Insights, highlights and the latest news from inside Imagia

Lao, Qicheng, Xiang Jiang, Mohammad Havaei, and Yoshua Bengio.IEEE Transactions on Neural Networks and Learning Systems (2021).

Imagia, a leader in artificial intelligence and personalized healthcare announced today a $7M support from Investissement Québec as part of Imagia’s  last  financing round.  This funding supports the development of the EVIDENS^TM platform a

The process of labeling data is costly, tedious and is a very manual task  tackled by humans. Current machine learning algorithms require a lot of labeled data in order to reach performance levels that are meaningful. Once, a model is trained o

Sylvain, Tristan, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck, Devon Hjelm, and Yoshua Bengio. In 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The application of Machine Learning (ML) in healthcare presents unique challenges. For instance, ML algorithms may require data to be migrated and shared from the same server or datacenter for developing training datasets. In a multi-center heal

Lao, Qicheng, Xiang Jiang, and Mohammad Havaei.In Proceedings of the AAAI Conference on Artificial Intelligence (2021).

Havaei, Mohammad, Ximeng Mao, Yiping Wang, and Qicheng Lao. Submitted to medical image analysis. arXiv preprint arXiv:2012.04764 (2020).