research
∙
06/23/2021
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation
The subject of "fairness" in artificial intelligence (AI) refers to asse...
share
research
∙
12/31/2020
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study
Convolutional neural networks (CNNs) have demonstrated promise in automa...
research
∙
04/15/2020
Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank
Purpose: To demonstrate the feasibility and performance of a fully autom...
research
∙
08/20/2019
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image
Accelerating the acquisition of magnetic resonance imaging (MRI) is a ch...
research
∙
07/02/2019
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata
Large prospective epidemiological studies acquire cardiovascular magneti...
research
∙
01/27/2019
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study
Background: The trend towards large-scale studies including population i...
research
∙
01/10/2019
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort
The exploitation of large-scale population data has the potential to imp...
research
∙
11/06/2018
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN
Cardiac magnetic resonance (CMR) images play a growing role in the diagn...
research
∙
06/11/2018
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences
Cardiac motion estimation and segmentation play important roles in quant...
research
∙
10/25/2017
