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05/03/2023
Commentary on explainable artificial intelligence methods: SHAP and LIME
eXplainable artificial intelligence (XAI) methods have emerged to conver...
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04/04/2023
Characterizing the contribution of dependent features in XAI methods
Explainable Artificial Intelligence (XAI) provides tools to help underst...
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06/15/2022
Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis
INTRODUCTION: Artificial intelligence (AI) has the potential to facilita...
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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...
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12/31/2020
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study
Convolutional neural networks (CNNs) have demonstrated promise in automa...
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07/21/2020
A radiomics approach to analyze cardiac alterations in hypertension
Hypertension is a medical condition that is well-established as a risk f...
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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...
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09/25/2019
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI
Use expert visualization or conventional clinical indices can lack accur...
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09/03/2019
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI
Accurate segmentation of the cardiac boundaries in late gadolinium enhan...
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08/20/2019
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image
Accelerating the acquisition of magnetic resonance imaging (MRI) is a ch...
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07/05/2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
In the recent years, convolutional neural networks have transformed the ...
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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...
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02/15/2019
Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank
We perform unsupervised analysis of image-derived shape and motion featu...
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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...
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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...
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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...
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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...
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10/25/2017
Human-level CMR image analysis with deep fully convolutional networks
Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...
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10/20/2016