Publications (Laurent Younes)



Parameter Estimation for Markov Random Fields:

  1. L. Younes: Couplage de l'estimation et du recuit pour des champs de Gibbs. C. R. Acad. Sc. Paris, t. 303 , série I, No. 13 (1986).
  2. L. Younes: Estimation and annealing for Gibbsian fields. Annales de l'Institut Henri Poincaré, vol 24 No 2 269-294 (1988)
  3. L. Younes: Parameter estimation for imperfectly observed Gibbsian fields. Prob. Theory and Rel. fields 82, 625--645 (1989)
  4. L. Younes: Maximum likelihood estimation for Gibbs fields. Spatial Statistics and Imaging: Proceedings of an AMS-IMS-SIAM Joint Summer Research Conference , A. Possolo (editor), Lecture Notes-Monograph Series, Institute of Mathematical Statistics, Hayward, California (1991)
  5. L. Younes: Parameter estimation for imperfectly observed Gibbs fields and some comments on Chalmond's EM Gibssian algorithm . Proceedings of ``stochastic models, statistical methods and algorithms in image analysis'' , Ed. P. Barone and A. Frigessi, Lecture Notes in Statistics, Springer (1992)
  6. A. Frigessi, C.-R. Hwang, L. Younes: Optimal Spectral Structure of Reversible Stochastic Matrices, Monte Carlo Methods and the Simulation of Markov Random Fields, Annals of Applied probability , Vol 2. No 3, 610-628 (1992)
  7. L. Younes: Stochastic gradient strategies for Markov random fields. SPIE conference on Bayesian inference for inverse problems (1998)
  8. L. Younes: On the convergence of Markovian stochastic algorithms with rapidly decreasing ergodicity rates Stochastics and Stochastics Reports, 65, 177-228 (1999)
  9. L. Younes: Calibrating parameters of cost functionals in Computer vision (proceedings of ECCV 2000)  


Synchronous random fields and Boltzman Machines

  1. R. Azencott, A. Doutriaux, L. Younes: Synchronous Boltzmann machines and outline based image classification, in Proc. Int. Neural Network Conf. Paris Juil. 90 , IEEE, Kluwer Ac. Publ., Boston (1990)
  2. R. Azencott, A. Doutriaux, L. Younes: Synchronous Boltzmann machines and curve identification tasks. Network~: computations in Neural Networks. 4 461-480 (1993)
  3. L. Younes: Synchronous Boltzmann machines can be universal estimators Applied Mathematics Letters Vol 9 No 3 (1996)
  4. L. Younes: Synchronous Image restoration. Proceedings of the 3rd European Conference of Computer Vision, Stockholm J.O. Eklundh (Ed.), Lecture Notes in Comp. Sci. 80 1, Springer Verlag (1994)
  5. L. Younes: Learning algorithms for Boltzmann machines and extended models Proceedings of the 12th ICPR, Jerusalem (1994)
  6. L. Younes: Synchronous modeling in Image analysis proceedings du congres de l'institut international de statistique, Pekin, 1995 .
  7. L. Younes: Representation of Gibbs fields by synchronous random fields . Markov Processes and Related fields 2, 285-316 (1996)
  8. L. Younes: Synchronous random fields and Image restoration.  IEEE TPAMI 20, 4, 1998
  9. L. Younes: Monte Carlo maximization of likelihood: A convergence study (Unpublished 2000)  


Shapes and Diffeomorphisms (methods for Computational Anatomy)

