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20132021
most citedA Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology

271 citations · 549 across the 18 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

eess.IV2020

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…

eess.IV2020★ 30 cited

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction

Esther Puyol-Antón, Chen Chen, James R. Clough +9

Advances in deep learning (DL) have resulted in impressive accuracy in some medical image classification tasks, but often deep models lack interpretability. The ability of these mo…