Équipe IMAGeS : Images, Modélisation, Apprentissage, Géométrie et Statistique

Christian Heinrich

De Équipe IMAGeS : Images, Modélisation, Apprentissage, Géométrie et Statistique
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Professor (CNU 61)
ICube - MIV
Pôle API
300, Bd Sébastien Brant
BP 10413
67412 Illkirch CEDEX - France

Room : C209
Tel : 03 68 85 44 88
Fax : 03 68 85 44 45

Email : christian (dot) heinrich (at) unistra (dot) fr

Teaching
Signal processing, probability, statistics, inverse problems.


Current research activity

  • High-dimensional statistics for medical image analysis.
    Application to shape analysis, diffusion-weighted MRI data analysis, brain connectivity and networks study.
    In collaboration with Stéphane Kremer (IMIS team, iCube), Félix Renard (GIPSA lab), Sophie Achard (GIPSA lab), Chantal Delon-Martin (Grenoble Institut des Neurosciences (GIN)), and Francis Schneider (Strasbourg University Hospital).

    Related co-advised theses:
    F. Renard, Création et utilisation d'atlas en IRM de diffusion. Application à l'étude des troubles de la conscience., PhD Thesis, University of Strasbourg, 2011
    G. Sfikas, Modèles statistiques non linéaires pour l'analyse de formes. Applications à l'imagerie cérébrale., PhD Thesis, University of Strasbourg, 2012
    Th. Gkamas, Traitement d'images de résonance magnétique de diffusion: construction de modèles statistiques pour la détermination de facteurs pronostics d'éveil dans le cas du coma, ongoing work.
  • Inverse problems.
    Appilcation to polarimetric imaging, for biological tissue analysis.
    In collaboration with Jihad Zallat (TRIO team, iCube).
    Imagerie Physique et Systèmes (IPS) research axis.

Publications

  • S. Faisan, Ch. Heinrich, G. Sfikas, J. Zallat, Estimation of Mueller matrices using non-local means filtering, Optics Express, vol. 21, n. 4, pp. 4424-4438, 2013
  • S. Achard, C. Delon-Martin, P. Vertes, F. Renard, M. Schenck, F. Schneider, Ch. Heinrich, S. Kremer, E. Bullmore, Hubs of brain functional networks are radically reoarganized in comatose patients, Proceedings of the National Academy of Sciences of the United States of America, vol. 109, n. 50, pp. 20608-20613, 2012
  • S. Faisan, Ch. Heinrich, F. Rousseau, A. Lallement, J. Zallat, Joint filtering estimation of Stokes vector images based on a nonlocal means approach, Journal of the Optical Society of America A, vol. 29, n. 9, pp. 2028-2037, 2012
  • V. Noblet, Ch. Heinrich, F. Heitz, J.-P. Armspach, An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration, Pattern Recognition Letters, vol. 33, n. 3, pp. 283-290, 2012
  • S. Chatelin, C. Deck, F. Renard, S. Kremer, Ch. Heinrich, J.-P. Armspach, R. Willinger, Computation of axonal elongation in head trauma finite element simulation, Journal of the Mechanical Behavior of Biomedical Materials, vol. 4, n. 8, pp. 1905-1919, 2011
  • G. Sfikas, Ch. Heinrich, J. Zallat, Ch. Nikou, N. Galatsanos, Recovery of polarimetric Stokes images by spatial mixture models, Journal of the Optical Society of America A, vol. 28, n. 3, pp. 465-474, 2011
  • R. Ranta, V. Louis-Dorr, Ch. Heinrich, D. Wolf, F. Guillemin, Digestive activity evaluation by multichannel abdominal sounds analysis, IEEE Transactions on Biomedical Engineering, vol. 57, n. 6, pp. 1507-1519, 2010
  • G. Sfikas, Ch. Nikou, N. Galatsanos, Ch. Heinrich, Spatially varying mixtures incorporating line processes for image segmentation, Journal of Mathematical Imaging and Vision, vol. 36, n. 2, pp. 91-110, 2010
  • V. Noblet, Ch. Heinrich, F. Heitz, J.-P. Armspach, Accurate inversion of 3-D transformation fields, IEEE Transactions on Image Processing, vol. 17, n. 10, pp. 1963-1968, 2008
  • J. Zallat, Ch. Heinrich, M. Petremand, A Bayesian approach for polarimetric data reduction: the Mueller imaging case, Optics Express, vol. 16, n. 10, pp. 7119-7133, 2008
  • J. Zallat, Ch. Heinrich, Polarimetric data reduction: a Bayesian approach, Optics Express, vol. 15, n. 1, pp. 83-96, 2007
  • V. Noblet, Ch. Heinrich, F. Heitz, J.-P. Armspach, Retrospective evaluation of a topology preserving non-rigid registration method, Medical Image Analysis, vol. 10, n. 3, pp. 366-384 2006
  • R. Ranta, V. Louis-Dorr, Ch. Heinrich, D. Wolf, Iterative wavelet-based denoising methods and robust outlier detection, IEEE Signal Processing Letters, vol. 12, n. 8, pp. 557-560, 2005
  • V. Noblet, Ch. Heinrich, F. Heitz, J.-P. Armspach, 3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization, IEEE Transactions on Image Processing, vol. 14, n. 5, pp. 553-566, 2005
  • R. Ranta, Ch. Heinrich, V. Louis-Dorr, D. Wolf, Interpretation and improvement of an iterative wavelet-based denoising method, IEEE Signal Processing Letters, vol. 10, n. 8, pp. 239-241, 2003
  • Ch. Heinrich, G. Demoment, Minimization of strictly convex functions: an improved optimality test based on Fenchel duality, Inverse Problems, vol. 16, n. 3, pp. 795-810, 2000