  1. L. Younes: A distance for elastic matching in object recognition (summary) (Comptes Rendus de l'Académie des Sciences ).
  2. R. Azencott, F. Coldefy, L. Younes: A distance for elastic matching in object recognition Proceedings of 12th ICPR (1996)
  3. L. Younes: Computable elastic distances between shapes , SIAM Journal of Applied Mathematics (1998)
  4. L. Younes: Optimal matching between shapes via elastic deformations Image and Vision Computing 17, 381-389 (1999)
  5. D. Béréziat, I. Herlin, L. Younes: Motion detection methods applied to meteorological images (1997)
  6. D. Béréziat, I. Herlin, L. Younes: Motion estimation using a volume conservation hypothesis (ICASSP 1999)
  7. D. Béréziat, I. Herlin, L. Younes: A Generalized Optical Flow Constraint and its Physical Interpretation (CVPR 2000)
  8. V. Camion, L. Younes: Geodesic Interpolating Splines (EMMCVPR 2001)
  9. M. Miller, L. Younes: Group actions, homeomorphisms, and matching: a general framework (International Journal of Computer Vision, 2001)
  10. A. Trouvé, L. Younes: On a class of diffeomorphic matching problems in one dimension (SIAM Journal on Control and Optimization)   
  11. A. Trouvé, L. Younes: Diffeomorphic matching problems in one dimension: designing and minimizing matching functionals (proceedings ECCV 2000)
  12. M. Miller, A. Trouve, L. Younes: On the metrics and Euler-Lagrange equations of Computational Anatomy (ARBE 2002)
  13. M. F. Beg, M. Miller, A. Trouve, L. Younes: Computing metrics on anatomical shapes in computational anatomy (joint EMBS/BMES conference 2002)
  14. M. F. Beg, M. Miller, A. Trouve, L. Younes: Computational anatomy: computing metrics on anatomical shapes (ISBI 2002)
  15. M. Miller, A. Trouve, L. Younes: The metric spaces, Euler equations and normal image motions of computational anatomy (ICIP 2003)
  16. M. F. Beg, M. Miller, A. Trouve, L. Younes:: The Euler-Lagrange equations for interpolating sequence of landmark datasets (MICCAI 2003)
  17. A. Trouvé, L. Younes:  Local geometry of deformable templates (SIAM J. Mathematical Analysis 2005)  
  18. M. Miller, A. Trouvé, L. Younes:  Geodesic shooting for computational anatomy (JMIV 2006)  
  19. A. Trouvé, L. Younes: Metamorphoses Through Lie Group Action (FCM 2005).
  20. J. Glaunès, A. Trouvé, L. Younes: Diffeomorphic matching of distributions: A new approach for unlabelled point-sets and sub-manifolds matching (CVPR 2004).
  21. L. Garcin, L. Younes: Geodesic Matching with Free Extremities (JMIV 2006).
  22. L. Garcin, A. Rangarajan, L. Younes: Non-rigid Registration of Shapes via Diffeomorphic Point Matching (ICIP 2004).
  23. L. Garcin, L. Younes: Geodesic Image Matching: A Wavelet Based Energy Minimization Scheme (EMMCVPR'05).
  24. M. F. Beg, M. Miller, A. Trouve, L. Younes: Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms (IJCV 2005)
  25. L. Younes: Combining Geodesic Splines and Affine Transformations (IEEE Trans. Image Processing 2006).
  26. M. Vaillant, M. Miller and A. Trouvé, L. Younes: Statistics on Diffeomorphisms via Tangent Space Representation, Neuroimage (2005).
  27. D. Holm, T. Ratnanather, A. Trouvé, L. Younes: Soliton Dynamics in Computational Anatomy, Neuroimage (2005).
  28. Y. Cao, M. Miller, R. Winslow, L. Younes: Large Deformation Diffeomorphic Metric Matching of Vector Fields, (IEEE Trans. Medical Imaging)
  29. Y. Cao, M. Miller, R. Winslow, S. Mori, L. Younes: Diffeomorphic Matching of Diffusion Tensor Images (CVPR 2005)
  30. Y. Cao, M. Miller, R. Winslow, L. Younes: Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations (ICCV 2005)
  31. J. Glaunès, A. Trouvé, L. Younes: Modeling Planar Shape Variation via Hamiltonian Flows of Curves (2007)
  32. L. Younes: Jacobi Fields in Groups of Diffeomorphisms and Applications (Quarterly J. of Applied Math, 2006)
  33. J. Glaunes, A. Qiu, M. Miller and L. Younes. "Large Deformation Diffeomorphic Metric Curve Mapping". International Journal of Computer Vision (2008)
  34. Zhang, S., Ratnanather, T., Younes, L. and Zweck, J. . "Diffeomorphic surface flows: a novel method of surface evolution". SIAM J. Applied Math (2007)
  35. L. Younes, M. Miller, A. Qiu and R. Winslow. "Transport of Relational Structures in Groups of Diffeomorphisms". Journal of Mathematical Imaging and Vision (2007)
  36. M. F. Beg, R. Dickie, G. Golds, L. Younes: Consistent Realignment of 3D Diffusion Tensor MRI Eigenvectors (SPIE 2007)
  37. Laurent Younes, Peter Michor, Jayant Shah and David Mumford. "A Metric on Shape Space with Explicit Geodesics". Atti Accad. Naz. Lincei Cl. Sci. Fis. Mat. Natur. Rend. Lincei (9) Mat. Appl (2007)
  38. Jun Ma, Michael I. Miller Alain Trouvé and Laurent Younes. "Bayesian template estimation in computational anatomy". Neuroimage (2008)
  39. D. Holm, A. Trouvé and L. Younes . "The Euler Poincare Theory of metamorphosis". Quartely J. Applied Mathematics (2009)
  40. L. Younes, F. Arrate, M. Miller: Evolutions equations in computational anatomy (Neuroimage 2009)
  41. H-F. Chou and L. Younes. "Smoothing Directional Vector fields using dual norms". SIAM J. Image Analysis (2008)
  42. A. Qiu, M. Albert, L. Younes, M. Miller: Time sequence diffeomorphic metric mapping and parallel transport track shape changes (Neuroimage 2009)
  43. C, Ceritoglu et al. : Multi-contrast large deformation diffeomorphic metric mapping for diffusion tensor imaging (Neuroimage 2009)
  44. F. Arrate, J. T. Ratnanather and L. Younes: Diffeomorphic Active Contours, Siam Journal on Imaging Sciences (2010)
  45. J. Ma, M. Miller, L. Younes: A bayesian generative model for surface template estimation, Int J Biomed Imaging (2010)
  46. L. Younes: Shapes and Diffeomorphisms, Springer, 2010.
  47. A. Trouvé and L. Younes: Shape Spaces, in Handbook of Mathematical Methods in Imaging (O. Schetzer ed.), Springer, 2011


