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Journal Article

  1. [MURT-18]“Image processing for precise three-dimensional registration and stitching of thick high-resolution laser-scanning microscopy image stacks”, Computers in Biology and Medicine, vol. 92, pp. 22-41, 2018.
    http://linkinghub.elsevier.com/retrieve/pii/S0010482517303530http://api.elsevier.com/content/article/PII:S0010482517303530?httpAccept=text/xmlhttp://api.elsevier.com/content/article/PII:S0010482517303530?httpAccept=text/plain
  2. [GIAC-17]“Multicomponent and Longitudinal Imaging Seen as a Communication Channel—An Application to Stroke”, Entropy, vol. 19, pp. 187-199, 2017.
    http://www.mdpi.com/1099-4300/19/5/187http://www.mdpi.com/1099-4300/19/5/187/pdf
  3. [BUJO-17a]“Robust graph representation of images with underlying structural networks. Application to the classification of vascular networks of mice’s colon”, Pattern Recognition Letters, vol. 87, 2017.
    http://dx.doi.org/10.1016/j.patrec.2016.07.022
  4. [CUCC-16]“Multi-site laser Doppler flowmetry for assessing collateral flow in experimental ischemic stroke: Validation of outcome prediction with acute MRI”, Journal of Cerebral Blood Flow & Metabolism, p. 0271678X16661567, 2016.
  5. [GARB-16]“Predicting sensorial attribute scores of ornamental plants assessed in 3D through rotation on video by image analysis: A study on the morphology of virtual rose bushes”, Computers and Electronics in Agriculture, vol. 121, pp. 331–346, 2016.
  6. [GIAC-16]“Robustness of spatio-temporal regularization in perfusion MRI deconvolution: An application to acute ischemic stroke”, Magnetic Resonance in Medicine, 2016.
    http://doi.wiley.com/10.1002/mrm.26573http://onlinelibrary.wiley.com/wol1/doi/10.1002/mrm.26573/fullpdfhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fmrm.26573https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fmrm.26573
  7. [CHEN-16]“Shape descriptors to characterize the shoot of entire plant from multiple side views of a motorized depth sensor”, Machine Vision and Applications, vol. 27, pp. 447–461, 2016.
  8. [ROUS-15a]D. Rousseau, Chéné, Y., Belin, E., Semaan, G., Ghassen, T., Boudheri, K., Franconi, F., and Chapeau-Blondeau, F., “Multiscale imaging of plants: current approaches and challenges”, Plant Methods, 2015.
  9. [BENO-15]L. Benoit, Belin, E., DURR, C., Chapeau-Blondeau, F., Demilly, D., Ducournau, S., and Rousseau, D., “Computer vision under inactinic light for hypocotyl–radicle separation with a generic gravitropism-based criterion”, Computers and Electronics in Agriculture, vol. 111, 2015.
  10. [FRIN-15]C. Frindel, Rouanet, A., Giacalone, M., Cho, T. H., Østergaard, L., Fiehler, J., Pedraza, S., Baron, J. C., Wiart, M., Berthezène, Y., Nighoghossian, N., and Rousseau, D., “Validity of Shape as a Predictive Biomarker of Final Infarct Volume in Acute Ischemic Stroke.”, Stroke; a journal of cerebral circulation, vol. 46, pp. 976-981, 2015.
  11. [ROUS-15]“Fast virtual histology using X-ray in-line phase tomography: application to the 3D anatomy of maize developing seeds.”, Plant Methods, vol. 11, p. 55, 2015.
  12. [FRIN-14]C. Frindel, Robini, M., and Rousseau, D., “A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain”, Medical Image Analysis, vol. 18, pp. 144-160, 2014.
  13. [ROSI-14]H. Rositi, Frindel, C., Wiart, M., Langer, M., Olivier, C., Peyrin, F., and Rousseau, D., “Computer vision tools to optimize reconstruction parameters in x-ray in-line phase tomography”, Physics in Medicine and Biology, vol. 59, pp. 7767-7775, 2014.
