 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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.
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.
Mandel, W., Korez, R., Nault, M. L., Parent, S., & Kadoury, S. (2016, October). Classification of Progressive and Non-progressive Scoliosis Patients Using Discriminant Manifolds [Paper]. 4th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, Ahtens, Greece. External link
Nault, M. L., Labelle, H., Aubin, C.-É., Sangole, A., & Balazinski, M. (2009). Fuzzy logic assisted surgical planning in adolescent idiopathic scoliosis. Journal of Spinal Disorders & Techniques, 22(4), 263-269. External link
Nault, M. L., Labelle, H., Aubin, C.-É., & Balazinski, M. (2007). The Use of Fuzzy Logic to Select Which Curves Need to Be Instrumented and Fused in Adolescent Idiopathic Scoliosis - a Feasibility Study. Journal of Spinal Disorders & Techniques, 20(8), 594-603. External link
Nault, M. L., Labelle, H., Aubin, C.-É., & Balazinski, M. (2004, June). Fuzzy logic as an aid to surgery planning in idiopathic scoliosis [Paper]. 5th International Research Society for Spinal Deformities Symposium (IRSSD 2004), Vancouver, Canada. Unavailable
Nault, M. L., Labelle, H., & Aubin, C.-É. (2003). Modélisation par logique floue du processus de sélection de fusion des courbures thoraciques hautes dans la scoliose idiopathique. Médecines sciences, 2(19), 44-44. Unavailable
Phan, P., Mezghani, N., Nault, M. L., Aubin, C.-É., Parent, S., De Guise, J., & Labelle, H. (2010). A Decision Tree Can Increase Accuracy When Assessing Curve Types According to Lenke Classification of Adolescent Idiopathic Scoliosis. Spine, 35(10), 1054-1059. External link