Computational Anatomy

  1. P. Helm et al.: Ex Vivo 3D Diffusion Tensor Imaging and Quantification of Cardiac Laminar Structure (Magn. Res. Imag 2005) P. Helm et al.: Evidence of Structural Remodeling in the Dyssynchronous Failing Heart (Circulation Research 2006)
  2. L. Wang, M. F. Beg, J. T. Ratnanather, C. Ceritoglu, L. Younes, J. Morrisk, J. Csernansky, M. Miller: "Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer Type". IEEE Trans. Med Imaging (2007)
  3. Hao Huang, Akria Yamamoto, Mir Ahamed Hossain, Laurent Younes, Susumu Mori. "Quantitative Cortical Mapping of Fractional Anisotropy in Developing Rat Brains". Journal of Neuroscience (2007)
  4. A. Qiu et al. : Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia (Neuroimage 2007)
  5. A. Qiu, L. Younes, M. Miller, J. Csernansky. "Parallel transport in diffeomorphisms distinguishes the time-dependent pattern of hippocampal surface deformation due to healthy aging and the dementia of the Alzheimer's type". Neuroimage (2008)
  6. A. Qiu et al. : Neuroanatomical asymmetry patterns in individuals with schizophrenia and their non-psychotic siblings (Neuroimage 2009)
  7. W, Zhong et al.: Landmark-referenced voxel-based analysis of diffusion tensor images of the brainstem white matter tracts. Application in patients with middle cerebral artery stroke (Neuroimage 2009)
  8. S. Ardekani et al.: Computational Method for Identifying and Quantifying Shape Features of Human Left Ventricular Remodeling (Annals Biomed. Eng. 2009)  
  9. S. Ardekani, R.G. Weiss, A.C. Lardo et al. Cardiac Motion Analysis in Ischemic and NonIschemic Cardyomyopathy using Parallel Transport, ISBI 2009
  10. C. Vidal, J. Hewitt, S. Davis et al.: Template estimation with missing parts: application to the segmaentation of M. Tuberculosis infected lungs. ISBI 2009



Computational Biology

  1. E. Yoruk, D. Geman, M. Ochs, L. Younes: A Comprehensive Statistical Model for Cell Signaling, IEEE/ACM Trans Comput Biol Bioinform (2010)


Computer Vision and Object Recognition

  1. R. Azencott,  J. Wang, L. Younes: Texture classification using windowed Fourier filters (IEEE TPAMI) (1995).
  2. R. Azencott, L. Younes: An energy minimization method for matching and comparing structured object representations , Proceedings of EMMCVPR'97.
  3. D. Bitouk, M. Miller, L. Younes: Empirically generated metric space for ATR in clutter (SSP 2002).
  4. D. Bitouk, M. Miller, L. Younes: Asymptotic performance analysis for object recognition in clutter (SPIE 2003)
  5. L. Lu, G. Hager and L. Younes: A three-tiered approach for articulated object action modeling and recognition (NIPS 2004)
  6. D. Bitouk, M. Miller, L. Younes: Clutter invariant ATR (PAMI 2005)
  7. T. Feldman, L. Younes: Homeostatic Image Perception: an Artificial System(CVIU 2006).
  8. S. Gadat, L. Younes: A stochastic algorithm for feature selection in pattern recognition(JMLR 2007).