2 citations · 2 across the 2 of their papers we have counts for
4 papers
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients
Zhen Yuan, Esther Puyol-Anton, Haran Jogeesvaran +3
Sickle Cell Disease (SCD) is one of the most common genetic diseases in the world. Splenomegaly (abnormal enlargement of the spleen) is frequent among children with SCD. If left un…
Quality-aware semi-supervised learning for CMR segmentation
Bram Ruijsink, Esther Puyol-Anton, Ye Li +4
One of the challenges in developing deep learning algorithms for medical image segmentation is the scarcity of annotated training data. To overcome this limitation, data augmentati…
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space
lkay Oksuz, James Clough, Bram Ruijsink +7
In fully sampled cardiac MR (CMR) acquisitions, motion can lead to corruption of k-space lines, which can result in artefacts in the reconstructed images. In this paper, we propose…
Global and Local Interpretability for Cardiac MRI Classification
James R. Clough, Ilkay Oksuz, Esther Puyol-Anton +3
Deep learning methods for classifying medical images have demonstrated impressive accuracy in a wide range of tasks but often these models are hard to interpret, limiting their app…