Nicholas Byrne

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 4

Top Topics

Unsupervised Learning

Persistent Homology

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

James R. Clough, Nicholas Byrne, Ilkay Öksüz, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. IPMI (2019)
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. CoRR (2019)
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
Explicit topological priors for deep-learning based image segmentation using persistent homology. CoRR (2019)