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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.
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.
Kadoury, S., Mandel, W., Roy-Beaudry, M., Nault, M.-L., & Parent, S. (2017). 3D morphology prediction of progressive spinal deformities from probabilistic modeling of discriminant manifolds. IEEE Transactions on Medical Imaging, 36(5), 1194-1204. External link
Mandel, W., Oulbacha, R., Roy-Beaudry, M., Parent, S., & Kadoury, S. (2021). Image-Guided Tethering Spine Surgery With Outcome Prediction Using Spatio-Temporal Dynamic Networks. IEEE Transactions on Medical Imaging, 40(2), 491-502. External link
Mandel, W., Parent, S., & Kadoury, S. (2021). Intra-operative forecasting of growth modulation spine surgery outcomes with spatio-temporal dynamic networks. International Journal of Computer Assisted Radiology and Surgery, 16(10), 1641-1651. External link
Mandel, W., Parent, S., & Kadoury, S. (2020, October). Intra-operative forecasting of growth modulation spine surgery outcomes with spatio-temporal dynamic networks [Paper]. 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020), Lima, Peru. External link
Mandel, W., Turcot, O., Knez, D., Parent, S., & Kadoury, S. (2019). Prediction outcomes for anterior vertebral body growth modulation surgery from discriminant spatiotemporal manifolds. International Journal of Computer Assisted Radiology and Surgery, 14(9), 1565-1575. External link
Mandel, W., Turcot, O., Knez, D., Parent, S., & Kadoury, S. (2018, September). Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis [Paper]. 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain. External link
