2 papers
cs.CV2020
Estimating and abstracting the 3D structure of bones using neural networks on X-ray (2D) images
Jana Čavojská, Julian Petrasch, Nicolas J. Lehmann +2
In this paper, we present a deep-learning based method for estimating the 3D structure of a bone from a pair of 2D X-ray images. Our triplet loss-trained neural network selects the…
q-bio.QM2018
Reconstructing the visual perception of honey bees in complex 3-D worlds
Johannes Polster, Julian Petrasch, Randolf Menzel +1
Over the last decades, honeybees have been a fascinating model to study insect navigation. While there is some controversy about the complexity of underlying neural correlates, the…