activity
20202022
most citedFully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank

48 citations · 80 across the 9 of their papers we have counts for

collaborators

9 papers

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…

eess.IV2022★ 1 cited

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces

Simon Dahan, Hao Xu, Logan Z. J. Williams +10

Recent state-of-the-art performances of Vision Transformers (ViT) in computer vision tasks demonstrate that a general-purpose architecture, which implements long-range self-attenti…

eess.IV2021

Whole Heart Anatomical Refinement from CCTA using Extrapolation and Parcellation

Hao Xu, Steven A. Niederer, Steven E. Williams +3

Coronary computed tomography angiography (CCTA) provides detailed an-atomical information on all chambers of the heart. Existing segmentation tools can label the gross anatomy, but…

eess.IV2021★ 19 cited

Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis

Avan Suinesiaputra, Charlene A Mauger, Bharath Ambale-Venkatesh +9

The shape and motion of the heart provide essential clues to understanding the mechanisms of cardiovascular disease. With the advent of large-scale cardiac imaging data, statistica…

eess.IV2021

The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images

Devran Ugurlu, Esther Puyol-Anton, Bram Ruijsink +5

Domain shift refers to the difference in the data distribution of two datasets, normally between the training set and the test set for machine learning algorithms. Domain shift is…

eess.IV2021

Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data

Ines Machado, Esther Puyol-Anton, Kerstin Hammernik +8

Cine cardiac MRI is routinely acquired for the assessment of cardiac health, but the imaging process is slow and typically requires several breath-holds to acquire sufficient k-spa…