1. 2019
  2. Fully convolutional architecture vs sliding-window CNN for corneal endothelium cell segmentation

    Vigueras Guillén, J. P., Sari, B., Goes, S., Lemij, H. G., van Rooij, J., Vermeer, K. & van Vliet, L., 2019, In : BMC Biomedical Engineering. 1, 4

    Research output: Contribution to journalArticleScientificpeer-review

  3. 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

  4. 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. p. 1624-1636

    Research output: Contribution to journalArticleScientificpeer-review

  5. 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

  6. 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

  7. 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

  8. 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/Report/Conference proceedingConference contributionScientificpeer-review

  9. Image analysis methods for dynamic hepatocyte-specific contrast enhanced MRI

    Zhang, T., 2019, 125 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  10. Implementation of a quantum private query using single-photon transistors

    Nagtegaal, M. A. & Blaauboer, M., 2019, In : Journal of Physics B: Atomic, Molecular and Optical Physics. 52, 4, 6 p., 045501.

    Research output: Contribution to journalArticleScientificpeer-review

  11. 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

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