Christian Heinrich

Professor
ICube - IMAGeS
Pôle API
300, Bd Sébastien Brant
CS 10413
67412 Illkirch CEDEX - France

Room: C 209
Tel: 03 68 85 44 88

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

Teaching

Signal processing, probability, inverse problems.

Courses taught at Telecom Physique Strasbourg.

Current research activity

• Machine learning, manifold learning, and high-dimensional data analysis for medical applications.
  In collaboration with Félix Renard (GeodAIsics, Grenoble).

• Inverse problems and machine learning for optical imaging.
  Application to polarimetric imaging and biological tissue analysis.
  In collaboration with Jihad Zallat (TRIO team, ICube).

• Recent co-advised PhD 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, Modélisation statistique de tenseurs d'ordre supérieur en imagerie par résonance magnétique de diffusion., PhD Thesis, University of Strasbourg, 2015.
  A. Bozhok, Microscopies ptychographique de Fourier et de polarisation : modèles, méthodes, comparaison., PhD Thesis, University of Strasbourg, 2020.

Main current responsibilities

Responsable (avec Jacques Gangloff, ICube-AVR) du master IRIV (Imagerie, Robotique et Ingénierie pour le Vivant).

Responsable de l'option Images, Signaux et Science des Données (ISSD) (troisième année, Télécom Physique Strasbourg).

Responsable du parcours Images et Données (ID), master 2 IRIV.

Education - bio

Electrical engineering degree (Supélec, 1990)

Master's degree (Signal Processing, Université Paris-Sud, Orsay, and Supélec, 1994)

PhD degree (Signal Processing, Université Paris-Sud, Orsay, and Supélec, 1997)

Agregation degree (Applied Physics, 1998)

Habilitation degree (University of Strasbourg, 2008)

Professor (CNU 61, University of Strasbourg, since 2010)

Links

Stanford University

Department of Statistics, Stanford University

Stanford Institute for Computational & Mathematical Engineering

Selected publications

• B. Varin, J. Rehbinder, J. Dellinger, Ch. Heinrich, M. Torzynski, C. Spenlé, D. Bagnard, J. Zallat, Monitoring subcutaneous tumours using Mueller polarimetry: study on two types of tumors, Biomedical Optics Express, vol. 12, n. 10, pp. 6055-6065, 2021
• F. Renard, Ch. Heinrich, M. Bouthillon, M. Schenck, F. Schneider, S. Kremer, S. Achard, A covariate-constraint method to map brain feature space into lower dimensional manifolds, Network Neuroscience, vol. 5, n. 1, pp. 252-273, 2021
• Ch. Heinrich, J. Rehbinder, J. Zallat, Revisiting the generalized polar decomposition of Mueller matrices, Journal of the Optical Society of America A, vol. 37, n. 8, pp. 1327-1339, 2020
• Ch. Heinrich, J. Rehbinder, A. Nazac, B. Teig, A. Pierangelo, J. Zallat, Mueller polarimetric imaging of biological tissues: classification in a decision-theoretic framework, Journal of the Optical Society of America A, vol. 35, n. 12, pp. 2046-2057, 2018
• M. Karnoukian, S. Faisan, Ch. Heinrich, A. Lallement, J. Zallat, Segmentation of Mueller matrix images under non-uniform illumination, Optics Express, vol. 23, n. 14, pp. 18218-18235, 2015.
• 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