most citedPhysics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI

10 citations · 10 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2023★ 10 cited

Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI

Elena Martín-González, Ebraham Alskaf, Amedeo Chiribiri +4

First-pass perfusion cardiac magnetic resonance (FPP-CMR) is becoming an essential non-invasive imaging method for detecting deficits of myocardial blood flow, allowing the assessm…

cs.DC2018

OpenCLIPER: an OpenCL-based C++ Framework for Overhead-Reduced Medical Image Processing and Reconstruction on Heterogeneous Devices

Federico Simmross-Wattenberg, Manuel Rodríguez-Cayetano, Javier Royuela-del-Val +4

Medical image processing is often limited by the computational cost of the involved algorithms. Whereas dedicated computing devices (GPUs in particular) exist and do provide signif…