Our technology has been featured in Reuters, in collaboration with Prof. Benjamin Meder and colleagues from Heidelberg University Hospital! Check out the article here. Congratulations to the entire team!
AI Learns to Register Two Medical Images
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nspired by humans, we recently trained an artificial agent to perform the image registration tasks through “Supervised Action Learning”, a technique that combines Deep Learning and Reinforcement Learning under supervision. By just showing examples of aligned images, the agent could figure out how to register CT and DynaCT images together with high performance and robustness. Check out our AAAI 2017 paper, or join us at the conference in San Francisco for our oral presentation!
“An Artificial Agent for Robust Image Registration“, R. Liao et al., AAAI 2017
Paper about the research at our department
Check-out our latest paper about Cinematic Rendering, Artificial Agents for Image Understanding, and Deep Learning for Image Fusion and Physiological Computations!
“Shaping the Future through Innovations: From Medical Imaging to Precision Medicine”, Comaniciu et al., Medical Image Analysis, 2016