1. 2019
  2. Orientation Prior and Consistent Model Selection Increase Sensitivity of Tract-Based Spatial Statistics in Crossing-Fiber Regions

    Arkesteijn, J., Poot, D., Ikram, M. A., Niessen, W., van Vliet, L., Vernooij, M. W. & Vos, F., 2019, In : IEEE Transactions on Medical Imaging. 39, 2, p. 308-319

    Research output: Contribution to journalArticleScientificpeer-review

  3. Patterns of functional connectivity in an aging population: The Rotterdam Study

    Zonneveld, H. I., Pruim, R. HR., Bos, D., Vrooman, H. A., Muetzel, R. L., Hofman, A., Rombouts, S. ARB., van der Lugt, A., Niessen, W. J. & More Authors, 2019, In : NeuroImage. 189, p. 432-444

    Research output: Contribution to journalArticleScientificpeer-review

  4. Predicting brain age as a biomarker for risk of dementia

    Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, M., Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. & Roshchupkin, G. V., 2019, In : Alzheimer Disease and Associated Disorders. 15, 7, p. P537-P538

    Research output: Contribution to journalMeeting AbstractScientific

  5. Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm

    van der Voort, S. R., Incekara, F., Wijnenga, M. M. J., Kapas, G., Gardeniers, M., Schouten, J. W., French, P. J., Niessen, W. J., Klein, S. & More Authors, 2019, In : Clinical cancer research : an official journal of the American Association for Cancer Research. 25, 24, p. 7455-7462

    Research output: Contribution to journalArticleScientificpeer-review

  6. Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI

    Vos, M., Starmans, M. P. A., Timbergen, M. J. M., van der Voort, S. R., Padmos, G. A., Kessels, W., Niessen, W. J., van Leenders, G. J. L. H. & Verhoef, C., 2019, In : British Journal of Surgery. 106, 13, p. 1800-1809

    Research output: Contribution to journalArticleScientificpeer-review

  7. Spatially regularized shape analysis of the hippocampus using P-spline based shape regression

    Achterberg, H. C., de Rooi, J., Vernooij, M. W., Arfan Ikram, M., Niessen, W., Eilers, P. & de Bruijne, M., 2019, In : IEEE Journal of Biomedical and Health Informatics. 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study

    Achterberg, H. C., Sørensen, L., Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, M. & de Bruijne, M., 2019, In : Neurobiology of Aging. 81, p. 58-66

    Research output: Contribution to journalArticleScientificpeer-review

  9. 2018
  10. Trajectories of imaging markers in brain aging: the Rotterdam Study

    Vinke, E. J., de Groot, M., Venkatraghavan, V., Klein, S., Niessen, W. J., Ikram, M. A. & Vernooij, M. W., 1 Nov 2018, In : Neurobiology of Aging. 71, p. 32-40 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Ensemble landmarking of 3D facial surface scans

    De Jong, M. A., Hysi, P., Spector, T., Niessen, W., Koudstaal, M. J., Wolvius, E. B., Kayser, M. & Böhringer, S., 8 Jan 2018, In : Scientific Reports. 8, 1, 12.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Age-dependent association of thyroid function with brain morphology and microstructural organization: Evidence from brain imaging

    Chaker, L., Cremers, L. G. M., Korevaar, T. I. M., De Groot, M., Dehghan, A., Franco, O. H., Niessen, W. J., Ikram, M. A., Peeters, R. P. & Vernooij, M. W., 1 Jan 2018, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 61, p. 44-51 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

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