1. C. T. Metz, S. Klein, M. Schaap, T. van Walsum, and W. J. Niessen, “Nonrigid registration of dynamic medical imaging data using nD+ t B-splines and a groupwise optimization approach,” Medical image analysis, vol. 15, no. 2, pp. 238–249, 2011. Full details | PDF
  2. W. Huizinga et al., “PCA-based groupwise image registration for quantitative MRI,” Medical image analysis, vol. 29, pp. 65–78, 2016. Full details | PDF
  3. S. Klein, M. Staring, K. Murphy, M. A. Viergever, and J. P. W. Pluim, “Elastix: A toolbox for intensity-based medical image registration,” IEEE transactions on medical imaging, vol. 29, no. 1, pp. 196–205, 2010. Full details | PDF
  4. S. Klein, J. P. W. Pluim, M. Staring, and M. A. Viergever, “Adaptive stochastic gradient descent optimisation for image registration,” International journal of computer vision, vol. 81, no. 3, p. 227, 2009. Full details | PDF
  5. F. Wang, B. C. Vemuri, A. Rangarajan, and S. J. Eisenschenk, “Simultaneous nonrigid registration of multiple point sets and atlas construction,” IEEE transactions on pattern analysis and machine intelligence, vol. 30, no. 11, pp. 2011–2022, 2008. Full details | PDF
  6. T. Chen, B. C. Vemuri, A. Rangarajan, and S. J. Eisenschenk, “Group-wise point-set registration using a novel CDF-based Havrda-Charvát divergence,” International journal of computer vision, vol. 86, no. 1, p. 111, 2010. Full details | PDF
  7. R. Strand et al.,“A concept for holistic whole body MRI data analysis, Imiomics”</a> PloS one, vol. 12, no. 2, 2017. Full details | PDF
  8. L. Lind, J. Kullberg, H. Ahlström, K. Michaëlsson, and R. Strand,“Proof of principle study of a detailed whole-body image analysis technique, ‘Imiomics’, regarding adipose and lean tissue distribution”</a> Scientific reports, vol. 9, no. 1, p. 7388, 2019. Full details | PDF
  9. S. Ekström, F. Malmberg, H. Ahlström, J. Kullberg, and R. Strand,“Fast graph-cut based optimization for practical dense deformable registration of volume images”</a> Computerized Medical Imaging and Graphics, vol. 84, p. 101745, 2020. Full details | PDF
  10. T. Sjöholm et al.,“A whole-body FDG PET/MR atlas for multiparametric voxel-based analysis”</a> Scientific reports, vol. 9, no. 1, p. 6158, 2019. Full details | PDF
  11. M. Pilia, J. Kullberg, H. Ahlström, F. Malmberg, S. Ekström, and R. Strand,“Average volume reference space for large scale registration of whole-body magnetic resonance images”</a> PLOS ONE, vol. 14, no. 10, pp. 1–15, 2019. Full details | PDF
  12. A. Guimond, J. Meunier, and J.-P. Thirion, “Average brain models: A convergence study,” Computer vision and image understanding, vol. 77, no. 2, pp. 192–210, 2000. Full details | PDF
  13. G. Wu, H. Jia, Q. Wang, and D. Shen, “SharpMean: groupwise registration guided by sharp mean image and tree-based registration,” NeuroImage, vol. 56, no. 4, pp. 1968–1981, 2011. Full details | PDF
  14. S. K. Balci, P. Golland, M. Shenton, and W. M. Wells, “Free-Form B-spline Deformation Model for Groupwise Registration,” in MICCAI. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2006, vol. 10, pp. 23–30. Full details | PDF
  15. S. Joshi, B. Davis, M. Jomier, and G. Gerig, “Unbiased diffeomorphic atlas construction for computational anatomy,” NeuroImage, vol. 23, pp. S151–S160, 2004. Full details | PDF
  16. B. Khanal, N. Ayache, and X. Pennec, “Simulating Longitudinal Brain MRIs with known Volume Changes and Realistic Variations in Image Intensity,” Frontiers in Neuroscience, vol. 11, no. Article 132, p. 18, 2017. Full details | PDF
  17. A. D. C. Smith, W. R. Crum, D. L. Hill, N. A. Thacker, and P. A. Bromiley, “Biomechanical simulation of atrophy in MR images,” in Proceedings of SPIE, 2003, vol. 5032, pp. 481–490. Full details | PDF
  18. O. Camara et al., “Phenomenological model of diffuse global and regional atrophy using finite-element methods,” IEEE transactions on medical imaging, vol. 25, no. 11, pp. 1417–1430, 2006. Full details | PDF
  19. B. Karaçali and C. Davatzikos, “Simulation of tissue atrophy using a topology preserving transformation model,” IEEE transactions on medical imaging, vol. 25, no. 5, pp. 649–652, 2006. Full details | PDF
  20. M. C. van Eede, J. Scholz, M. M. Chakravarty, R. M. Henkelman, and J. P. Lerch, “Mapping registration sensitivity in MR mouse brain images,” Neuroimage, vol. 82, pp. 226–236, 2013. Full details | PDF