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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Boisvert, J., Cheriet, F., Pennec, X., & Ayache, N. (2009, February). 3D reconstruction of the human spine from radiograph(s) using a multi-body statistical model [Paper]. Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling. External link
Boisvert, J., Cheriet, F., Pennec, X., Labelle, H., & Ayache, N. (2008). Articulated Spine Models for 3-D Reconstruction From Partial Radiographic Data. IEEE Transactions on Biomedical Engineering, 55(11), 2565-2574. External link
Boisvert, J., Cheriet, F., Pennec, X., Labelle, H., & Ayache, N. (2008). Geometric Variability of the Scoliotic Spine Using Statistics on Articulated Shape Models. IEEE Transactions on Medical Imaging, 27(4), 557-568. External link
Boisvert, J., Cheriet, F., Pennec, X., Labelle, H., & Ayache, N. (2008). Principal deformations modes of articulated models for the analysis of 3D spine deformities. ELCVIA - Electronic Letters on Computer Vision and Image Analysis, 7(4), 13-31. Available
Boisvert, J., Cheriet, F., Pennec, X., Ayache, N., & Labelle, H. (2006, June). Assessment of brace local action on vertebrae relative poses [Paper]. 6th Biennial Meeting of the International Research Society of Spinal Deformities (IRSSD 2006), Ghent, Belgium. External link
Boisvert, J., Cheriet, F., Pennec, X., Ayache, N., & Labelle, H. (2006, June). A novel framework for the 3D analysis of spine deformation modes [Paper]. 6th Biennial Meeting of the International Research Society of Spinal Deformities (IRSSD 2006), Ghent, Belgium. External link
Boisvert, J., Pennec, X., Labelle, H., Cheriet, F., & Ayache, N. (2006, July). Principal spine shape deformation modes using Riemannian geometry and articulated models [Paper]. 4th International Conference on Articulated Motion and Deformable Objects, Mallorca, Spain. External link
Lombaert, H., Grady, L., Pennec, X., Ayache, N., & Cheriet, F. (2014). Spectral log-demons: Diffeomorphic image registration with very large deformations. International Journal of Computer Vision, 107(3), 254-271. External link
Lombaert, H., Grady, L., Pennec, X., Peyrat, J.-M., Ayache, N., & Cheriet, F. (2012, October). Groupwise spectral log-demons framework for atlas construction [Paper]. 2nd MICCAI Workshop on Medical Computer Vision (MICCAI-MCV 2012), Nice, France. External link
Lombaert, H., Grady, L., Pennec, X., Ayache, N., & Cheriet, F. (2012, October). Spectral demons - Image registration via global spectral correspondence [Paper]. 12th European Conference on Computer Vision (ECCV 2012), Florence, Italy. External link
Molléro, R., Neumann, D., Rohé, M.-M., Datar, M., Lombaert, H., Ayache, N., Comaniciu, D., Ecabert, O., Chinali, M., Rinelli, G., Pennec, X., Sermesant, M., & Mansi, T. (2015, June). Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study [Paper]. 8th International Conference on Functional Imaging and Modeling of the Heart (FIMH 2015), Maastricht, The Netherlands. External link
Orasanu, E., Melbourne, A., Lombaert, H., Cardoso, M. J., Johnsen, S. F., Kendall, G. S., Robertson, N. J., Marlow, N., & Ourselin, S. (2014, September). Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates [Paper]. 3rd International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data (STIA 2014), Boston, MA, USA. External link