A Locally Linear Method for Enforcing Temporal Smoothness in Serial Image Registration - Longitudinal Registration and Shape Modeling - page 22

16. De Craene, M., Piella, G., Duchateau, N., Silva, E., Doltra, A., Gao, H., D'hooge,
J., Camara, O., Brugada, J., Sitges, M., Frangi, A.F.: Temporal diffeomorphic free-
form deformation for strain quantification in 3D-US images. In: Jiang, T., Navab,
N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part II. LNCS, vol. 6362,
pp. 1-8. Springer, Heidelberg (2010)
17. Reuter, M., Schmansky, N.J., Rosas, H.D., Fischl, B.: Within-subject template
estimation for unbiased longitudinal image analysis. NeuroImage 61 (4), 1402-1418
(2012)
18. Guizard, N., Fonov, V.S., Garcıa-Lorenzo, D., Aubert-Broche, B., Eskildsen, S.F.,
Collins, D.L.: Spatio-temporal regularization for longitudinal registration to an
unbiased 3D individual template. In: Durrleman, S., Fletcher, T., Gerig, G.,
Niethammer, M. (eds.) STIA 2012. LNCS, vol. 7570, pp. 1-12. Springer, Heidelberg
(2012)
19. Wu, G., Wang, Q., Shen, D., Initiative, T.A.D.N.: Registration of longitudinal brain
image sequences with implicit template and spatial-temporal heuristics. NeuroIm-
age 59 (1), 404-421 (2012)
20. Arsigny, V., Commowick, O., Pennec, X., Ayache, N.: A log-euclidean framework
for statistics on diffeomorphisms. In: Larsen, R., Nielsen, M., Sporring, J. (eds.)
MICCAI 2006. LNCS, vol. 4190, pp. 924-931. Springer, Heidelberg (2006)
21. Zhang, Z., Sahn, D., Song, X.: Frame to frame diffeomorphic motion analysis from
echocardiographic sequences. In: Proceedings of the Third International Workshop
on Mathematical Foundations of Computational Anatomy - Geometrical and Sta-
tistical Methods for Modelling Biological Shape Variability, pp. 15-24 (2011)
22. Hinkle, J., Muralidharan, P., Fletcher, P.T., Joshi, S.: Polynomial regression on rie-
mannian manifolds. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid,
C. (eds.) ECCV 2012, Part III. LNCS, vol. 7574, pp. 1-14. Springer, Heidelberg
(2012)
23. Fishbaugh, J., Prastawa, M., Gerig, G., Durrleman, S.: Geodesic shape regression
in the framework of currents. In: Gee, J.C., Joshi, S., Pohl, K.M., Wells, W.M.,
Zollei, L. (eds.) IPMI 2013. LNCS, vol. 7917, pp. 718-729. Springer, Heidelberg
(2013)
24. Lorenzi, M., Ayache, N., Frisoni, G., Pennec, X.: 4D registration of serial brain's
MR images: a robust measure of changes applied to Alzheimer's disease, 1-12
(2010)
25. Serag, A., Aljabar, P., Ball, G., Counsell, S.J., Boardman, J.P., Rutherford, M.A.,
Edwards, A.D., Hajnal, J.V., Rueckert, D.: Construction of a consistent high-
definition spatio-temporal atlas of the developing brain using adaptive kernel
regression. NeuroImage 59 (3), 2255-2265 (2012)
26. Vercauteren, T., Pennec, X., Perchant, A., Ayache, N.: Diffeomorphic demons:
Ecient non-parametric image registration. NeuroImage 45 (1), S61-S72 (2009)
27. Bossa, M., Hernandez, M., Olmos, S.: Contributions to 3D diffeomorphic atlas
estimation: application to brain images. In: Ayache, N., Ourselin, S., Maeder, A.
(eds.) MICCAI 2007, Part I. LNCS, vol. 4791, pp. 667-674. Springer, Heidelberg
(2007)
28. Myronenko, A., Song, X.: Intensity-based Image Registration by Minimizing Resid-
ual Complexity. IEEE Transactions on Medical Imaging (99), 1882-1891 (2010)
29. Lorenzi, M., Pennec, X.: Ecient parallel transport of deformations in time series
of images: from Schild's to pole ladder. Journal of Mathematical Imaging and
Vision, 1-13 (2013)