3 papers
eess.IV2019
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…
cs.CV2018
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…
cs.CV2018
Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging
Valery Vishnevskiy, Sergio J Sanabria, Orcun Goksel
Speed-of-sound is a biomechanical property for quantitative tissue differentiation, with great potential as a new ultrasound-based image modality. A conventional ultrasound array t…