Vincent Arsigny

According to our database, Vincent Arsigny authored at least 17 papers between 2000 and 2009.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2009

A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration.

Vincent Arsigny, Olivier Commowick, Nicholas Ayache, Xavier Pennec

J. Math. Imaging Vis., 2009

2008

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

2007

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

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

PhD thesis, 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

A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration.

Vincent Arsigny, Olivier Commowick, Xavier Pennec, Nicholas Ayache

Proceedings of the Biomedical Image Registration, Third International Workshop, 2006

A Log-Euclidean Framework for Statistics on Diffeomorphisms.

Vincent Arsigny, Olivier Commowick, Xavier Pennec, Nicholas Ayache

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Clinical DT-MRI estimation, smoothing and fiber tracking with Log-Euclidean metrics.

Pierre Fillard, Vincent Arsigny, Xavier Pennec, Nicholas Ayache

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

An efficient locally affine framework for the registration of anatomical structures.

Olivier Commowick, Vincent Arsigny, María Jimena Costa, Nicholas Ayache, Grégoire Malandain

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

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

Riemannian Elasticity: A Statistical Regularization Framework for Non-linear Registration.

Xavier Pennec, Radu Stefanescu, Vincent Arsigny, Pierre Fillard, Nicholas Ayache

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Fast and Simple Calculus on Tensors in the Log-Euclidean Framework.

Vincent Arsigny, Pierre Fillard, Xavier Pennec, Nicholas Ayache

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability.

Pierre Fillard, Vincent Arsigny, Xavier Pennec, Paul M. Thompson, Nicholas Ayache

Proceedings of the Information Processing in Medical Imaging, 2005

A Riemannian Framework for the Processing of Tensor-Valued Images.

Pierre Fillard, Vincent Arsigny, Nicholas Ayache, Xavier Pennec

Proceedings of the Deep Structure, 2005

2003

Polyrigid and Polyaffine Transformations: A New Class of Diffeomorphisms for Locally Rigid or Affine Registration.

Vincent Arsigny, Xavier Pennec, Nicholas Ayache

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2000

Speech modeling with state constrained Markov fields over frequency bands.

Vincent Arsigny, Gérard Chollet, Guillaume Gravier, Marc Sigelle

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000