 | 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.
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
Cardin, G. B., Rivest, D., Ayad, T., Robert, É., Rahal, A., & Christopoulos, A. (2022). Quantification and visualization of aerosols in ear, nose, and throat exam and flexible laryngoscopy. Laryngoscope Investigative Otolaryngology, 7(4), 963-969. External link
Dayan, G., Henique, G., Bahig, H., Nelson, K., Brodeur, C., Christopoulos, A., Filion, É., Nguyen-Tan, P.-F., O'Sullivan, B., Ayad, T., Bissada, É., Tabet, P., Guertin, L., Desîlets, A., Kadoury, S., & Létourneau-Guillon, L. (2025). Artificial Intelligence Model for Imaging-Based Extranodal Extension Detection and Outcome Prediction in Human Papillomavirus−Positive Oropharyngeal Cancer. JAMA Otolaryngology–Head & Neck Surgery. Presented at 67th Annual Meeting of the American Society for Radiation Oncology (ASTRO 2025), San Francisco, CA, USA. External link
Dayan, G., Henique, G., Létourneau-Guillon, L., Nelson, K. M., Brodeur, C., Christopoulos, A., Filion, É., Nguyen, F., O'Sullivan, B., Ayad, T., Bissada, É., Tabet, P., Guertin, L., Desîlets, A., Kadoury, S., & Bahig, H. (2025). Automated Lymph Node Segmentation and iENE Classification Model for HPV-Associated Oropharyngeal Cancer. International Journal of Radiation Oncology*Biology*Physics, 123(1), S195-S196. External link
De Montigny, E., Goulamhoussen, N., Madore, W. J., Strupler, M., Maniakas, A., Ayad, T., & Boudoux, C. (2016, February). Simultaneous multi-scale microscopy as a potential dedicated tool for intra-operative parathyroid identification during thyroid surgery [Abstract]. Photonic Therapeutics and Diagnostics XII, San Francisco, CA, USA (1 page). External link
De Montigny, E., Goulamhoussen, N., Madore, W. J., Strupler, M., Gologan, O. E., Ayad, T., & Boudoux, C. (2016). Tri-modal microscope for head and neck tissue identification. Biomedical Optics Express, 7(3), 732-745. 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
Yang, N., Boudoux, C., De Montigny, E., Maniakas, A., Gologan, O., Madore, W. J., Khullar, S., Guertin, L., Christopoulos, A., Bissada, E., & Ayad, T. (2019). Rapid head and neck tissue identification in thyroid and parathyroid surgery using optical coherence tomography. Head and Neck-Journal for the Sciences and Specialties of the Head and Neck, 41(12), 4171-4180. External link
