Last modified on : Tue, 27 Sep 11
[1] R. Deriche and J. F. Abramatic. Design of 2-D recursive filters using singular value decomposition technique. In Proceeding ICASSP, Volume 3, pages 2046–2049, Paris, May 1982.
[2] R. Deriche. Separable Recursive Filtering for Efficient Multi-Scale Edge Detection. In Proceeding International Workshop on Machine Vision and Machine Intelligence, pages 18–23, Tokyo, February 2– 5 1987.
[3] R. Deriche, J. P. Cocquerez, and G. Almouzny. An efficient method to build an early image description. In Proceedings of the 9th International Conference On Pattern Recognition, volume 1, pages 588–590, Rome, November 14–17 1988.
[4] Olivier Faugeras, Rachid Deriche, Nicholas Ayache, Francis Lustman, and Ercole Giuliano. Depth and motion analysis : the machine being developed within esprit project 940. In Proceedings of the IAPR Workshop on Computer Vision (Special Hardware and Industrial Applications), pages 35–44, Tokyo, Japan, October 1988.
[5] Giorgio Toscani, Rachid Deriche, and Olivier Faugeras. 3D Motion Estimation Using a Token Tracker. In Proceedings of the IAPR Workshop on Computer Vision (Special Hardware and Industrial Applications), Tokyo, Japan, pages 257–261, October 1988.
[6] Olivier Faugeras, Rachid Deriche, and Nassir Navab. From optical flow of lines to 3-D motion and structure. In Proceedings IEEERSJ International Workshop on Intelligent Robots and Systems ’89, pages 646–649. IEEE Industrial Electronics Society, Robotics Society of Japan, 1989. Tsukuba, Japan.
[7] Giorgio Toscani, R´egis Vaillant, Rachid Deriche, and Olivier D. Faugeras. Stereo camera calibration using the environment. In Proceedings of the 6th Scandinavian Conference on Image Analysis, SCIA89, pages 953–960, 1989.
[8] R. Vaillant, R. Deriche, and O. Faugeras. 3D vision on the parallel machine capitan. In Int’l Workshop on Industrial Application of Machine Intelligence and Vision, Tokyo, Japan, April 10–12 1989.
[9] O. D. Monga and R. Deriche. 3-D Edge Detection Using Recursive Filtering : Application to Scanner Images. In Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition, pages 28–35, San-Diego,California, June 4–8 1989.
[10] R. Deriche and G. Giraudon. Accurate corner detection : An analytical study. In Proceedings of the 3rd International Conference on Computer Vision, pages 66–70, Osaka, Japan, December 1990. IEEE Computer Society Press.
[11] O. Monga, R. Deriche, G. Malandain, and J.P Cocquerez. 3D Edge Detection by Recursive Filtering and Edge Tracking. In 10th International Conference on Pattern Recognition (ICPR), Vol 1, pages 652–654, Atlantic City, June 16–21 1990.
[12] O. Monga, R. Deriche, G. Malandain, and J. P. Cocquerez. Recursive Filtering and Edge Closing : Two Primary Tools for 3D Edge Detection. In Proceedings First European Conference on Computer Vision, pages 56–65, Antibes,France, April 1990.
[13] R. Deriche and O.D. Faugeras. 2D-curves matching using high curvatures points : Applications to stereovision. In Proc. 10th Int’l Conf. Pattern Recog., volume 1, pages 240–242, Atlantic City, June 16– 21 1990.
[14] Rachid Deriche and Olivier Faugeras. Tracking line segments. In Proceedings of the 1st ECCV, pages 259–268. Springer–Verlag, April 1990.
[15] N. Navab, R. Deriche, and O.D. Faugeras. Recovering 3D motion and structure from stereo and 2D token tracking cooperation. In Proc. Third Int’l Conf. Comput. Vision, pages 513–517, Osaka, Japan, December 1990. IEEE.
[16] G. Giraudon and R. Deriche. On Corner and Vertex Detection. In Computer Vision and Pattern Recognition, pages 650–655, Lahaina, Maui, Hawai, June 3–6 1991.
[17] Rachid Deriche, R´egis Vaillant, and Olivier Faugeras. From noisy edge points to 3D reconstruction of a scene : A robust approach and its uncertainty analysis. In Proceedings of the 7th Scandinavian Conference on Image Analysis, pages 225–232, Alborg, Denmark, August 1991.
