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17. Fletcher PT, Lu C, Pizer SM, Joshi S (2004) Principal geodesic analysis for the study of
nonlinear statistics of shape. IEEE Trans Med Imaging 23(8)
18. Fleute M (2001) Shape reconstruction for computer assisted surgery based on non-rigid
registration of statistical models with intra-operative point data and X-ray images. These de
l ' l'Université é Joseph Fourier, Grenoble I
19. Fr
é
chet M (1948) Les
é
l
é
éléments al
é
atoires de nature quelconque dans un espace distanci
é
. Ann
310
20. Gill S, Abolmaesumi P, Fichtinger G, Boisvert J, Pichora D, Borshneck D, Mousavi P (2012)
Biomechanically constrained groupwise ultrasound to CT registration of the lumbar spine.
Med Image Anal 16(3):662
Inst H Poincar
é
10:215
-
674
21. Heimann T, Meinzer HP (2009) Statistical shape models for 3D medical image segmentation:
a review. Med Image Anal 13(4):543
-
563
22. Humbert L, De Guise J, Aubert B, Godbout B, Skalli W (2009) 3D reconstruction of the spine
from biplanar X-rays using parametric models based on transversal and longitudinal
inferences. Med Eng Phys 31(6):681
-
687
23. Kadoury S, Cheriet F, Labelle H (2009) Personalized X-ray 3-D reconstruction of the scoliotic
spine from hybrid statistical and image-based models.
-
IEEE Trans Med Imaging 28
(9):1422 - 1435
24. Kirschner M, Becker M, Wesarg S (2011) 3D active shape model segmentation with nonlinear
shape priors. In: Medical image computing and computer-assisted intervention, Springer,
Berlin, pp 492 - 499
25. Klinder T, Wolz R, Lorenz C, Franz A, Ostermann J (2008) Spine segmentation using
articulated shape models. In: Medical image computing and computer-assisted intervention,
Springer, Berlin, pp 227
234
26. Lecron F, Boisvert J, Mahmoudi S, Labelle H, Benjelloun M (2013) Three-dimensional spine
model reconstruction using one-class SVM regularization. IEEE Trans Biomed Eng 60(11)
27. Mika S, Sch
-
ö
lkopf B, Smola AJ, M
ü
ller KR, Scholz M, R
ä
tsch G (1998) Kernel PCA and de-
542
28. Mitulescu A, Semaan I, Guise JAD, Leborgne P, Adamsbaum C, Skalli W (2001) Validation
of the non-stereo corresponding points stereoradiographic 3D reconstruction technique. Med
Biol Eng Comput 39(2):152
noising in feature spaces. Neural Inf Process Syst 11:536
-
158
29. Moura DC, Boisvert J, Barbosa JG, Labelle H, Tavares JMR (2011) Fast 3D reconstruction of
the spine from biplanar radiographs using a deformable articulated model. Med Eng Phys 33
(8):924 - 933
30. Papin P, Labelle H, Delorme S, Aubin CE, de Guise JA, Dansereau J (1999) Long-term three-
dimensional changes of the spine after posterior spinal
-
instrumentation and fusion in
adolescent idiopathic scoliosis. Eur Spine J 8:16 - 16
31. Pennec X (1999) Probabilities and statistics on riemannian manifolds: basic tools for
geometric measurements. Proc IEEE-EURASIP Workshop Nonlinear Signal Image Process
1:194 - 198
32. Pennec X, Thirion JP (1997) A framework for uncertainty and validation of 3D registration
methods based on points and frames. Int J Comput Vis 25(3):203
229
33. Plamondon A, Gagnon M, Maurais G (1988) Application of a stereoradiographic method for
the study of intervertebral motion. Spine 13(9):1027
-
1032
34. Pomero V, Mitton D, Laporte S, Guise JAD, Skalli W (2004) Fast accurate stereoradiographic
3D-reconstruction of the spine using a combined geometric and statistic model. Clin Biomech
19(3):240
-
247
35. Rasoulian A, Rohling R, Abolmaesumi P (2013) Lumbar spine segmentation using a statistical
multi-vertebrae anatomical shape + pose model. In: IEEE transactions on medical imaging
36. Roberts MG, Cootes TF, Pacheco E, Oh T, Adams JE (2009) Segmentation of lumbar
vertebrae using part-based graphs and active appearance models. In: Medical image computing
and computer-assisted intervention, Springer, Berlin, pp 1017 - 1024
-
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