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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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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.
Bang, C., Gautier, H., Le, W., Lalonde, A., Bernard, G., Markel, D., Nguyen-Tan, F., Filion, É., O’Sullivan, B., Ayad, T., Christopoulos, A., Bissada, É., Guertin, L., Soulières, D., Létourneau-Guillon, L., Kadoury, S., & Bahig, H. (2025). Dynamic prediction of Radiotherapy toxicities in Head and neck cancer using clinical and imaging data. Radiotherapy and Oncology, 111312-111312. External link
Bang, C., Bernard, G., Le, W. T., Lalonde, A., Kadoury, S., & Bahig, H. (2023). Artificial intelligence to predict outcomes of head and neck radiotherapy. Clinical and Translational Radiation Oncology, 39, 100590 (9 pages). Available
Bang, C., Le, W. T., Nguyen-Tan, P. F., Soulières, D., O'Sullivan, B., Christopoulos, A., Bissada, É., Ayad, T., Guertin, L., Lalonde, A., Markel, D., Kadoury, S., & Bahig, H. (2023, October). Dynamic Prediction of Toxicities in Head and Neck Cancer Radiotherapy by 3D Convolutional Neural Network Using Daily Cone-Beam CTs [Abstract]. 65th Annual Meeting of the American Society for Radiation Oncology (ASTRO 2023), San Diego, CA, USA (1 page). Published in International Journal of Radiation Oncology Biology Physics, 117(2). External link
Bang, C., Le, W. T., Nguyen-Tân, P. F., Filion, É., Soulières, D., O'Sullivan, B., Christpoulos, A., Bissada, É., Ayad, T., Guertin, L., Lalonde, A., Markel, D., Kadoury, S., & Bahig, H. (2023, September). Dynamic prediction of toxicities in head and neck cancer radiotherapy by 3D convolutional neural network using daily cone-beam CTS [Abstract]. CARO-COMP Joint Scientific Meeting (CARO-COMP 2023), Montréal, Québec, Canada (1 page). Published in Radiotherapy and Oncology, 186(Suppl.1). External link
Henique, G., Seok Bang, C., Le, W., Nguyen, F., Filion, É., Soulières, D., O'Sullivan, B., Christopoulos, A., Bissada, É., Ayad, T., Guertin, L., Lalonde, A., Markel, D., Kadoury, S., & Bahig, H. (2025). Head and Neck Cancer Radiotherapy Toxicity Prediction across Intra-Fractional Cone-Beam CTs Using Vision Transformers Networks. International Journal of Radiation Oncology*Biology*Physics, 123(1), e343-e343. Presented at 67th Annual Meeting of the American Society for Radiation Oncology (ASTRO 2025), San Francisco, CA, USA. External link
Pageot, C., Zerouali, K., Guillet, D., Muir, B. R., Renaud, J., & Lalonde, A. (2024). The effect of electron backscatter and charge build up in media on beam current transformer signal for ultra-high dose rate (FLASH) electron beam monitoring. Physics in Medicine & Biology, 34-34. External link
