Publications

Resulting from the collaboration

• Guillaume Auzias, Joan Glaunès, Arnaud Cachia, Pascal Cathier, Eric Bardinet, Olivier Colliot, Jean-François Mangin, Alain Trouvé, and Sylvain Baillet. Multi-scale diffeomorphic cortical registration under manifold sulcal constraints in 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008), p.1127-1130, 2008.
• Guillaume Auzias, Joan Glaunès, Pascal Cathier, Eric Bardinet, Olivier Colliot, Jean-François Mangin, Alain Trouvé, and Sylvain Baillet. Diffeomorphic cortical registration under sulcal manifold constraints. In Proc. Human Brain Mapping Conference (OHBM'07), Chicago, USA, 2007.
• Jean Cousty, Pierre Fillard, Xavier Pennec. Watersheds and statistical atlases for brain DTI analysis. In preparation.
• Jean Cousty, Gilles Bertrand, Laurent Najman, and Michel Couprie. Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008. Note: To appear.
• Jean Cousty, Laurent Najman, and Jean Serra. Raising in watershed lattices. In /Proc. of the IEEE International Conference on Image Processing (ICIP'2008), 2008. Note: To appear.
• Jean Cousty and Gilles Bertrand. A uniqueness property of perfect fusion grids on Z^n. In Proc. Workshop on Computational Topology in Image Context, 2008. Submitted to JMIV.
• Cykowski MD, Coulon O, Kochunov PV, Amunts K, Lancaster JL, Laird AR, Glahn DC, Fox PT, The central sulcus: an observer-independent characterization of sulcal landmarks and depth asymmetry, Cerebral Cortex, 18(9):1999-2009, 2008.
• M. Descoteaux, N. Wiest-Daesslé, S. Prima, C. Barillot, R. Deriche. Impact of Rician adapted non-local means filtering on HARDI. In 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'2008, D.N. Metaxas, L. Axel, G. Fichtinger, G. Székely (eds.), Lecture Notes in Computer Science, Pages 122-130, New York, États-Unis, Septembre 2008.
• Stanley Durrleman, Xavier Pennec, Alain Trouvé, and Nicholas Ayache. Measuring Brain Variability via Sulcal Lines Registration: a Diffeomorphic Approach. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), Brisbane, Australia, 2007.
• Stanley Durrleman, Xavier Pennec, Alain Trouvé, Paul Thompson, and Nicholas Ayache. Inferring brain variability from diffeomorphic deformations of currents: an integrative approach. Medical Image Analysis, 12/5(12):626-637, 2008.
• Stanley Durrleman, Xavier Pennec, Alain Trouvé, and Nicholas Ayache. A Forward Model to Build Unbiased Atlases from Curves and Surfaces. In X. Pennec and S. Joshi, editors, Proc. of the International Workshop on the Mathematical Foundations of Computational Anatomy (MFCA-2008), September 2008.
• Stanley Durrleman, Xavier Pennec, Alain Trouvé, and Nicholas Ayache. Sparse Approximation of Currents for Statistics on Curves and Surfaces. In Dimitris Metaxas, Leon Axel, Gabor Szekely, and Gabor Fichtinger, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS, New-York, USA, September 2008. Springer. Note: In press.
• P. Fillard, X. Pennec, P.M. Thompson, and N. Ayache. Evaluating Brain Anatomical Correlations via Canonical Correlation Analysis of Sulcal Lines. In Proc. of MICCAI'07 Workshop on Statistical Registration: Pair-wise and Group-wise Alignment and Atlas Formation, Brisbane, Australia, 2007. Note: To appear.
• M. Perrot, D. Riviere and J.-F. Mangin. Identifying cortical sulci from localization, shape and local organization. In Proc of ISBI 2008, p.420-423, IEEE.
• M. Perrot, D. Riviere, E. Duchesnay, J.-L. Martinot, J.-F. Mangin. Automatic Recognition Of Cortical Sulci Using Support Vector Machine And Dimension Reduction. In Proc. Human Brain Mapping Conference (OHBM'07), Chicago, USA, 2007.
• Operto G, Bulot R, Anton J-L, Coulon O, Projection of fMRI data onto the cortical surface using anatomically-informed convolution kernels, Neuroimage, 39:127-135, 2008.
• Operto G, Clouchoux C, Bulot R, Anton J-L, Coulon O, Surface-based structural group analysis of fMRI data, In MICCAI'08, International Conference on Medical Image Computing and Computer Assisted Intervention, New York, USA, 2008.
• Xavier Pennec and Pierre Fillard. Statistical computing on non-linear spaces for computational anatomy. In N. Paragios, J. Duncan, and N. Ayache, editors, Biomedical Image Analysis: Methodologies and Applications. Springer, 2008. Note: To appear.
• A. Tucholka, B. Thirion, P. Pinel, J.-B. Poline, and J.-F. Mangin. Triangulating cortical functional networks with anatomical landmarks. In 5th Proc. IEEE ISBI, Paris, France, pages 612-615, May 2008.
• A. Tucholka, B. Thirion, M. Perrot, P. Pinel, J.-F. Mangin and J.-B. Poline, Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions? In Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2008, New-York, pages 399-406, Springer, 2008.
• N. Wiest-Daesslé, S. Prima, P. Coupé, S.P. Morrissey, C. Barillot. Rician noise removal by non-local means filtering for low signal-to-noise ratio MRI: Applications to DT-MRI. In 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'2008, D.N. Metaxas, L. Axel, G. Fichtinger, G. Székely (eds.), Lecture Notes in Computer Science, Pages 171-179, New York, États-Unis, Septembre 2008.

