48 citations · 81 across the 3 of their papers we have counts for
5 papers
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…
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…
Ultrasound Aberration Correction based on Local Speed-of-Sound Map Estimation
Richard Rau, Dieter Schweizer, Valery Vishnevskiy +1
For beamforming ultrasound (US) signals, typically a spatially constant speed-of-sound (SoS) is assumed to calculate delays. As SoS in tissue may vary relatively largely, this appr…
Attenuation Imaging with Pulse-Echo Ultrasound based on an Acoustic Reflector
Richard Rau, Ozan Unal, Dieter Schweizer +2
Ultrasound attenuation is caused by absorption and scattering in tissue and is thus a function of tissue composition, hence its imaging offers great potential for screening and dif…
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography
Valery Vishnevskiy, Richard Rau, Orcun Goksel
Tomographic image reconstruction is relevant for many medical imaging modalities including X-ray, ultrasound (US) computed tomography (CT) and photoacoustics, for which the access…