baalman, S. W. E., Schroevers, F. E., Oakley, A. J., Brouwer, T. F., van der Stuijt, W., Bleijendaal, H., Ramos, L. A., Lopes, R. R., Marquering, H. A., Knops, R. E. & de Groot, J. R., 1 Oct 2020, In: International journal of cardiology. 316, p. 130-136 7 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  8. Interhospital transfer vs. direct presentation of patients with a large vessel occlusion not eligible for IV thrombolysis

    the MR CLEAN Registry Investigators, 1 Jul 2020, In: Journal of neurology. 267, 7, p. 2142-2150 9 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  9. Prediction of Outcome Using Quantified Blood Volume in Aneurysmal SAH

    van der Steen, W. E., Marquering, H. A., Ramos, L. A., van den Berg, R., Coert, B. A., Boers, A. M. M., Vergouwen, M. D. I., Rinkel, G. J. E., Velthuis, B. K., Roos, Y. B. W. E. M., Majoie, C. B. L. M., Vandertop, W. P. & Verbaan, D., 1 Jun 2020, In: AJNR. American journal of neuroradiology. 41, 6, p. 1015-1021 7 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  10. 2019
  11. 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

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