Explore the intersection of machine learning and computational imaging in this comprehensive lecture from the Computational Microscopy Tutorials at IPAM. Delve into the challenges and opportunities of using AI for scientific applications, with a focus on deep learning for inverse problems in image and signal recovery. Examine successful applications in denoising, MR reconstruction, phase retrieval, and nano-scale imaging. Review existing literature and discuss emerging trends in this cutting-edge field. Gain insights from Mahdi Soltanolkotabi of the University of Southern California's ECE department as he presents the latest advancements in AI-driven computational imaging techniques.
Machine Learning and Computational Imaging - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Mahdi Soltanolkotabi - Machine Learning and Computational Imaging - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)
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