48 citations · 154 across the 10 of their papers we have counts for
4 papers · 1 filter
Learning the Imaging Model of Speed-of-Sound Reconstruction via a Convolutional Formulation
Can Deniz Bezek, Maxim Haas, Richard Rau +1
Speed-of-sound (SoS) is an emerging ultrasound contrast modality, where pulse-echo techniques using conventional transducers offer multiple benefits. For estimating tissue SoS dist…
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…
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…
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…