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. 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

  4. 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

  5. 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

  6. 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

  7. 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. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer Verlag, 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

  8. 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

  9. Genetic variation underlying cognition and its relation with neurological outcomes and brain imaging

    Knol, M. J., Heshmatollah, A., Cremers, L. G. M., Ikram, M. K., Uitterlinden, A. G., van Duijn, C. M., Niessen, W. J., Vernooij, M. W., Ikram, M. A. & Adams, H. H. H., 2019, In : Aging. 11, 5, p. 1440-1456

    Research output: Contribution to journalArticleScientificpeer-review

  10. Groupwise multichannel image registration

    Guyader, J. M., Huizinga, W., Fortunati, V., Poot, D. H. J., Veenland, J. F., Paulides, M. M., Niessen, W. J. & Klein, S., 2019, In : IEEE Journal of Biomedical and Health Informatics. 23, 3, p. 1171-1180 8373696.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Hydranet: Data Augmentation for Regression Neural Networks

    Dubost, F., Bortsova, G., Adams, H., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, M., 2019, (In preparation) In : ArXiv.org.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Multiple-correlation similarity for block-matching based fast CT to ultrasound registration in liver interventions

    Banerjee, J., Sun, Y., Klink, C., Gahrmann, R., Niessen, W. J., Moelker, A. & van Walsum, T., 2019, In : Medical Image Analysis. 53, p. 132-141

    Research output: Contribution to journalArticleScientificpeer-review

  13. 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

  14. 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

  15. 2018
  16. 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

  17. 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

  18. 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

  19. Averaged stochastic optimization for medical image registration based on variance reduction

    Sun, W., Poot, D. H. J., Yang, X., Niessen, W. J. & Klein, S., 1 Jan 2018, Biomedical Image Registration - 8th International Workshop, WBIR 2018, Proceedings. Klein, S., Sommer, S., Durrleman, S. & Staring, M. (eds.). Springer Verlag, Vol. 10883 LNCS. p. 69-79 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10883 LNCS).

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

  20. White-matter microstructure and hearing acuity in older adults: a population-based cross-sectional DTI study

    Rigters, S. C., Cremers, L. G. M., Ikram, M. A., van der Schroeff, M. P., De Groot, M., Roshchupkin, G. V., Niessen, W. J. N., Baatenburg de Jong, R. J., Goedegebure, A. & Vernooij, M. W., 1 Jan 2018, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 61, p. 124-131 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  21. A spatio-temporal reference model of the aging brain

    huizinga, W., Poot, D., Vernooij, M. W., Roshchupkin, G. V., bron, E. E., Ikram, M. A., Rueckert, D., Niessen, W. & Klein, S., 2018, In : NeuroImage. 169, p. 11-22

    Research output: Contribution to journalArticleScientificpeer-review

  22. Added value of multiphase CTA imaging for thrombus perviousness assessment

    Santos, E. M. M., D’Esterre, C. D., Treurniet, K. M., Niessen, W. J., Abou Najm, M., Goyal, M., Demchuk, A. M., Majoie, C. B. L. M., Menon, B. K. & Marquering, H. A., 2018, In : Neuroradiology: a journal devoted to neuroimaging and interventional neuroradiology. 60, 1, p. 71-79

    Research output: Contribution to journalArticleScientificpeer-review

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