activity
20162023
most citedA Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology

271 citations · 603 across the 47 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

eess.IV2022

Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging

Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez +11

Flow analysis carried out using phase contrast cardiac magnetic resonance imaging (PC-CMR) enables the quantification of important parameters that are used in the assessment of car…

eess.IV2022★ 1 cited

Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT

Sam Ellis, Octavio E. Martinez Manzanera, Vasileios Baltatzis +6

GANs are able to model accurately the distribution of complex, high-dimensional datasets, e.g. images. This makes high-quality GANs useful for unsupervised anomaly detection in med…

eess.IV2022★ 1 cited

Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View

Veronika A. Zimmer, Alberto Gomez, Emily Skelton +10

Automatic segmentation of the placenta in fetal ultrasound (US) is challenging due to the (i) high diversity of placenta appearance, (ii) the restricted quality in US resulting in…

cs.CV2022★ 1 cited

What do we learn? Debunking the Myth of Unsupervised Outlier Detection

Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel

Even though auto-encoders (AEs) have the desirable property of learning compact representations without labels and have been widely applied to out-of-distribution (OoD) detection,…

eess.IV2022

A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis

Inês P. Machado, Esther Puyol-Antón, Kerstin Hammernik +10

Cine cardiac magnetic resonance (CMR) imaging is considered the gold standard for cardiac function evaluation. However, cine CMR acquisition is inherently slow and in recent decade…