Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. - James R. Clough; Ilkay Öksüz; Nicholas Byrne; Julia A. Schnabel; Andrew P. King (IPMI, 2019)

Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. - Nick Byrne; James R. Clough; Isra Valverde; Giovanni Montana; Andrew P. King (SUSI/PIPPI@MICCAI, 2019)

A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. - Nick Byrne; James R. Clough; Giovanni Montana; Andrew P. King (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. - Nick Byrne; James R. Clough; Isra Valverde; Giovanni Montana; Andrew P. King (CoRR, 2021)

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. - James R. Clough; Nicholas Byrne; Ilkay Öksüz; Veronika A. Zimmer; Julia A. Schnabel; Andrew P. King (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. - Nick Byrne; James R. Clough; Israel Valverde; Giovanni Montana; Andrew P. King (IEEE Trans. Medical Imaging, 2023)