Heartfelt congratulations to Julian for winning the best oral presentation at STACOM 2019, a satellite workshop of MICCAI 2019, for his work on “Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI“. Well done!
Inspired 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