[18] B. Bascle and R. Deriche. Feature extraction using parametric snakes. In Proceeding of the 11th IAPR International Conference On Pattern Recognition, Conference C, pages 659–663, The Hague, The Netherlands, 1992.
[19] R. Deriche. Recursively Implementing the Gaussian and Its Derivatives. In Proc. Second International Conference On Image Processing, pages 263–267, Singapore, September 7–11 1992.
[20] Luc Robert, Rachid Deriche, and Olivier Faugeras. Dense depth map reconstruction using multiscale regularization. In Proceedings of the International Conference on Image Processing, pages 123–127, Singapore, September 1992.
[21] L. Robert, R. Deriche, and O.D. Faugeras. Dense depth recovery from stereo images. In Proceedings of the European Conference on Artificial Intelligence, pages 821–823, Vienna, Austria, August 1992.
[22] R. Deriche and T. Blaszka. Recovering and characterizing image features using an efficient model based approach. In Proceedings of the International Conference on Computer Vision and Pattern Recognition, pages 530–535, New-York, June 1993. IEEE Computer Society, IEEE.
[23] B. Bascle and R. Deriche. Energy based methods for 2D curve tracking, reconstruction, and refinement of 3D curves and applications. In SPIE Proceedings, Vol. 2031. Geometric Methods in Computer Vision, San-Diego, California,USA, July 12–13 1993.
[24] B. Bascle and R. Deriche. Stereo matching, reconstruction and refinement of 3-D curves using deformable contours. In Proceedings of the 4th International Conference On Computer Vision, Berlin, Germany, 1993.
[25] Quang-Tuan Luong, Rachid Deriche, Olivier Faugeras, and Th´eodore Papadopoulo. On determining the fundamental matrix : analysis of different methods and experimental results. In Israelian Conf. on Artificial Intelligence and Computer Vision, 1993. A longer version is INRIA Tech Report RR-1894.
[26] T. Blaszka and R. Deriche. A model based method for characterization and location of curved image features. In Inria Research Report, number 2451, 1994.
[27] O. Monga, R. Lengagne, and R. Deriche. Crest Lines Extraction in Volume 3D Medical Images : A Multi-Scale Approach. In Proceeding of the 12th IAPR International Conference On Pattern Recogni- tion, Vol 1, volume 1, pages 553–555, Jerusalem,Israel, October 9–13 1994.
[28] O. Monga, R. Lengagne, and R. Deriche. Extraction of the Zero-Crossings of the Curvature Derivatives in Volumic 3D Medical Images : : A Multi-Scale Approach. In Proceedings IEEE Conference On Computer Vision and Pattern Recognition, pages 852–855, Seattle,Washington, June 21–23 1994.
[29] B. Bascle, P. Bouthemy, R. Deriche, and F. Meyer. Tracking complex primitives in an image sequence. In Proceedings of the 12th IAPR International Conference On Pattern Recognition, pages 426–431, Jerusalem, Israel, October 1994.
[30] R. Deriche, Z. Zhang, Q.T. Luong, and O. Faugeras. Robust recovery of the epipolar geometry for an uncalibrated stereo rig. In J-O. Eklundh, editor, Proceedings of the 3rd European Conference on Computer Vision, volume 800-801 of Lecture Notes in Computer Science, pages 567–576, Vol. 1, Stockholm, Sweden, May 1994. Springer–Verlag.
[31] Z. Zhang, R. Deriche, O. Faugeras, and Q.T. Luong. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. In Proc. 3rd Int’l Conf. Automation Robotics Computer Vision, pages 1102–1106, Singapore, November 1994.
[32] Z. Zhang, R. Deriche, Q.T. Luong, and O. Faugeras. A robust approach to image matching : Recovery of the epipolar geometry. In Proc. International Symposium of Young Investigators on Information\Computer\Control, pages 7–28, Beijing, China, February 1994.
[33] Thierry Blaszka and Rachid Deriche. A model based method for characterization and location of curved image features. In Proceedings of the 8th ICIAP, San-Remo, Italy, September 1995.
[34] B. Bascle and R. Deriche. Region tracking through image sequences. In Proceedings of the 5th Inter- national Conference on Computer Vision, pages 302–307, June 1995.
[35] M. Lee, G. Medioni, and R. Deriche. Structure and motion from a sparse set of views. In IEEE International Symposium on Computer Vision, Biltmore Hotel, Coral Gables , Florida , USA, November 1995.
