Nicholas Byrne
Orcid: 0000-0003-3401-9570
According to our database1,
Nicholas Byrne authored at least 7 papers
between 2019 and 2026.
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Bibliography
2026
Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift.
CoRR, April, 2026
2023
A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR.
IEEE Trans. Medical Imaging, 2023
2022
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
2021
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR.
CoRR, 2021
2020
A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
2019
Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology.
Proceedings of the Information Processing in Medical Imaging, 2019