Deep Variational Networks with Exponential Weighting for Learning Computed Tomography

13 June 2019

Papers citing "Deep Variational Networks with Exponential Weighting for Learning Computed Tomography"

6 / 6 papers shown

Title
OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing Firat Ozdemir Berkan Lafci X. L. Deán-Ben D. Razansky Fernando Perez-Cruz 22 5 0 17 Jun 2022
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations Mareike Thies Fabian Wagner Mingxuan Gu Lukas Folle Lina Felsner Andreas Maier 34 4 0 19 Jan 2022
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction Mélanie Bernhardt V. Vishnevskiy R. Rau O. Goksel OOD 54 23 0 25 Jun 2020
Deep Network for Scatterer Distribution Estimation for Ultrasound Image Simulation Lin Zhang V. Vishnevskiy O. Goksel OOD 67 15 0 17 Jun 2020
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images Yixing Huang Alexander Preuhs M. Manhart G. Lauritsch Andreas Maier MedIm 153 5 0 20 May 2020
Deep variational network for rapid 4D flow MRI reconstruction V. Vishnevskiy Jonas Walheim Sebastian Kozerke 61 69 0 20 Apr 2020