[36] Nielsen Mads and Deriche Rachid. Binocular dense depth reconstruction using isotropy constraint. In Gunilla Borgefors, editor, Proceedings of the 9th SCIA, volume 1, Uppsala, Sweden, June 1995.
[37] Z. Zhang, O. Faugeras, and R. Deriche. Calibrating a binocular stereo through projective reconstruction using both a calibration object and the environment. In R. Mohr and C. Wu, editors, Proc. Europe- China Workshop on Geometrical modelling and Invariants for Computer Vision, pages 253–260, Xi’an, China, April 1995.
[38] R. Deriche, P. Kornprobst, and G. Aubert. Optical flow estimation while preserving its discontinuities : A variational approach. In Proceedings of the 2nd Asian Conference on Computer Vision, volume 2, pages 71–80, Singapore, December 1995.
[39] L. Robert and R. Deriche. Dense depth map reconstruction using a multiscale regularization approach which preserves discontinuities. In S. Efstratiadis et al., editor, Proceedings of the International Work- shop on Stereoscopic and Three-Dimensional Imaging, pages 32–39. The European Project RACE 2045-DISTIMA, September 1995.
[40] Mads Nielsen, Luc Florack, and Rachid. Deriche. Regularization, scale-space, and edge detection filters. In Bernard Buxton, editor, Proceedings of the 4th European Conference on Computer Vision, Cambridge, UK, April 1996.
[41] Rachid Deriche, Christophe Bouvin, and Olivier Faugeras. A level-set approach for stereo. In First Annual Symposium on Enabling Technologies for Law Enforcement and Security – SPIE Conference 2942 : Investigative Image Processing., Boston, Massachusetts USA, November 1996.
[42] Rachid Deriche and Olivier D. Faugeras. A level-set based approach for stereo. In Leonid I. Rudin and Simon K. Bramble, editors, Investigative Image Processing, Proceedings of the Proceedings of the International Society for Optical Engineering. SPIE – The international Society for Optical Engineering, November 1996.
[43] P. Kornprobst, R. Deriche, and G. Aubert. Image restoration via PDE’s. In First Annual Symposium on Enabling Technologies for Law Enforcement and Security – SPIE Conference 2942 : Investigative Image Processing., Boston, Massachusetts, USA, November 1996.
[44] P. Kornprobst, R. Deriche, and G. Aubert. Estimation du flot optique avec pr´eservation des dicontinuit ´es : Une approche variationnelle. In Journ´ees ORASIS’96, pages 81–86, May 1996.
[45] L. Lucido, J. Opderbecke, V. Rigaud, R. Deriche, and Z. Zhang. An integrated multiscale approach for terrain referenced underwater navigation. In Proc. IEEE International Conference on Image Pro- cessing, Lausanne, September 1996.
[46] L. Lucido, J. Opderbecke, V. Rigaud, R. Deriche, and Z. Zhang. A multiscale approach for terrain referenced underwater navigation. In Proc. IEEE Int, Symp. on Time-Frequency and Time-Scale Analysis, Paris, June 1996.
[47] L. Lucido, J. Opderbecke, V. Rigaud, R. Deriche, and Z. Zhang. A terrain referenced underwater positioning using sonar bathymetric profiles and multiscale analysi. In Proc. OCEANS 96 MTS-IEE, Fort Lauderdale, Florida (US), September 1996.
[48] L. Lucido, J. Opderbecke, V. Rigaud, R. Deriche, and Z. Zhang. Underwater navigation by terrain matching. In Proc. World Automation Congress, ISRAM’96, Montpellier.., May 1996.
[49] L. Lucido, B. Popescu, J. Opderbecke, V. Rigaud, R. Deriche, and Z. Zhang. Segmentation of bathymetric profiles and terrain matching for underwater vehicle navigation. In Proceedings 6th IARP Workshop on Underwater Robotics, Toulon, March 1996.
[50] L. Robert and R. Deriche. Dense depth map reconstruction : A minimization and regularization approach which preserves discontinuities. In Bernard Buxton, editor, Proceedings of the 4th European Conference on Computer Vision, Cambridge, UK, April 1996.
[51] I. Zoghlami, O. Faugeras, and R. Deriche. Using geometric corners to build a 2d mosaic from a set of images. In Proceedings of the International Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, June 1997. IEEE Computer Society, IEEE.
