Nicholas Byrne

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology

Ilkay Öksüz, Julia A. Schnabel, Veronika A. Zimmer, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Explicit topological priors for deep-learning based image segmentation using persistent homology pdf

Ilkay Öksüz, Julia A. Schnabel, James R. Clough, 2019, IPMI.

A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR

G. Montana, A. King, J. Clough, 2021, IEEE Transactions on Medical Imaging.

A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI

G. Montana, A. King, J. Clough, 2020, M&Ms and EMIDEC/STACOM@MICCAI.

A systematic review of image segmentation methodology, used in the additive manufacture of patient-specific 3D printed models of the cardiovascular system

I. Valverde, T. Hussain, N. Byrne, 2016, JRSM cardiovascular disease.