1. Automatic segmentation and quantification of the cardiac structures from non-contrast-enhanced cardiac CT scans

    Shahzad, R., Bos, D., Budde, R. P. J., Pellikaan, K., Niessen, W. J., Van Der Lugt, A. & Van Walsum, T., 11 Apr 2017, In : Physics in Medicine and Biology. 62, 9, p. 3798-3813 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  2. Automatic segmentation, detection and quantification of coronary artery stenoses on CTA

    Shahzad, R., Kirisli, H., Metz, CT., Tang, H., Schaap, M., van Vliet, LJ., Niessen, WJ. & van Walsum, T., 2013, In : International Journal of Cardiovascular Imaging. p. 1-13 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Automatic segmentations of arteries through the skull base

    Manniesing, R. & Niessen, WJ., 2007, In : Proceedings of SPIE- International Society for Optical Engineering. 6512

    Research output: Contribution to journalConference articleScientificpeer-review

  4. Automatic tissue segmentation of head and neck MR images for hyperthermia treatment planning

    Fortunati, V., Verhaart, RF., Niessen, WJ., Veenland, JF., Paulides, MM. & van Walsum, T., 2015, In : Physics in Medicine and Biology. 60, 16, p. 6547-6562 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. 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

  6. Bayesian Tracking for Fluorescence Microscopic Imaging

    Smal, I., Niessen, WJ. & Meijering, E., 2006, From Nano to Macro. Christensen, G., Coatrieux, JL., Fessler, J., Kovacevic, J., Liang, ZP., Meijering, E., Moura, J., Murphy, B., Niessen, W., Roux, C., Unser, M. & Wilson, D. (eds.). Piscataway: IEEE Society, p. 550-553 4 p. (International Symposium on Biomedical Imaging. Proceedings; vol. 4).

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

  7. Bayesian tracking of tubular structures and its application to carotid arteries in CTA

    Schaap, M., Manniesing, R., Smal, I., van Walsum, T., van der Lugt, A. & Niessen, WJ., 2007, In : Lecture Notes in Computer Science. p. 562-570 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Brain MRI-markers Associate Differentially with Cognitive Versus Functional Decline Leading to Dementia

    Verlinden, V. J. A., van der Geest, J. N., Hofman, A., Niessen, W. J., van der Lugt, A., Vernooij, M. W. & Ikram, M. A., Feb 2017, In : American Geriatrics Society. Journal. 65, 6, p. 1258–1266 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Brain Volumes and Longitudinal Cognitive Change: A Population-based Study

    Vibha, D., Tiemeier, H., Mirza, S. S., Adams, H. H., Niessen, W. J., Hofman, A., Prasad, K., van der Lugt, A., Vernooij, M. W. & Ikram, M. A., 2018, In : Alzheimer Disease and Associated Disorders. 32, 1, p. 43-49

    Research output: Contribution to journalArticleScientificpeer-review

  10. Brain cortical thickness in the general elderly population: The Rotterdam Scan Study

    Velsen, EFS., Vernooij, MW., Vrooman, HA., van der Lugt, A., Breteler, MMB., Hofman, A., Niessen, WJ. & Ikram, MA., 2013, In : Neuroscience Letters. 550, p. 189-194 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

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