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Word cloudA 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.
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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. (2008). Modèles de la variabilité géométrique du rachis scoliotique [Ph.D. thesis, École Polytechnique de Montréal]. Available
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
Boisvert, J., Cheriet, F., & Grimard, G. (2003, June). Segmentation of Laparoscopic Images for Computer Assisted Surgery [Paper]. 13th Scandinavian Conference on Image Analysis (SCIA 2003). External link
Hajzargarbashi, S., Côté, G., Boisvert, J., Meziane, R., Xu, C., Hubert, C., Jocelyn, S., & Gosselin, C. (2024, July). Collaborative robotic finishing platform for metal part processing towards industry 5.0 [Paper]. 15th International Conference on Mechanical and Aerospace Engineering (ICMAE 2024), Zagreb, Croatia. Available
Moura, D. C., Boisvert, J., Barbosa, J. G., Labelle, H., & Tavares, J. M. R. S. (2011). Fast 3D reconstruction of the spine from biplanar radiographs using a deformable articulated model. Medical Engineering and Physics, 33(8), 924-933. External link
Moura, D. C., Boisvert, J., Barbosa, J. G., & Tavares, J. M. R. S. (2009, November). Fast 3D reconstruction of the spine using user-defined splines and a statistical articulated model [Paper]. 5th International Symposium on Advances in Visual Computing, ISVC 2009, Las Vegas, NV, United states. External link
Séoud, L., Boisvert, J., Drouin, M.-A., Picard, M., & Godin, G. (2018, September). Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts [Paper]. European Conference on Computer Vision (ECCV 2018 Workshops), Munich, Germany. External link
Séoud, L., Boisvert, J., Drouin, M.-A., Picard, M., & Guy Godin, G. (2019, February). Training a CNN to robustly segment the human body parts in range image sequences [Paper]. SPIE OPTO 2019, San Francisco, California, United States. External link
