Computer Vision News - May 2022

31 Vatsala Sharma a lot of back and forth between us! ” Winning a Best Paper Award is an outstanding achievement, especially as this was Vatsala’s first oral presentation at a big conference. Congratulations! What does she think convinced the jury? “ I think it’s the novelty of combining traditional statistical approaches with more modern techniques, ” she tells us. “ Expectation-maximization is a very old technique used in different fields over many years. We’re combining that with the far more recent field of deep learning. ” Despite living in India, Vatsala presented her work virtually as she could not travel to Kolkata due to issues related to the pandemic. Overview of the framework proposed in the paper. DEM stands for Deep Expectation Maximization which uses paired low-dose and full-dose PET-CT images. The ssDEM framework is its semi-supervised version which additionally utilizes data where no full-dose images are available. Some qualitative results produced by the ssDEM framework, compared against UNet (a fully supervised framework) and N2N+UNet (a semi-supervised framework we proposed as a baseline).