78 citations · 217 across the 8 of their papers we have counts for
4 papers · 1 filter
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction
Melanie Bernhardt, Valery Vishnevskiy, Richard Rau +1
Speed-of-sound has been shown as a potential biomarker for breast cancer imaging, successfully differentiating malignant tumors from benign ones. Speed-of-sound images can be recon…
Deep Network for Scatterer Distribution Estimation for Ultrasound Image Simulation
Lin Zhang, Valery Vishnevskiy, Orcun Goksel
Simulation-based ultrasound training can be an essential educational tool. Realistic ultrasound image appearance with typical speckle texture can be modeled as convolution of a poi…
Deep variational network for rapid 4D flow MRI reconstruction
Valery Vishnevskiy, Jonas Walheim, Sebastian Kozerke
Phase-contrast magnetic resonance imaging (MRI) provides time-resolved quantification of blood flow dynamics that can aid clinical diagnosis. Long in vivo scan times due to repeate…
Frequency-Dependent Attenuation Reconstruction with an Acoustic Reflector
Richard Rau, Ozan Unal, Dieter Schweizer +2
Attenuation of ultrasound waves varies with tissue composition, hence its estimation offers great potential for tissue characterization and diagnosis and staging of pathology. We r…