This webinar is for all who are interested to see how the Hi-Acts Technology Lab “Physics informed AI@synchrotron” uses machine learning to improve data analysis for x-ray imaging processes. In addition to the technological insights, you will learn which opportunities exist to collaborate with our scientists and how your organization can benefit from their expertise.
Machine learning is a key technology of our time and offers immense potential in multiple fields. In x-ray imaging, it enables faster, high-resolution, and low-dose imaging by extracting more valuable information from measurement data. After a brief introduction to the general topic, this webinar explores how machine learning enhances x-ray imaging by reducing noise and improving clarity. It covers deep learning techniques that enhance diagnostic accuracy and streamline imaging workflows, benefiting researchers, radiologists, and AI enthusiasts.
Dr. Vahid Rahmani, senior scientist at DESY, specializing in Machine Learning and Data Reduction is part of the Hi-Acts Technology Lab "Physics Informed AI@synchrotron" and will present the details and insights about this engaging topic.
Johannes Blum will be the moderator and represents Hi-Acts, an innovation platform connecting industry, medicine, and research professionals in accelerator-based technologies.