5 papers · 1 filter
Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks
Sonia Laguna, Lin Zhang, Can Deniz Bezek +4
Speed-of-sound (SoS) is a biomechanical characteristic of tissue, and its imaging can provide a promising biomarker for diagnosis. Reconstructing SoS images from ultrasound acquisi…
Unpaired Translation from Semantic Label Maps to Images by Leveraging Domain-Specific Simulations
Lin Zhang, Tiziano Portenier, Orcun Goksel
Photorealistic image generation from simulated label maps are necessitated in several contexts, such as for medical training in virtual reality. With conventional deep learning met…
Deep Image Translation for Enhancing Simulated Ultrasound Images
Lin Zhang, Tiziano Portenier, Christoph Paulus +1
Ultrasound simulation based on ray tracing enables the synthesis of highly realistic images. It can provide an interactive environment for training sonographers as an educational t…
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…
Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging
Lin Zhang, Valery Vishnevskiy, Andras Jakab +1
Intravoxel incoherent motion (IVIM) imaging allows contrast-agent free in vivo perfusion quantification with magnetic resonance imaging (MRI). However, its use is limited by typica…