CLS MSc student Aleksandr Sarachakov has co-authored a paper “Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning” that has been recently published in IEEE Xplore journal. The study has been conducted in collaboration with the students of Center for Computational and Data-Intensive Science and Engineering, Skoltech, under the supervision of professor Dmitry Dylov. Full text of the paper is available here.