most citedDeep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness

13 citations · 14 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022★ 1 cited

AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound

Farnaz Khun Jush, Markus Biele, Peter M. Dueppenbecker +1

Quantitative ultrasound, e.g., speed-of-sound (SoS) in tissues, provides information about tissue properties that have diagnostic value. Recent studies showed the possibility of ex…

eess.IV2022★ 13 cited

Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness

Farnaz Khun Jush, Markus Biele, Peter M. Dueppenbecker +1

Ultrasound b-mode imaging is a qualitative approach and diagnostic quality strongly depends on operators' training and experience. Quantitative approaches can provide information a…