  14. [BERE-14]S. Beretta, Cuccione, E., Versace, A., Carone, D., Riva, M., Padovano, G., Dell'Era, V., Cai, R., Monza, L., Presotto, L., Rousseau, D., Chauveau, F., Paterno, G., Pappada, G., Giussani, C., Sganzeria, E., and Ferrarese, C., “Cerebral collateral flow defines topography and evolution of molecular penumbra in experimental ischemic stroke”, Neurobiology of disease, 2014.
  15. [BENO-14a]L. Benoit, Rousseau, D., Belin, E., Demilly, D., and Chapeau-Blondeau, F., “Simulation of image acquisition in machine vision dedicated to seedling elongation to validate image processing root segmentation algorithms”, Computers and Electronics in Agriculture, 2014.
  16. [BENO-14]Benoit L., Belin, E., Rousseau, D., and Chapeau-Blondeau, F., “Information-Theoretic Modeling of Trichromacy Coding of Light Spectrum”, Fluctuation and Noise Letters, 2014.
  17. [BELI-13]E. Belin, Rousseau, D., Boureau, T., and Caffier, V., “Thermography versus chlorophyll fluorescence imaging for detection and quantification of apple scab”, Computers and Electronics in Agriculture, 2013.
  18. [ROSI-13]H. Rositi, Frindel, C., Langer, M., Wiart, M., Olivier, C., Peyrin, F., and Rousseau, D., “Information-based analysis of X-ray in-line phase tomography with application to the detection of iron oxide nanoparticles in the brain”, Optics Express, vol. 21, pp. 27185-27196, 2013.
  19. [DELA-13]A. Delahaies, Chapeau-Blondeau, F., Rousseau, D., and Franconi, F., “Tuning the noise in magnetic resonance imaging to maximize nonlinear information transmission”, Fluctuations and Noise Letters, vol. 12, 2013.
  20. [ROUS-13]C. Rousseau, Belin, E., Rousseau, D., Fabre, F., Berruyer, R., Guillaumes, J., Manceau, C., Jacques, M., and Boureau, T., “High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis”, Plant Methods, vol. 9, 2013.
  21. [CHEN-13]Y. Chéné, Belin, E., Rousseau, D., and Chapeau-Blondeau, F., “Multiscale analysis of depth images from natural scenes :Scaling in the depth of the wood”, Chaos Solitons and Fractals, 2013.
  22. [DELA-12]A. Delahaies, Rousseau, D., Fasquel, J. - B., and Chapeau-Blondeau, F., “Local-feature-based similarity measure for stochastic resonance in visual perception of spatially structured images”, Journal of the Optical Society of America A, vol. 29, pp. 1211-1216, 2012.
  23. [CHEN-12]Y. Chéné, Rousseau, D., Lucidarme, P., Bertheloot, J., Morel, P., Belin, E., and Chapeau-Blondeau, F., “On the use of depth camera for 3D phenotyping of entire plants”, Computers and Electronics in Agriculture, vol. 82, pp. 122-127, 2012.
  24. [HUME-12b]“Multifractal Analysis of Laser Doppler Flowmetry Signals: Partition Function and Generalized Dimensions of Data Recorded before and after Local Heating”, Biocybernetics and Biomedical Engineering, vol. 32, pp. 17-26, 2012.
  25. [HUME-12]A. Humeau-Heurtier, Mahé, G., Chapeau-Blondeau, F., Abraham, P., and Rousseau, D., “Study of time reversibility/irreversibility of cardiovascular data: theoretical results and application to laser Doppler flowmetry and heart rate variability signals”, Physics in Medicine and Biology, vol. 57, pp. 4335-4351, 2012.
  26. [BRIC-12]S. Bricq, Mahé, G., Rousseau, D., Humeau-Heurtier, A., Chapeau-Blondeau, F., Rojas-Varela, J., and Abraham, P., “Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: Application to frequency analysis”, Medical & Biological Engineering & Computing, vol. 50, pp. p. 1017-1023, 2012.
  27. [BELI-11]E. Belin, Rousseau, D., Rojas Varela, J., Demilly, D., Wagner, M. H., CATHALA, M. H., and Dürr, C., “Thermography as non invasive functional imaging for monitoring seedling growth”, Computers and Electronics in Agriculture, vol. 79, pp. 236-240, 2011.

