271 citations · 320 across the 6 of their papers we have counts for
3 papers · 1 filter
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
Nick Byrne, James R Clough, Isra Valverde +2
Multi-class segmentation of cardiac magnetic resonance (CMR) images seeks a separation of data into anatomical components with known structure and configuration. The most popular C…
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI
Nick Byrne, James R. Clough, Giovanni Montana +1
With respect to spatial overlap, CNN-based segmentation of short axis cardiovascular magnetic resonance (CMR) images has achieved a level of performance consistent with inter obser…
Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR
Nick Byrne, James R. Clough, Isra Valverde +2
Patient-specific 3D printing of congenital heart anatomy demands an accurate segmentation of the thin tissue interfaces which characterise these diagnoses. Even when a label set ha…