1. Automatic Classification of Calcification in the Coronary Vessel Tree

    Shazhad, R., van Vliet, LJ., Niessen, WJ. & van Walsum, T., 2014, MICCAI Challenge on Automated Coronary Artery Scoring, orCAScore 2014. s.n. (ed.). MICCAI, p. 14-21 8 p.

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

  2. Automatic carotid artery distensibility measurements from CTA using nonrigid registration

    Hameeteman, K., Rozie, S., Metz, CT., Manniesing, R., van Walsum, T., van der Lugt, A., Niessen, WJ. & Klein, S., 2013, In : Medical Image Analysis. 17, p. 515-524 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Automatic detection of calcified lesions in the descending aorta using contrast enhanced CT scans

    Shahzad, R., Schaap, M., Goncalves, FB., Metz, C., Tang, H., van Walsum, T., Moelker, A., van Vliet, LJ. & Niessen, WJ., 2012, 9th IEEE International Symposium on Biomedical Imaging (ISBI). sn (ed.). Barcelona: s.n., p. 250-253 4 p.

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

  4. 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

  5. Automatic online layer separation for vessel enhancement in X-ray angiograms for percutaneous coronary interventions

    Ma, H., Hoogendoorn, A., Regar, E., Niessen, W. J. & van Walsum, T., 2017, In : Medical Image Analysis. 39, p. 145-161

    Research output: Contribution to journalArticleScientificpeer-review

  6. Automatic quantification of brain mri to improve the diagnostic workup of dementia in memory clinic patients

    Steketee, R. M. E., Vernooij, M. W., Jasperse, B., Koek, M., Vrooman, H. A., Ikram, M. A., Papma, J. M., van Swieten, J. C., Van Der Lugt, A., Niessen, W. & Smits, M., 2017, In : Alzheimer's & Dementia. 13, 7 supplement, p. 1119-1120 2 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Automatic quantification of epicardial fat volume on non-enhanced cardiac CT scans using a multi-atlas segmentation approach

    Shahzad, R., Bos, D., Metz, CT., Rossi, A., Kirisli, H., van der Lugt, A., Klein, S., Witteman, J., de Feyter, P., Niessen, WJ. & van Walsum, T., 2013, In : Medical Physics. 40, 9, p. 1-9 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. 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

  9. 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

  10. 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

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