References on data and tools to infer brain variability

• Pierre Fillard, Vincent Arsigny, Xavier Pennec, and Nicholas Ayache. Clinical DT-MRI Estimation, Smoothing and Fiber Tracking with Log-Euclidean Metrics. IEEE Transactions on Medical Imaging, 2007. Note: In Press.
• Clouchoux C, Coulon O, Anton J-L, Mangin J-F, Régis J, A new cortical surface parcellation model and its automatic implementation, MICCAI'06, International Conference on Medical Image Computing and Computer Assisted Intervention, in Lecture Notes in Computer Science, vol. 4191, pp. 193-200, Springer-Verlag, Copenhaguen, Denmark, 2006.
• Clouchoux C, Coulon O, Rivière D, Cachia A, Mangin J-F, Régis J, Anatomically constrained surface parameterization for cortical localization, MICCAI'05, International Conference on Medical Image Computing and Computer Assisted Intervention, in Lecture Notes in Computer Science, vol. 3750, pp. 344-351, Springer-Verlag, Palm Spring, California, USA, 2005.
• Coulon O, Clouchoux C, Operto G, Dauchot K, Sirigu A, Anton J-L, Cortical localization via surface parametrization : a sulcus-based approach, Human Brain Mapping, Florence, Italy, 2006.
• Operto G, Clouchoux C, Anton J-L, Cachia A, Dauchot K, Sirigu A, Bulot R, Coulon O, Cortical localization via surface parametrization : a gyrus-based approach, Human Brain Mapping, Florence, Italy, 2006.
• Clouchoux C, Coulon O, Operto G, Rivière D, Dauchot K, Sirigu A, Anton J-L, Cortical localization via hemisphere surface parameterization, Human Brain Mapping, Florence, Italy, 2006.

References on statistics on structural models

• Coulon O, Mangin J-F, Poline J-B, Zilbovicius M, Roumenov D, Samson Y, Frouin V, Bloch I, Structural Group Analysis of Functional Activation Maps, NeuroImage, vol. 11(6), pp. 767-782, 2000.
• Operto G, Bulot R, Anton J-L, Coulon O, Projection of fMRI data onto the cortical surface using anatomically-informed convolution kernels, to appear in Neuroimage, 2007.
• Xavier Pennec. Statistical Computing on Manifolds for Computational Anatomy. Habilitation à diriger des recherches, Université Nice Sophia-Antipolis, December 2006.
• Pierre Fillard, Vincent Arsigny, Xavier Pennec, Kiralee M. Hayashi, Paul M. Thompson, and Nicholas Ayache. Measuring Brain Variability by Extrapolating Sparse Tensor Fields Measured on Sulcal Lines. Neuroimage, 34(2):639-650, January 2007. Note: Also as INRIA Research Report 5887, April 2006. PMID: 17113311.
• Pierre Fillard, Vincent Arsigny, Xavier Pennec, Paul M. Thompson, and Nicholas Ayache. Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability. In Gary Christensen and Milan Sonka, editors, Proc. of Information Processing in Medical Imaging 2005 (IPMI'05), volume 3565 of LNCS, Glenwood springs, Colorado, USA, pages 27-38, July 2005. Springer.
• Natasha Lepore, Caroline Brun, Xavier Pennec, Yi-Yu Chou, Oscar L. Lopez, Howard J. Aizenstein, James T. Becker, Arthur W. Toga, and Paul M. Thompson. Mean Template for Tensor-Based Morphometry using Deformation Tensors. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), Brisbane, Australia, October 2007. Note: To appear.

References on mathematical foundations

• S. Allassonniere, Y. Amit, A. Trouve. Toward a coherent statistical framework for dense deformable template estimation (Publié chez JRSS en 2007 Vol. 69, Part 1)
• S. Allassonniere, E. Kuhn, A. Trouve. Bayesian Deformable Models Building Via a Stochastic Approximation Algorithm: A Convergence Study. Submitted.
• Vincent Arsigny, Olivier Commowick, Xavier Pennec, and Nicholas Ayache. A Log-Euclidean Framework for Statistics on Diffeomorphisms. In Proc. of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Part I, number 4190 of LNCS, pages 924-931, 2-4 October 2006.
• Xavier Pennec. Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements. Journal of Mathematical Imaging and Vision, 25(1):127-154, July 2006. Note: A preliminary appeared as INRIA RR-5093, January 2004.
• Xavier Pennec, Pierre Fillard, and Nicholas Ayache. A Riemannian Framework for Tensor Computing. International Journal of Computer Vision, 66(1):41-66, January 2006. Note: A preliminary version appeared as INRIA Research Report 5255, July 2004.

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