Conference Paper

  1. [ALST-17a]“ IMAGERIE INTERVENTIONNELLE EN NEUROCHIRURGIE PAR SPECTROSCOPIE DE FLUORESCENCE DE LA PROTOPORPHYRINE IX ”, in RITS, Lyon, France, 2017.
  2. [SDIK-16]“Robust real time motion compensation for intraoperative video processing during neurosurgery”, in Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 2016, pp. 1046–1049.PDF icon sdika_isbi2016_cmp.pdf (1.01 MB)
  3. [ALST-16a]“SPECTROSCOPIE DE FLUORESCENCE DE LA PROTOPORPHYRIN IX INDUITE PAR 5-ALA POUR L’ASSISTANCE PEROPERATOIRE EN NEUROCHIRURGIE”, in OptDiag 2016 - Diagnostic et imagerie optique en médecine et en biologie, 2016.PDF icon ALSTON_OPTDIAG16.pdf (282.41 KB)
  4. [ALST-16b]“Interventional imaging in neurosurgery of gliomas with 5-ALA induced PpIX fluorescence spectroscopy”, in Physics and Biological Systems 2016 , 2016.
  5. [ALST-16c]“Interventional imaging in neurosurgery of gliomas: use of several fluorescence emission spectra of 5-ALA induced protoporphyrin IX to guide neurosurgeons”, in Santé@LabEx - Colloque inter-LabEx en Santé en RAA, 2016.PDF icon ALSTON_SANTELABEX2016.pdf (274.82 KB)
  6. [ALST-15]“Spectroscopic fluorescence measurements as an intraoperative tool for glioma resection”, in European Conference on Biomedical Optics, 2015.PDF icon ABSTRACT ALSTON-ECBO15.pdf (767.02 KB)
  7. [ROSI-15]H. Rositi, Desestret, V., Chauveau, F., Cho, T. H., Ong, E., Berner, L. P., Weber, L., Langer, M., Olivier, C., Frindel, C., Nighoghossian, N., Berthezène, Y., Peyrin, F., Rousseau, D., and Wiart, M., “Fast virtual histology of unstained mouse brains using in-line X-ray phase tomography”, in European Molecular Imaging Meeting, Tubingen, Germany, 2015.
  8. [MURT-14a]C. Murtin, Frindel, C., Rousseau, D., and Ito, K., “Image Registration for Confocal Fluorescence Microscopy 3-Dimensional Stack of Images of Drosophila Melanogaster Central Nervous System”, in 11th International Congress of Neuroethology (ICN), Sapporo, Japon, 2014.
  9. [ROUA-13a]A. Rouanet, Frindel, C., and Rousseau, D., “Corrélations entre maillages 3D au moyen du logiciel R : application à l’imagerie par IRM de l’accident vasculaire cérébral”, in 2ème rencontres R, Lyon, France, 2013.
  10. [CHEN-13a]Y. Chéné, Belin, E., Rousseau, D., and Chapeau-Blondeau, F., “Analyse fractale de cartographies de profondeur issues de scènes naturelles”, in Actes du 24ème Colloque GRETSI sur le Traitement du Signal et des Images, Brest, France, 3-6 sept. 2013., 2013.
  11. [CHEN-13]Y. Chéné, Belin, E., Coadou, F., Chapeau-Blondeau, F., Hardouin, L., and Rousseau, D., “Instrumentation et capteurs innovants appliqués au phénotypage automatisé des végétaux”, in 6ème Colloque Interdisciplinaire en Instrumentation, Lyon, France, 2013, p. 6 pages.
  12. [BENO-13]L. Benoit, Belin, E., Rousseau, D., and Chapeau-Blondeau, F., “Une analyse informationnelle du codage trichromatique des spectres lumineux”, in Actes du 24ème Colloque GRETSI sur le Traitement du Signal et des Images, Brest, France, 3-6 sept. 2013., 2013.
  13. [ROUA-13]A. Rouanet, Frindel, C., Denis, F., Dupont, F., Wiart, M., Ritzenthaler, T., Berthezène, Y., Nighoghossian, N., and Rousseau, D., “Shape descriptors to characterize the evolution of cerebral ischemic lesions in longitudinal follow up with perfusion weighted MRI”, in European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), Toulouse (France), 2013, pp. 3-5 october.
  14. [FRIN-13a]C. Frindel, Rositi, H., Sdika, M., Chauveau, F., Cho, T. H., Neyran, B., Rousseau, D., Wiart, M., Berthezène, Y., and Nighoghossian, N., “Démonstrateur en imagerie à vocation diagnostique dans le cadre de l’AVC”, in 4ème Journée Démonstrateurs, Angers, France, 2013.
  15. [FRIN-13b]C. Frindel, Rousseau, D., and Robini, M., “Approche 3D spatio-temporelle pour la déconvolution en imagerie de perfusion du cerveau”, in GRETSI '13 : 24ème colloque GRETSI sur le Traitement du Signal et des Images, Brest, France, 2013.
  16. [FRIN-12d]C. Frindel, Rousseau, D., Hannoun, S., Durand-Dubief, F., Cotton, F., and Sappey-Marinier, D., “Scale analysis of multicomponent MRI histograms”, in Journées scientifiques conjointes aux GDR - Imagerie du vivant, Lyon, France, 2012.
  17. [FRIN-12b]C. Frindel, Rousseau, D., and Wiart, M., “Computer vision tools for the quantification of iron oxide nanoparticles in the brain”, in 6th annual Winter Conference of the European Society for Molecular Imaging : hot TOPics in molecular IMaging (TOPIM), Les Houches, France, 2012.
  18. [FRIN-12c]C. Frindel, Rousseau, D., Ressnikoff, D., Chapeau-Blondeau, F., and Tourneur, Y., “Scale analysis of multicomponent biomedical images with ImageJ software”, in 4th Developpers and Users ImageJ Conference, Luxembourg, Luxembourg, 2012.
  19. [BELI-12]E. Belin, Rousseau, D., Demilly, D., Boudheri, K., Chapeau-Blondeau, F., and Dürr, C., “Relative-entropy based distance for automated embryo detection in X ray images of dry seed of sugar beet with ImageJ software”, in 4th Developpers and Users ImageJ Conference, Luxembourg , 2012, p. 6 p.
  20. [FRIN-12a]C. Frindel, Rousseau, D., Cho, T. H., Berthezène, Y., Wiart, M., and Nighoghossian, N., “Application d'une mesure de similarité locale pour la segmentation du système ventriculaire cérébral en IRM de perfusion”, in 1er congrès de la Société Française de Résonance Magnétique en Biologie et Médecine (SFRMBM), Marseille, France, 2012.

