Lightning Talk: How DeepInverse Is Solving Imaging in Science and H... Andrew Wang & Minh Hai Nguyen

This talk by Andrew Wang from DeepInverse and Minh Hai Nguyen from Université de Toulouse explores how deep learning is transforming imaging in science and healthcare through the DeepInverse library, built on PyTorch. The speakers discuss the integration of deep learning methods and physics in addressing key challenges in imaging technology, such as efficient differentiable operations and physics-informed losses. They present real-world applications, including the acceleration of brain MRI and the reduction of radiation in CT scans. The session invites PyTorch enthusiasts of all skill levels to engage with the community and contribute to advancements in imaging across diverse fields, highlighting the growing support for DeepInverse in the international scientific community.