[52] P. Kornprobst, R. Deriche, and G. Aubert. Nonlinear operators in image restoration. In Proceedings of the International Conference on Computer Vision and Pattern Recognition, pages 325–331, San Juan, Puerto Rico, June 1997. IEEE Computer Society, IEEE Computer Society.
[53] N. Paragios and R. Deriche. Detection of Moving Objects : A Level Set Approach. In Proceedings of SIRS’97, Stockholm, Sweden, July 1997.
[54] N. Paragios and R. Deriche. Detecting multiple moving targets using deformable contours. In Inter- national Conference Image Processing, Oct. 1997., volume II of III, pages 183–186, Santa Barbara, California, October 1997.
[55] P. Montesinos, V. Gouet, and R. Deriche. Differential invariants for color images. In 14th International Conference on Pattern Recognition, Brisbane, Australia, August 1998.
[56] Rachid Deriche, Christophe Bouvin, and Olivier. Faugeras. Front propagation and level-set approach for geodesic active stereovision. In Third Asian Conference On Computer Vision, Bombay, India, January 1998.
[57] Rachid Deriche, Christophe Bouvin, and Olivier. Faugeras. Front propagation and level-set approach for geodesic active stereovision. In IEEE International Workshop on Visual Surveillance, Bombay, India, January 1998.
[58] P. Kornprobst, R. Deriche, and G. Aubert. Image sequence restoration : A PDE based coupled method for image restoration and motion segmentation. In Hans Burkhardt and Bernd Neumann, editors, Pro- ceedings of the 5th European Conference on Computer Vision, volume II of Lecture Notes in Computer Science, pages 548–562, Freiburg, Germany, June 1998. Springer–Verlag.
[59] N. Paragios and R. Deriche. Geodesic Active Regions for Tracking. In proceedings of Computer Vision and Mobile Robotics workshop, Santorini, Greece, 1998.
[60] N. Paragios and R. Deriche. Geodesic active regions for texture segmentation. Technical Report 3440, INRIA, France, June 1998.
[61] N. Paragios and R. Deriche. A PDE-based level set approach for detection and tracking of moving objects. In Proceedings of the 6th International Conference on Computer Vision, pages 1139–1145, Bombay, India, January 1998. IEEE Computer Society, IEEE Computer Society Press.
[62] N. Paragios and R. Deriche. Geodesic active contours for supervised texture segmentation. In Pro- ceedings of the International Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, June 1999. IEEE Computer Society.
[63] N. Paragios and R. Deriche. Geodesic active regions for motion estimation and tracking. Technical Report 3631, INRIA, France, March 1999.
[64] N. Paragios and R. Deriche. Geodesic Active Regions for Motion Estimation and Tracking. In Pro- ceedings of the 7th International Conference on Computer Vision, Kerkyra, Greece, September 1999. IEEE Computer Society, IEEE Computer Society Press.
[65] N. Paragios and R. Deriche. Unifying boundary and region-based information for geodesic active tracking. In Proceedings of the International Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, June 1999. IEEE Computer Society.
[66] Manolis I.A. Lourakis and Rachid Deriche. Camera self-calibration using the singular value decomposition of the fundamental matrix. In Proc. of the 4th Asian Conference on Computer Vision, volume I, pages 403–408, January 2000.
[67] L. Alvarez, R. Deriche, and F. Santana. Recursivity and PDE’s in image processing . In Proceedings 15th International Conference on Pattern Recognition, volume I, pages 242–248, September 2000.
[68] Nikos Paragios and Rachid Deriche. Coupled geodesic active regions for image segmentation : a level set approach. In Proceedings of the 6th European Conference on Computer Vision, volume II, pages 224–240, Dublin, Ireland, June 2000.
[69] L. Alvarez, R. Deriche, J. Weickert, and J. S`anchez. Dense disparity map estimation respecting image discontinuities : A pde and scale-space based approach. In IAPR International Workshop on Machine Vision Applications, pages 423–427, Tokyo, Japan, November 2000. The University of Tokyo.
[70] L. Alvarez, R. Deriche, J. Weickert, and J. S`anchez. Dense disparity map estimation respecting image discontinuities : A pde and scale-space based approach . Research Report 3874, INRIA, January 2000. A longer cersion appeared in Journal of Visual Communication and Image Representation, Special Issue on Partial Differential Equations in Image Processing, Computer Vision and Computer Graphics, 2002.
