activity
20152026
most citedReal-time Prediction of Segmentation Quality

13 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Reviving our data foundations is the most disruptive step to data maturity

Valentina Carapella, Ernesto Jimenez-Ruiz

The most disruptive step that enterprises of small-medium size and maturity can take to make the most of the latest technological advances in AI is to step back from the hype and f…

cs.CV2019★ 1 cited

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study

Robert Robinson, Vanya V. Valindria, Wenjia Bai +19

Background: The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic proc…

cs.CV2018★ 13 cited

Real-time Prediction of Segmentation Quality

Robert Robinson, Ozan Oktay, Wenjia Bai +17

Recent advances in deep learning based image segmentation methods have enabled real-time performance with human-level accuracy. However, occasionally even the best method fails due…

cs.CV2017★ 4 cited

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Wenjia Bai, Matthew Sinclair, Giacomo Tarroni +20

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accura…

q-bio.TO2015★ 2 cited

Mathematical Modelling of Heart Rate Changes in the Mouse

Mark Christie, Manasi Nandi, Yanika Borg +7

The CVS is composed of numerous interacting and dynamically regulated physiological subsystems which each generate measurable periodic components such that the CVS can itself be pr…