1. 2019
  2. Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics

    Vilor-Tejedor, N., Ikram, M. A., Roshchupkin, G. V., Cáceres, A., Alemany, S., Vernooij, M. W., Niessen, W. J., van Duijn, C. M., Adams, H. H. & More Authors, 2019, In : NeuroInformatics. 17, 4, p. 583-592 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. 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

  4. Mutation stratification of desmoid-type fibromatosis using a radiogenomics approach

    Timbergen, M., Starmans, M. P. A., Vos, M., Padmos, G. A., Grünhagen, D. J., van Leenders, G. J. L. H., Verhoef, C., Niessen, W., Sleijfer, S. & More Authors, 2019, In : European Journal of Surgical Oncology. 44, 2, p. e16

    Research output: Contribution to journalMeeting AbstractScientific

  5. Normative brain volumetry derived from different reference populations: impact on single-subject diagnostic assessment in dementia

    Vinke, E. J., Huizinga, W., Bergtholdt, M., Adams, H. H., Steketee, R. M. E., Papma, J. M., De Jong, F. J., Niessen, W. J., Ikram, M. A. & More Authors, 2019, In : Neurobiology of Aging. 84, p. 9-16

    Research output: Contribution to journalArticleScientificpeer-review

  6. 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. 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 2018
  14. 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

  15. 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

  16. 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

  17. 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, 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

  18. 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

  19. 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

  20. 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

  21. Aortic stiffness and brain integrity in elderly patients with cognitive and functional complaints

    Tap, L., van Opbroek, A., Niessen, W. J., Smits, M. & Mattace-Raso, F. U. S., 2018, In : CLINICAL INTERVENTIONS IN AGING. 13, p. 2161-2167

    Research output: Contribution to journalArticleScientificpeer-review

  22. Automatic normative quantification of brain tissue volume to support the diagnosis of dementia: A clinical evaluation of diagnostic accuracy

    Vernooij, M. W., Jasperse, B., Steketee, R., Koek, M., Vrooman, H., Ikram, M. A., Papma, J., van der Lugt, A., Smits, M. & Niessen, W. J., 2018, In : NeuroImage: Clinical. 20, p. 374-379 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

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