[71] Manolis I.A. Lourakis and Rachid Deriche. Camera self-calibration using the Kruppa equations and the SVD of the fundamental matrix : The case of varying intrinsic parameters. Research Report 3911, INRIA Sophia-Antipolis, 2000.
[72] D. Tschumperl´e and R. Deriche. Constrained and unconstrained PDE’s for vector image restoration. In Ivar Austvoll, editor, Proceedings of the 10th Scandinavian Conference on Image Analysis, pages 153–160, Bergen, Norway, June 2001.
[73] D. Tschumperl´e and R. Deriche. Regularization of orthonormal vector sets using coupled PDE’s. In IEEE Workshop on Variational and Level Set Methods, pages 3–10, Vancouver, Canada, July 2001.
[74] D. Tschumperl´e and R. Deriche. Diffusion tensor regularization with constraints preservation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 948–953, Kauai Marriott, Hawaii, December 2001.
[75] C. Chefd’hotel, D. Tschumperl´e, R. Deriche, and O. Faugeras. Constrained flows on matrix-valued functions : application to diffusion tensor regularization. In Proceedings of ECCV’02, June 2002.
[76] M. Rousson and R. Deriche. A variational framework for active and adaptative segmentation of vector valued images. In Proc. IEEE Workshop on Motion and Video Computing, pages 56–62, Orlando, Florida, December 2002.
[77] F. Taillandier. and R. Deriche. Reconstruction of 3d linear primitives from multiples views for urban areas modelisation. In Symposium on Photogrammetric Computer Vision, Graz, September 2002.
[78] L. Alvarez, R. Deriche, T. Papadopoulo, and J. S`anchez. Symmetrical dense optical flow estimation with occlusion detection. In A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors, Proceedings of the 7th European Conference on Computer Vision, pages 721–735, Copenhagen, Denmark, May 2002. Springer–Verlag.
[79] P. Kornprobst, R. Peeters, M. Nikolova, R. Deriche, M. Ng, and P. Van Hecke. A superresolution framework for fmri sequences and its impact on resulting activation maps. In Medical Image Computing and Computer-Assisted Intervention-MICCAI2003, volume 2 of Lecture Notes in Computer Science, pages 117–125. Springer-Verlag, 2003.
[80] Mika¨el Rousson, Thomas Brox, and Rachid Deriche. Active unsupervised texture segmentation on a diffusion based space. In IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 699–704, Madison, Wisconsin (United States), June 2003.
[81] N. Sochen, R. Deriche, and L. Lopez-Perez. The beltrami flow over implicit manifolds. In Proceedings of the 9th International Conference on Computer Vision, 2003.
[82] D. Tschumperl´e and R. Deriche. Vector-valued image regularization with PDE’s : A common framework for different applications. In IEEE Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin (United States), June 2003.
[83] D. Tschumperl´e and R. Deriche. Variational frameworks for DT-MRI estimation, regularization and visualization. In Proceedings of the 9th International Conference on Computer Vision, pages 116–121, 2003.
[84] Thomas Brox, Mikael Rousson, Rachid Deriche, and Joachim Weickert. Unsupervised segmentation incorporating colour, texture, and motion. In 10th International Computer Analysis of Images and Patterns, number 2756 in Lecture Notes on Computer Science., pages 353–360. Springer Verlag, August 2003.
[85] R. Deriche, P. Kornprobst, M. Nikolova, and M. Ng. Half-quadratic regularization for MRI image restoration. In ICASSP’03, pages 585–588, 2003.
[86] Mika¨el Rousson, Thomas Brox, and Rachid Deriche. Segmentation active et non supervis´ee d’images textur´ees bas´ee sur le tenseur de structure non-lin´eaire. In TAIMA’2003, 2003.
[87] N. Sochen, R. Deriche, and L. Lopez-Perez. Variational beltrami flows over manifolds. In icip, volume 1, pages 861–864, 2003.
[88] D. Tschumperl´e and R. Deriche. DT-MRI images : Estimation, regularization and application. In J.C. Rodriguez R. Morena-Diaz Jr, A. Quesada-Arencibia, editor, EUROCAST’2003 : Cast and Tools for Complexity in Biological Phyical and Engineering Systems, 9th International Workshop on Computer Aided Systems Theory, 2003.
[89] D. Tschumperl´e and R. Deriche. Tensor field visualization with pde’s and application to dt-mri fiber visualization. In Proceedings of VLSM’03 (Variational and Level Set Methods), 2003.
