1. 2019
  2. 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI

    Dubost, F., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Niessen, W., Vernooij, M., de Bruijne, M. & de Bruijne, M., 2019, In : Medical Image Analysis. 51, p. 89-100

    Research output: Contribution to journalArticleScientificpeer-review

  3. A Multichannel Cross-Modal Fusion Framework for Electron Tomography

    Guo, Y., Aveyard, R. & Rieger, B., 2019, In : IEEE Transactions on Image Processing. 28, 9, p. 4206-4218 8673880.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease

    Gollifer, R. M., Menys, A., Plumb, A., Mengoudi, K., Puylaert, C. A. J., Tielbeek, J. A. W., Ponsioen, C. Y., Vos, F. M., Stoker, J., Taylor, S. A. & Atkinson, D., 2019, (Accepted/In press) In : Clinical Radiology.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networks

    Vigueras-Guillén, J. P., Lemij, H. G., Van Rooij, J., Vermeer, K. A. & Van Vliet, L. J., 2019, Proceeedings of SPIE : Medical Imaging 2019 : Image Processing. Landman, B. A., Angelini, E. D., Angelini, E. D. & Angelini, E. D. (eds.). SPIE, Vol. 10949. 12 p. 1094931

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

  6. Clinical value of cerebrospinal fluid neurofilament light chain in semantic dementia

    Meeter, L. H. H., Steketee, R. M. E., Salkovic, D., Vos, M. E., Grossman, M., McMillan, C. T., Niessen, W. J., Papma, J. M., De Jong, F. J. & More Authors, 2019, In : Journal of Neurology, Neurosurgery and Psychiatry. 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 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. 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. 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

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

    Adal, K., 2019, 111 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  10. 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

  11. 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

Previous 1 2 3 4 5 6 7 8 ...165 Next

ID: 21021