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A 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.
Alley, S., Fedorov, A., Menard, C., & Kadoury, S. (2020, February). Evaluation of intensity-based deformable registration of multi-parametric MRI for radiomics analysis of the prostate [Paper]. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, Houston, Texas, USA (11 pages). External link
Grajales, D., Le, W. T., Tran, T., David, S., Dallaire, F., Ember, K., Leblond, F., Menard, C., & Kadoury, S. (2024). Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room. International Journal of Computer Assisted Radiology and Surgery, 9-9. External link
Grajales, D., Le, W., Dallaire, F., Sheehy, G., David, S., Tran, T., Leblond, F., Menard, C., & Kadoury, S. (2023, October). Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification [Paper]. 2nd International Workshop on Cancer Prevention Through Early Detection (CaPTion 2023), Vancouver, BC, Canada. External link
Kadoury, S., Lopera, D., Shams, R., Beliveau-Nadeau, D., Delouya, G., Boudam, K., Carrier, J.-F., & Menard, C. (2021, May). Registration accuracy of an integrated MR-TRUS navigation system for prostate HDR brachytherapy [Poster]. World Congress of Brachytherapy. Published in Radiotherapy and Oncology, 158. External link
Lopera, D. O. G., Picot, F., Shams, R., Dallaire, F., Sheehy, G., Alley, S., Barkati, M., Delouya, G., Carrier, J.-F., Birlea, M., Trudel, D., Leblond, F., Menard, C., & Kadoury, S. (2022). Image-guided Raman spectroscopy navigation system to improve transperineal prostate cancer detection. Part 2: in-vivo tumor-targeting using a classification model combining spectral and MRI-radiomics features. Journal of Biomedical Optics, 27(9), 095004 (16 pages). External link
Navarro, I., Joseph, L., Liu, Z., Taussky, D., Delouya, G., Barkati, M., Beauchemin, M.-C., Niazi, T., Berlin, A., Helou, J., Raman, S., Beliveau-Nadeau, D., Kadoury, S., Rink, A., Chung, P., & Menard, C. (2021, May). Outcomes in focal vs. dose-painted salvage HDR brachytherapy for locally recurrent prostate cancer [Abstract]. World Congress of Brachytherapy. Published in Radiotherapy and Oncology, 158. External link
Picot, F., Shams, R., Dallaire, F., Sheehy, G., Trang, T., Grajales, D., Birlea, M., Trudel, D., Menard, C., Kadoury, S., & Leblond, F. (2022). Image-guided Raman spectroscopy navigation system to improve transperineal prostate cancer detection. Part 1: Raman spectroscopy fiber-optics system and in situ tissue characterization. Journal of Biomedical Optics, 27(9), 095003 (14 pages). External link
Shams, R., Picot, F., Grajales, D., Sheehy, G., Dallaire, F., Birlea, M., Saad, F., Trudel, D., Menard, C., Leblond, F., & Kadoury, S. (2020). Pre-clinical evaluation of an image-guided in-situ Raman spectroscopy navigation system for targeted prostate cancer interventions. International Journal of Computer Assisted Radiology and Surgery, 15(5), 867-876. External link
Shakeri, S., Menard, C., Lopes, R., & Kadoury, S. (2019, February). Deformable MRI-TRUS surface registration from statistical deformation models of the prostate [Paper]. SPIE Medical Imaging 2019 : Image-Guided Procedures, Robotic Interventions, and Modeling (MI2019), San Diego, California, United States (7 pages). External link