most citedFReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2023

Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction

Olivier Jaubert, Michele Pascale, Javier Montalt-Tordera +6

Purpose: To develop and assess a deep learning (DL) pipeline to learn dynamic MR image reconstruction from publicly available natural videos (Inter4K). Materials and Methods: Learn…

cs.CV2022★ 8 cited

FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation

Olivier Jaubert, Javier Montalt-Tordera, James Brown +4

Purpose: Real-time monitoring of cardiac output (CO) requires low latency reconstruction and segmentation of real-time phase contrast MR (PCMR), which has previously been difficult…