1. 2019
  2. 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

  3. 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

  4. 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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  5. 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

  6. Genetic Determinants of Cortical Structure (Thickness, Surface Area and Volumes) among Disease Free Adults in the CHARGE Consortium

    Niessen, W., 2019, (Accepted/In press) In : bioRxiv.

    Research output: Contribution to journalArticleScientific

  7. Genetic architecture of subcortical brain structures in 38,851 individuals

    Satizabal, C. L., Adams, H. H. H., Arfan Ikram, M. & Niessen, W., 2019, In : Nature Genetics. 51, 11, p. 1624-1636

    Research output: Contribution to journalArticleScientificpeer-review

  8. 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

  9. 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

  10. High-Dimensional Mapping of Cognition to the Brain Using Voxel-Based Morphometry and Subcortical Shape Analysis

    Zonneveld, H. I., Roshchupkin, G. V., Adams, H. H. H., Gutman, B. A., Van Der Lugt, A., Niessen, W., Vernooij, M. W. & Ikram, M. A., 2019, In : Journal of Alzheimer's Disease. 71, 1, p. 141-152

    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, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 438-446 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

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