1. 2018
  2. Towards robust CT-ultrasound registration using deep learning methods

    Sun, Y., Moelker, A., Niessen, W. J. & van Walsum, T., 2018, Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Proceedings. Springer Verlag, Vol. 11038 LNCS. p. 43-51 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11038 LNCS).

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

  3. 2017
  4. Retinal neurodegeneration and brain MRI markers: The Rotterdam Study

    Mutlu, U., Bonnemaijer, P. W. M., Ikram, M. A., Colijn, J. M., Cremers, L. G. M., Buitendijk, G. H. S., Vingerling, J. R., Niessen, W. J., Vernooij, M. W., Klaver, C. C. W. & Ikram, M. K., 1 Dec 2017, In : Neurobiology of Aging: age-related phenomena, neurodegeneration and neuropathology. 60, p. 183-191 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Genetic susceptibility to multiple sclerosis: Brain structure and cognitive function in the general population

    Ikram, M. A., Vernooij, M. W., Roshchupkin, G. V., Hofman, A., van Duijn, C. M., Uitterlinden, A. G., Niessen, W. J., Hintzen, R. Q. & Adams, H. H., 1 Nov 2017, In : Multiple Sclerosis. 23, 13, p. 1697-1706 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. The effect of hippocampal function, volume and connectivity on posterior cingulate cortex functioning during episodic memory fMRI in mild cognitive impairment

    Papma, J. M., Smits, M., De Groot, M., Mattace-Raso, F. U. S., van der Lugt, A., Vrooman, H. A., Niessen, W. J., Koudstaal, P. J., van Swieten, J. C., van der Veen, F. M. & Prins, N. D., 1 Sep 2017, In : European Radiology. 27, 9, p. 3716-3724 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. CSF contamination-invariant statistics in conventional diffusion-weighted MRI of the fornix

    Arkesteijn, J., Poot, D., de Groot, M., Ikram, M. A., Niessen, W., van Vliet, L., Vernooij, MW. & Vos, F., 30 Aug 2017, In : Biomedical Physics & Engineering Express. 3, p. 1-14 065003.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Randomly perturbed b-splines for nonrigid image registration

    Niessen, W. J., Sun, W. & Klein, S., 1 Jul 2017, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 39, 7, p. 1401-1413 13 p., 7533440.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Heritability of connectivity and disconnectivity of the brain in a population-based study

    Langen, C. D., Roshchupkin, G., Adams, H. H., De Groot, M., Vos, F., Vernooij, M. W., Ikram, M. A. & Niessen, W. J., 15 Jun 2017, Proceedings of IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 349-353 5 p. 7950535

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

  10. Longitudinal analysis of diffusion-weighted MRI with a ball-and-sticks model

    Arkesteijn, G. A. M., Poot, D. H. J., Niestijl, M., Vernooij, M. W., Niessen, W. J., Van Vliet, L. J. & Vos, F. M., 15 Jun 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 783-786 4 p. 7950635

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

  11. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group

    Schmaal, L., Hibar, D. P., Sämann, P. G., Hall, G. B., Baune, B. T., Jahanshad, N., Cheung, J. W., Van Erp, T. G. M., Bos, D., Ikram, M. A., Vernooij, M. W., Niessen, W. J., Tiemeier, H., Hofman, A., Wittfeld, K., Grabe, H. J., Janowitz, D., Bülow, R., Selonke, M., Völzke, H. & 61 othersGrotegerd, D., Dannlowski, U., Arolt, V., Opel, N., Heindel, W., Kugel, H., Hoehn, D., Czisch, M., Couvy-Duchesne, B., Rentería, M. E., Strike, L. T., Wright, M. J., Mills, N. T., De Zubicaray, G. I., McMahon, K. L., Medland, S. E., Martin, N. G., Gillespie, N. A., Goya-Maldonado, R., Gruber, O., Krämer, B., Hatton, S. N., Lagopoulos, J., Hickie, I. B., Frodl, T., Carballedo, A., Frey, E. M., Van Velzen, L. S., Penninx, B. W. J. H., Van Tol, M. J., Van Der Wee, N. J., Davey, C. G., Harrison, B. J., Mwangi, B., Cao, B., Soares, J. C., Veer, I. M., Walter, H., Schoepf, D., Zurowski, B., Konrad, C., Schramm, E., Normann, C., Schnell, K., Sacchet, M. D., Gotlib, I. H., MacQueen, G. M., Godlewska, B. R., Nickson, T., McIntosh, A. M., Papmeyer, M., Whalley, H. C., Hall, J., Sussmann, J. E., Li, M., Walter, MT., Aftanas, L., Brack, I., Bokhan, N. A., Thompson, P. M. & Veltman, D. J., 1 Jun 2017, In : Molecular Psychiatry. 22, 6, p. 900-909 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Gray matter heritability in family-based and population-based studies using voxel-based morphometry

    van der Lee, S. J., Roshchupkin, G. V., Adams, H. H., Schmidt, H., Hofer, E., Saba, Y., Schmidt, R., Hofman, A., Amin, N., van Duijn, C. M., Vernooij, M. W., Ikram, M. A. & Niessen, W. J., 1 May 2017, In : Human Brain Mapping. 38, 5, p. 2408-2423 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

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