1. 2019
  2. Comparison between dynamic gadoxetate-enhanced MRI and 99m Tc-mebrofenin hepatobiliary scintigraphy with SPECT for quantitative assessment of liver function

    Rassam, F., Zhang, T., Cieslak, K. P., Lavini, C., Stoker, J., Bennink, R. J., van Gulik, T. M., van Vliet, L. J., Runge, J. H. & Vos, F. M., 2019, In : European Radiology. 29, 9, p. 5063-5072

    Research output: Contribution to journalArticleScientificpeer-review

  3. Comparison of MRI activity scoring systems and features for the terminal ileum in patients with Crohn disease

    Puylaert, C. A. J., Nolthenius, C. J. T., Tielbeek, J. A. W., Makanyanga, J. C., Rodriguez-Justo, M., Brosens, L. A. A., Nio, C. Y., Pendsé, D. A. & Vos, F. M., 2019, In : American Journal of Roentgenology. 212, 2, p. W25-W31

    Research output: Contribution to journalArticleScientificpeer-review

  4. Computer-Aided Assessment of Longitudinal Fundus Photos for Screening Diabetic Retinopathy

    Adal, K., 2019, 111 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  5. Confocal Multi-line Scanning Microscope for Efficient 3D Fluorescence Imaging

    van der Graaff, L. & Stallinga, S., 2019, Proceedings Applied Industrial Optics : Spectroscopy, Imaging and Metrology 2019. OSA Publishing, 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  6. Convolutional neural network-based regression for biomarker estimation in corneal endothelium microscopy images

    Vigueras Guillén, J. P., van Rooij, J. G. J., Lemij, H. G., Vermeer, K. & van Vliet, L., 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Penzel, T. (ed.). Piscataway, NJ, USA: IEEE, p. 876-881

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  7. Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification

    Bouts, M. J. R. J., van der Grond, J., Vernooij, M. W., Koini, M., Schouten, T. M., de Vos, F., Feis, R. A., Lechner, A., Niessen, W. J. & More Authors, 2019, In : Human Brain Mapping. 40, 9, p. 2711-2722 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling

    Venkatraghavan, V., Bron, E. E., Niessen, W. J. & Klein, S., 2019, In : NeuroImage. 186, p. 518-532

    Research output: Contribution to journalArticleScientificpeer-review

  9. Enlarged perivascular spaces in brain MRI: Automated quantification in four regions

    Dubost, F., Yilmaz, P., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, M., 2019, In : NeuroImage. 185, p. 534-544

    Research output: Contribution to journalArticleScientificpeer-review

  10. Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia

    Venkatraghavan, V., Dubost, F., Bron, E. E., Niessen, W. J., de Bruijne, M. & Klein, S., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Chung, A. C. S., Gee, J. C., Yushkevich, P. A. & Bao, S. (eds.). Springer, Vol. 11492. p. 169-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11492 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  11. Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings

    Adams, H. H. H., Roshchupkin, G. V., DeCarli, C., Franke, B., Grabe, H. J., Habes, M., Jahanshad, N., Medland, S. E., Niessen, W. & More Authors, 2019, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 286-290 5 p.

    Research output: Contribution to journalArticleScientificpeer-review

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