Book Chapter

  1. [GIAC-17c]“Influence of normalization strategies of perfusion MRI in acute stroke”, in Current Developments in Stroke: New Concepts in Stroke Diagnosis and Therapy, vol. 1, Bentham Science Publishers, 2017.
  2. [ROUS-15b]D. Rousseau, Dee, H., and Pridemore, T., “Imaging Methods for Phenotyping of Plant Traits”, SPRINGER 2015.
  3. [BELI-14]E. Belin, Rousseau, D., Benoit, L., Demilly, D., Ducournau, S., Chapeau-Blondeau, F., and DURR, C., “Thermal imaging for evaluation of seedling growth”, C. Press 2014.
  4. [CHEN-14]Y. Chéné, Belin, E., Chapeau-Blondeau, F., Caffier, V., Boureau, T., and Rousseau, D., “Anatomofunctional bimodality imaging for plant phenotyping: An insight through depth imaging coupled to thermal imaging”, C. Press 2014.

Invited Conference

  1. [BENO-13a]L. Benoit, Rousseau, D., Belin, E., Demilly, D., Ducournau, S., Chapeau-Blondeau, F., and Dürr, C., “Locally oriented anisotropic image diffusion: application to phenotyping of seedlings”, 8th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2013). Barcelona, Spain, 2013.
  2. [ROUS-12]D. Rousseau, Chéné, Y., Belin, E., and Chapeau-Blondeau, F., “Plant phenotyping using depth cameras”. Developers’ Workshop of the European Plant Phenotyping Network, Wageningen, Pays-Bas, 2012.

Miscellaneous

  1. [TOUL-13a]M. Toulemonde, Rousseau, D., Liebgott, H., Cachard, C., and Neyran, B., “En attendant le nouveau bachot”, CETSIS. Caen, 2013.