CUBDL: Challenge on Ultrasound Beamforming with Deep Learning

Jun 16, 2022
Comparison of planewave reconstructions on in vivo data Reconstructions

Challenge on Ultrasound Beamforming with Deep Learning

  • Details can be found at the organisers website here.

  • Award is here.

This work was supported by Fraunhofer funding Discover 600725 UltraDeep and Prepare 601100 Theranus.

Deep Learning Ultrasound
David Sinden
Authors
David Sinden (he/him)
Senior Research Scientist

David Sinden is an applied mathematician working as a senior scientist at the Fraunhofer Institute for Digital Medicine MEVIS, in Bremen.

His research interests include ultrasound modelling, thermal ablation and pharmacokinetic models. He works within the modelling and simulation and image-guided therapy groups.