Co Operation Student – Deep learning applications in multispectral retinal imagery

The internship opportunity involves active participation in an agile AIS AI team dedicated to advancing the DeepMSI AI product. The intern will engage in impactful research under the AI team lead, focusing on refining core AI algorithms with a special emphasis on multispectral retinal image processing and deep learning. The objectives include exploring advancements in domain adaptation, semi-supervised pre-training, multi-scale feature fusion, and context awareness in convolutional and transformer architectures. Additionally, the intern will contribute to the company’s AI software suite and cloud platform, optimizing processes and expanding infrastructure. The role extends to addressing software-related challenges, introducing new functionalities, and improving overall performance. Miscellaneous tasks, such as data acquisition workflow management, doctor support during biomarker labeling, and documentation writing, further enrich the intern’s experience in diverse aspects of AI workflows.

Faculty Supervisor:

François Légaré

Student:

Partner:

AI-Spectral Technology Corp

Discipline:

Physics

Sector:

Artificial Intelligence; Biotechnology; Biomanufacturing

University:

Université du Québec : Institut national de la recherche scientifique

Program: