Insights, highlights and the latest news from inside Imagia

Blog

May 3, 2021

Machine Learning - Understanding Differences between Real World Evidence and Clinical Trial Data for better patient outcomes

How data is collected and managed will impact future discoveries in medical artificial intelligence. This post explains the two types of data sets encountered in the clinical setting and provides the strengths and weaknesses of both, from Imagia

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Publications

ARTIFICIAL INTELLIGENCE ENDPOINT

Mar 3, 2021

A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay

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


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Press

Mar 2, 2021

Imagia secures an additional $7M of funding from Québec to further accelerate the development of its EVIDENS platform

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 EVIDENSTM platform a

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Blog

Feb 17, 2021

How HDMI supports groundbreaking possibilities in healthcare

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

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Publications

ARTIFICIAL INTELLIGENCE ENDPOINT

Feb 1, 2021

Cross-Modal Information Maximization for Medical Imaging: CMIM

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).

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Blog

Jan 19, 2021

Federated learning for protecting patient privacy

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

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Publications

ARTIFICIAL INTELLIGENCE ENDPOINT

Dec 15, 2020

Hypothesis Disparity Regularized Mutual Information Maximization

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


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Publications

ARTIFICIAL INTELLIGENCE ENDPOINT

Dec 8, 2020

Conditional Generation of Medical Images via Disentangled Adversarial Inference

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

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