[90] D. Tschumperl´e and R. Deriche. R´egularisation d’images multivalu´ees par edp : Un formalisme commun pour diff´erentes applications. In Proceedings of TAIMA’2003, Hammamet/Tunisie, 2003.
[91] C. Lenglet, R. Deriche, and O. Faugeras. Inferring white matter geometry from diffusion tensor MRI : Application to connectivity mapping. In T. Pajdla and J. Matas, editors, Proceedings of the 8th European Conference on Computer Vision, Prague, Czech Republic, May 2004. Springer–Verlag.
[92] R. Deriche, D. Tschumperl´e, and C. Lenglet. DT-MRI Regularization & Fiber Tractography. In Proceedings of ISBI. IEEE, April 2004.
[93] I. Kokkinos, R. Deriche, P. Maragos, and O. Faugeras. A biologically motivated and computationally tractable model of low and mid-level vision tasks. In Proceedings Eighth European Conference on Computer Vision,, May 2004.
[94] C. Lenglet, M. Rousson, and R. Deriche. Segmentation of 3D probability density fields by surface evolution : Application to diffusion MRI. In Proc. 7th Intl. Conf. on Medical Image Computing and Computer Assisted Intervention, September 2004.
[95] L. Lopez-Perez, R. Deriche, and N. Sochen. The beltrami flow over triangulated manifolds. In Milan Sonka, Ioannis A. Kakadiaris, and Jan Kybic, editors, Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis : ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004, Revised Selected Papers, volume 3117 of Lecture Notes in Computer Science, pages 135–144. Springer-Verlag Heidelberg, October 2004.
[96] M. Rousson, C. Lenglet, and R. Deriche. Level set and region based surface propagation for diffusion tensor mri segmentation. In Computer Vision Approaches to Medical Image Analysis (CVAMIA) and Mathematical Methods in Biomedical Image Analysis (MMBIA) Workshop, May 2004.
[97] Mikael Rousson, Nikos Paragios, and Rachid Deriche. Implicit active shape models for 3d segmentation in mr imaging. In Proc. 7th Intl. Conf. on Medical Image Computing and Computer Assisted Intervention. Springer-Verlag, September 2004.
[98] N. Wotawa, J.-P. Pons, L. Lopez, R. Deriche, and O. Faugeras. fMRI data smoothing constrained to the cortical surface : a comparison of the level-set and mesh-based approaches. In NeuroImage (HBM’04), 2004.
[99] Rodrigo De luis Garc´ıa, Rachid Deriche, Mikael Rousson, and Carlos Alberola-L´opez. Tensor processing for texture and colour segmentation. In 14th Scandinavian Conference on Image Analysis, pages 1117– 1127, June 2005.
[100] S. Lehericy, C. Lenglet, J. Doyon, H. Benali, P.F. Van de Moortele, G. Sapiro, O. Faugeras, R. Deriche, and K. Ugurbil. Activation shifts from the premotor to the sensorimotor territory of the striatum during the course of motor sequence learning. In 11th Annual Meeting of the Organization for Human Brain Mapping, June 2005.
[101] C. Lenglet, R. Deriche, O. Faugeras, S. Lehericy, and K. Ugurbil. A riemannian approach to diffusion tensors estimation and streamline-based fiber tracking. In 11th Annual Meeting of the Organization for Human Brain Mapping, June 2005.
[102] C. Lenglet, M. Rousson, R. Deriche, O. Faugeras, S. Lehericy, and K. Ugurbil. A riemannian approach to diffusion tensor images segmentation. In Information Processing in Medical Imaging, pages 591–602, 2005.
[103] D. Shafrir, N. Sochen, and R. Deriche. Regularization of mappings between implicit manifolds of arbitrary dimension and codimension. In Variational, Geometric, and Level Set Methods in Computer Vision : Third International Workshop, VLSM, volume 3752 of Lecture Notes in Computer Science, page 344. Springer-Verlag GmbH, October 2005.
[104] N. Wotawa, C. Lenglet, M. Roth, B. Nazarian, J.-L. Anton, R. Majhoub, R. Deriche, and O. Faugeras. Combined fMRI and DTI of the human low level visual cortex. In NeuroImage (HBM’05), 2005.
[105] C. A. Casta˜no-Moraga, C. Lenglet, R. Deriche, and J Ruiz-Alzola. A fast and rigorous anisotropic smoothing method for dt-mri. In Third IEEE International Symposium on Biomedical Imaging : From Nano to Macro, 2006.
