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This 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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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.
Soucy, J.‐P., Chevrefils, C., Osseiran, S., Sylvestre, J.‐P., Lesage, F., Beaulieu, S., Pascoal, T. A., Provost, K., Arbour, J. D., Rhéaume, M.‐A., Villeneuve, S., Nasreddine, Z. S., Rosa‐Neto, P., Gauthier, S., Robillard, A., Chayer, C., Black, S. E., Kertes, P. J., El Shahawy, H., ... Ritter, A. (2021, July). A retinal deep phenotyping TM platform to predict the cerebral amyloid PET status in older adults [Poster]. Alzheimer's Association International Conference (AAIC 2021), Denver, Colorado (2 pages). Published in Alzheimer's & Dementia, 17(S5). External link
Soucy, J.‐P., Chevrefils, C., Osseiran, S., Sylvestre, J.‐P., Beaulieu, S., Pascoal, T. A., Arbour, J. D., Rhéaume, M.‐A., Villeneuve, S., Nasreddine, Z. S., Rosa‐Neto, P., Gauthier, S., Robillard, A., Chayer, C., Black, S. E., Kertes, P. J., Shahawy, H. E., Chen, J. J., Knopman, D. S., ... Lesage, F. (2020). Evaluation of a retinal deep phenotyping platform to detect the likely cerebral amyloid PET status in humans. Alzheimer's & Dementia, 16(S4). External link
Sharafi, S. M., Sylvestre, J.‐P., Chevrefils, C., Soucy, J.‐P., Beaulieu, S., Pascoal, T. A., Arbour, J. D., Rhéaume, M.‐A., Robillard, A., Chayer, C., Rosa‐Neto, P., Mathotaarachchi, S. S., Nasreddine, Z. S., Gauthier, S., & Lesage, F. (2019). Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images. Alzheimer's & Dementia: Translational Research & Clinical Interventions, 5(1), 610-617. Available
Soucy, J.-P., Chevrefils, C., Sylvestre, J.-P., Arbour, J. D., Rhéaume, M.-A., Beaulieu, S., Chayer, C., Robillard, A., Rosa-Neto, P., Mathotaarachchi, S., Nasreddine, Z. S., Gauthier, S., & Lesage, F. (2018). IC‐P‐190: An amyloid ligand‐free optical retinal imaging method to predict cerebral amyloid pet status. Alzheimer's & Dementia, 14(7S_Part_2). External link
Soucy, J.-P., Chevrefils, C., Sylvestre, J.-P., Arbour, J. D., Rhéaume, M.-A., Beaulieu, S., Chayer, C., Robillard, A., Rosa-Neto, P., Mathotaarachchi, S., Nasreddine, Z. S., Gauthier, S., & Lesage, F. (2018). P2‐252: An amyloid ligand‐free optical retinal imaging method to predict cerebral amyloid pet status. Alzheimer's & Dementia, 14(7S_Part_14). External link