1. 2020
  2. Predicting Global Cognitive Decline in the General Population Using the Disease State Index

    Cremers, L. G. M., Huizinga, W., Niessen, W. J., Krestin, G. P., Poot, D. H. J., Ikram, M. A., Lötjönen, J., Klein, S. & Vernooij, M. W., 2020, In : Frontiers in Aging Neuroscience. 11, 12 p., 379.

    Research output: Contribution to journalArticleScientificpeer-review

  3. 2019
  4. 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

  5. 2018
  6. A spatio-temporal reference model of the aging brain

    huizinga, W., Poot, D., Vernooij, M. W., Roshchupkin, G. V., bron, E. E., Ikram, M. A., Rueckert, D., Niessen, W. & Klein, S., 2018, In : NeuroImage. 169, p. 11-22

    Research output: Contribution to journalArticleScientificpeer-review

  7. Blood perfusion of patellar bone measured by dynamic contrast-enhanced MRI in patients with patellofemoral pain: A case–control study

    van der Heijden, R. A., Poot, D. H. J., Ekinci, M., Kotek, G., van Veldhoven, P. L. J., Klein, S., Verhaar, J. A. N., Krestin, G. P., Bierma-Zeinstra, S. M. A., van Middelkoop, M. & Oei, E. H. G., 2018, In : Journal of Magnetic Resonance Imaging. 48, 5, p. 1344-1350

    Research output: Contribution to journalArticleScientificpeer-review

  8. Dynamic contrast-enhanced MRI of the patellar bone: How to quantify perfusion

    Poot, D. H. J., van der Heijden, R. A., van Middelkoop, M., Oei, E. H. G. & Klein, S., 2018, In : Journal of Magnetic Resonance Imaging. 47, 3, p. 848-858 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Groupwise image registration based on a total correlation dissimilarity measure for quantitative MRI and dynamic imaging data

    Guyader, J. M., Huizinga, W., Poot, D. H. J., van Kranenburg, M., Uitterdijk, A., Niessen, W. J. & Klein, S., 2018, In : Scientific Reports. 8, 1, 14 p., 13112.

    Research output: Contribution to journalArticleScientificpeer-review

  10. 2017
  11. 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

  12. 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, p. 783-786 4 p. 7950635

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

  13. Classification of hemodynamically significant stenoses from dynamic CT perfusion and CTA myocardial territories

    Giordano, M., Poot, D., Coenen, A., van Walsum, T., Tezza, M., Nieman, K. & Niessen, W., 22 Mar 2017, In : Medical Physics. 44, 4, p. 1347-1358 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. Stochastic optimization with randomized smoothing for image registration

    Sun, W., Poot, D. H. J., Smal, I., Yang, X., Niessen, W. J. & Klein, S., 2017, In : Medical Image Analysis. 35, p. 146-158 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. Super-resolution T1 estimation: Quantitative high resolution T1 mapping from a set of low resolution T1-weighted images with different slice orientations

    Van Steenkiste, G., Poot, D. H. J., Jeurissen, B., den Dekker, A. J., Vanhevel, F., Parizel, P. M. & Sijbers, J., 2017, In : Magnetic Resonance in Medicine. 77, 5, p. 1818-1830

    Research output: Contribution to journalArticleScientificpeer-review

  16. 2016
  17. Total Correlation-Based Groupwise Image Registration for Quantitative MRI

    Guyader, J. M., Huizinga, W., Fortunati, V., Poot, D. H., Kranenburg, M. V., Veenland, J. F., Paulides, M. M., Niessen, W. J. & Klein, S., 16 Dec 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016. IEEE, p. 626-633 8 p. 7789574

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

  18. Modeling the brain morphology distribution in the general aging population

    Huizinga, W., Poot, D. H. J., Roshchupkin, G., Bron, E. E., Ikram, M. A., Vernooij, M. W., Rueckert, D., Niessen, W. J. & Klein, S., 2016, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Gimi, B. & Krol, A. (eds.). SPIE, Vol. 9788. p. 1-7 97880I. (Proceedings of SPIE; vol. 9788).

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

  19. PCA-based groupwise image registration for quantitative MRI

    Huizinga, W., Poot, DHJ., Guyader, JM., Klaassen, R., Coolen, BF., van Kranenburg, M., van Geuns, RJM., Uitterdijk, A., Polfliet, M., Vandermeulebroucke, J., Leemans, A., Niessen, WJ. & Klein, S., 2016, In : Medical Image Analysis. 29, p. 65-78 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Reliable Dual Tensor Model Estimation in Single and Crossing Fibers Based on Jeffreys Prior

    Yang, J., Poot, D. HJ., Caan, M. WA., Su, T., Majoie, C. BLM., van Vliet, L. J. & Vos, F. M., 2016, In : PLoS ONE. 11, 10, 24 p., e0164336.

    Research output: Contribution to journalArticleScientificpeer-review

  21. Super-resolution reconstruction of diffusion parameters from diffusion-weighted images with different slice orientations

    Van Steenkiste, G., Jeurissen, B., Veraart, J., den Dekker, AJ., Parizel, PM., Poot, DHJ. & Sijbers, J., 2016, In : Magnetic Resonance in Medicine. 75, 1, p. 181-195

    Research output: Contribution to journalArticleScientificpeer-review

  22. Three-dimensional quantitative T1 and T2 mapping of the carotid artery: Sequence design and in vivo feasibility

    Coolen, BF., Poot, DHJ., Liem, MI., Smits, LP., Gao, S., Kotek, G., Klein, S. & Nederveen, AJ., 2016, In : Magnetic Resonance in Medicine. 75, 3, p. 1008-1017 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  23. 2015
  24. CSF contamination-invariant statistics in diffusion-weighted MRI

    Arkesteijn, GAM., Poot, DHJ., de Groot, M., Vernooij, MW., Niessen, WJ., van Vliet, LJ. & Vos, FM., 2015, Proceedings of the 12th IEEE International Symposium on Biomedical Imaging. Kova¿evi¿, J. & Angelini, E. (eds.). Piscataway: IEEE Society, p. 454-457 4 p.

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

  25. Detecting statistically significant differences in quantitative MRI experiments, applied to diffusion tensor imaging

    Poot, DHJ. & Klein, S., 2015, In : IEEE Transactions on Medical Imaging. 34, 5, p. 1164-1176 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  26. Estimating diffusion properties in complex fiber configurations based on structure-adaptive multi-valued tensor-field filtering

    Yang, J., Poot, DHJ., Arkesteijn, GAM., Caan, MWA., van Vliet, LJ. & Vos, FM., 2015, Medical Imaging 2015: Image Processing. Ourselin, S. & Styner, MA. (eds.). Bellingham, WA, USA: SPIE, p. 1-7 7 p. (Proceedings of SPIE- International Society for Optical Engineering; vol. 9413).

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

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