most citedEnd-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.CV2020★ 3 cited

End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences

Raphaël Royer-Rivard, Fantin Girard, Nagib Dahdah +1

Dynamic reconstructions (3D+T) of coronary arteries could give important perfusion details to clinicians. Temporal matching of the different views, which may not be acquired simult…