[106] M. Descoteaux, E. Angelino, S. Fitzgibbons, and R. Deriche. Apparent diffusion coefficients from high angular resolution diffusion imaging : Estimation and applications. In SPIE Medical Imaging, February 2006.
[107] M. Descoteaux, E. Angelino, S. Fitzgibbons, and R. Deriche. A fast and robust odf estimation algorithm in q-ball imaging. In Third IEEE International Symposium on Biomedical Imaging : From Nano to Macro, April 2006.
[108] M. Descoteaux, R. Deriche, P. Savadjiev, J. Campbell, and K. Siddiqi. Analytic odf estimation and validation in q-ball imaging. In 12th annual meeting of the Organization for Human Brain Mapping (HBM), Florence, Italy, June 2006.
[109] Michael Fussenegger, Rachid Deriche, and Axel Pinz. A multiphase level set based segmentation framework with pose invariant shape priors. In Springer, editor, The Seventh Asian Conference on Computer Vision, Lecture Notes in Computer Science (LNCS), January 2006.
[110] Michael Fussenegger, Rachid Deriche, and Axel Pinz. Multiregion level set tracking with transformation invariant shape priors. In Springer, editor, The Seventh Asian Conference on Computer Vision, Lecture Notes in Computer Science (LNCS), January 2006.
[111] M. Fussenegger, R. Deriche, and A. Pinz. Multi region tracking with pose invariant shape priors. In 30th Workshop of the Austrian Association for Pattern Recognition, pages 133–142, 2006.
[112] C. Lenglet, M. Rousson, and R. Deriche. A statistical framework for dti segmentation. In Third IEEE International Symposium on Biomedical Imaging : From Nano to Macro, April 2006.
[113] E. Prados, C. Lenglet, J.P. Pons, N. Wotawa, R. Deriche, O. Faugeras, and S. Soatto. Control theory and fast marching methods for brain connectivity mapping. In Proc. IEEE Computer Society Confe- rence on Computer Vision and Pattern Recognition, June 2006.
[114] Alfred Anwander, Maxime Descoteaux, and Rachid Deriche. Probabilistic q-ball tractography solves crossings of callosal fibers. In Human Brain Mapping. The Organization for Human Brain Mapping, 2007. Chicago, Illinois, USA.
[115] Rachid Deriche and Maxime Descoteaux. Splitting tracking through crossing fibers : Multidirectional q-ball tracking. In 4th IEEE International Symposium on Biomedical Imaging : From Nano to Macro (ISBI’07), pages 756–759, 2007. Arlington, Virginia, USA.
[116] Maxime Descoteaux, Rachid Deriche, and Christophe Lenglet. Diffusion tensor sharpening improves white matter tractography. In SPIE Medical Imaging, February 2007. San Diego, California, USA.
[117] Maxime Descoteaux and Rachid Deriche. Sharpening improves clinically feasible q-ball imaging reconstructions. In Proceedings of the International Society of Magnetic Resonance in Medicine, page 906. International Society of Magnetic Resonance in Medicine, May 19–25 2007.
[118] Maxime Descoteaux and Rachid Deriche. Segmentation of q-ball images using statistical surface evolution. In Springer, editor, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume LNCS, November 2007.
[119] Maxime Descoteaux, Peter Savadjiev, Jennifer S. W. Campbell, G. Bruce Pike, Kaleem Siddiqi, and Rachid Deriche. Validation and comparison of analytical q-ball imaging methods. In 4th IEEE Inter- national Symposium on Biomedical Imaging : From Nano to Macro (ISBI’07), pages 1084–1087, April 2007. Arlington, Virginia, USA.
[120] Peter Savadjiev, Jennifer S. W. Campbell, Maxime Descoteaux, Rachid Deriche, G. Bruce Pike, and Kaleem Siddiqi. Disambiguation of complex subvoxel fibre configurations in high angular resolution fibre tractography. In Joint Annual Meeting ISMRM-ESMRMB, page 1477. International Society of Magnetic Resonance in Medicine, May 19–25 2007.
[121] Demian Wassermann and Rachid Deriche. Avoiding artifacts in spectral white matter fiber clustering and embedding. In Proceedings of the 13th Organization for Human Brain Mapping Annual Meeting, volume 36 of Neuroimage. Organization for the Human Brain Mapping, Elsevier, June 2007.
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