,

Berardino Barile1, Enyi Chen2, Thomas Grenier2

  • 1Center for Intelligent Machines, McGill University, Canada; MILA (Quebec AI institute), Canada.

概括

我们开发了一种新方法,用于为多发性硬化症 (MS) 脑部扫描生成现实的反事实. 这有助于了解疾病的进展,并改善神经成像中机器学习模型的解释性.

相关概念视频

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