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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.
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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.
Fong, D., Grégoire-Gélinas, P., Cheng, A. P., Mezheritsky, T., Lavertu, M., Sato, S., & Hoemann, C. D. (2017). Lysosomal rupture induced by structurally distinct chitosans either promotes a type 1 IFN response or activates the inflammasome in macrophages. Biomaterials, 129, 127-138. Available
Mezheritsky, T., Vazquez Romaguera, L., Le, W. L., & Kadoury, S. (2022). Population-based 3D respiratory motion modelling from convolutional autoencoders for 2D ultrasound-guided radiotherapy. Medical Image Analysis, 75, 102260 (14 pages). External link
Mezheritsky, T. (2021). Modélisation du mouvement tridimensionnel du foie à partir d'images échographiques 2D par auto-encodeurs convolutionnels [Master's thesis, Polytechnique Montréal]. Available
Mezheritsky, T., Vazquez Romaguera, L., & Kadoury, S. (2020, April). 3D Ultrasound Generation from Partial 2D Observations Using Fully Convolutional and Spatial Transformation Networks [Paper]. 17th IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, IA. External link
Vazquez Romaguera, L., Mezheritsky, T., & Kadoury, S. (2021, September). Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy [Paper]. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). External link
Vazquez Romaguera, L., Mezheritsky, T., Mansour, R., Tanguay, W., & Kadoury, S. (2021). Predictive online 3D target tracking with population-based generative networks for image-guided radiotherapy. International Journal of Computer Assisted Radiology and Surgery, 16(7), 1213-1225. External link
Vazquez Romaguera, L., Mezheritsky, T., Mansour, R., Carrier, J.-F., & Kadoury, S. (2021). Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy. Medical Image Analysis, 74, 102250 (17 pages). External link
