5 citations · 9 across the 3 of their papers we have counts for
3 papers
Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection
Andreea Bianca Popescu, Andreas Seitz, Heiko Mahrholdt +5
Objectives Parametric tissue mapping enables quantitative cardiac tissue characterization but is limited by inter-observer variability during manual delineation. Traditional approa…
Towards a vision foundation model for comprehensive assessment of Cardiac MRI
Athira J Jacob, Indraneel Borgohain, Teodora Chitiboi +3
Cardiac magnetic resonance imaging (CMR), considered the gold standard for noninvasive cardiac assessment, is a diverse and complex modality requiring a wide variety of image proce…
Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery
Seung Su Yoon, Elisabeth Preuhs, Michaela Schmidt +7
Static cardiac imaging such as late gadolinium enhancement, mapping, or 3-D coronary angiography require prior information, e.g., the phase during a cardiac cycle with least motion…