Speech modeling with state constrained Markov fields over frequency bands. - Vincent Arsigny; Gérard Chollet; Guillaume Gravier; Marc Sigelle (INTERSPEECH, 2000)

Polyrigid and Polyaffine Transformations: A New Class of Diffeomorphisms for Locally Rigid or Affine Registration. - Vincent Arsigny; Xavier Pennec; Nicholas Ayache (MICCAI (2), 2003)

A Riemannian Framework for the Processing of Tensor-Valued Images. - Pierre Fillard; Vincent Arsigny; Nicholas Ayache; Xavier Pennec (DSSCV, 2005)

Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability. - Pierre Fillard; Vincent Arsigny; Xavier Pennec; Paul M. Thompson; Nicholas Ayache (IPMI, 2005)

Fast and Simple Calculus on Tensors in the Log-Euclidean Framework. - Vincent Arsigny; Pierre Fillard; Xavier Pennec; Nicholas Ayache (MICCAI, 2005)

Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy. - Olivier Commowick; Radu Stefanescu; Pierre Fillard; Vincent Arsigny; Nicholas Ayache; Xavier Pennec; Grégoire Malandain (MICCAI (2), 2005)

Riemannian Elasticity: A Statistical Regularization Framework for Non-linear Registration. - Xavier Pennec; Radu Stefanescu; Vincent Arsigny; Pierre Fillard; Nicholas Ayache (MICCAI (2), 2005)

Polyrigid and polyaffine transformations: A novel geometrical tool to deal with non-rigid deformations - Application to the registration of histological slices. - Vincent Arsigny; Xavier Pennec; Nicholas Ayache (Medical Image Anal., 2005)

An efficient locally affine framework for the registration of anatomical structures. - Olivier Commowick; Vincent Arsigny; María Jimena Costa; Nicholas Ayache; Grégoire Malandain (ISBI, 2006)

A Log-Euclidean Framework for Statistics on Diffeomorphisms. - Vincent Arsigny; Olivier Commowick; Xavier Pennec; Nicholas Ayache (MICCAI (1), 2006)

A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration. - Vincent Arsigny; Olivier Commowick; Xavier Pennec; Nicholas Ayache (WBIR, 2006)

Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices. - Vincent Arsigny; Pierre Fillard; Xavier Pennec; Nicholas Ayache (SIAM J. Matrix Anal. Appl., 2006)

Processing Data in Lie Groups : An Algebraic Approach. Application to Non-Linear Registration and Diffusion Tensor MRI. (Traitement de données dans les groupes de Lie : une approche algébrique. Application au recalage non-linéaire et à l'imagerie du tenseur de diffusion). - Vincent Arsigny (2006)

Measuring brain variability by extrapolating sparse tensor fields measured on sulcal lines. - Pierre Fillard; Vincent Arsigny; Xavier Pennec; Kiralee M. Hayashi; Paul M. Thompson; Nicholas Ayache (NeuroImage, 2007)

Clinical DT-MRI Estimation, Smoothing, and Fiber Tracking With Log-Euclidean Metrics. - Pierre Fillard; Xavier Pennec; Vincent Arsigny; Nicholas Ayache (IEEE Trans. Medical Imaging, 2007)

An efficient locally affine framework for the smooth registration of anatomical structures. - Olivier Commowick; Vincent Arsigny; A. Isambert; J. Costa; F. Dhermain; F. Bidault; Pierre-Yves Bondiau; Nicholas Ayache; Grégoire Malandain (Medical Image Anal., 2008)

A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration. - Vincent Arsigny; Olivier Commowick; Nicholas Ayache; Xavier Pennec (J. Math. Imaging Vis., 2009)