research
∙
08/26/2023
Bias in Unsupervised Anomaly Detection in Brain MRI
Unsupervised anomaly detection methods offer a promising and flexible al...
share
research
∙
08/25/2023
An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation
In medical imaging, artificial intelligence (AI) is increasingly being u...
research
∙
08/15/2023
Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views
Abnormal spleen enlargement (splenomegaly) is regarded as a clinical ind...
research
∙
09/28/2022
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging
Flow analysis carried out using phase contrast cardiac magnetic resonanc...
research
∙
09/04/2022
A systematic study of race and sex bias in CNN-based cardiac MR segmentation
In computer vision there has been significant research interest in asses...
research
∙
08/05/2022
Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions
In many low-to-middle income (LMIC) countries, ultrasound is used for as...
research
∙
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...
research
∙
05/02/2022
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis
Cine cardiac magnetic resonance (CMR) imaging is considered the gold sta...
research
∙
03/21/2022
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography
Left ventricular (LV) function is an important factor in terms of patien...
research
∙
09/22/2021
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images
Domain shift refers to the difference in the data distribution of two da...
research
∙
09/20/2021
Improved AI-based segmentation of apical and basal slices from clinical cine CMR
Current artificial intelligence (AI) algorithms for short-axis cardiac m...
research
∙
09/16/2021
Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data
Cine cardiac MRI is routinely acquired for the assessment of cardiac hea...
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...
research
∙
10/05/2020
Probabilistic 3D surface reconstruction from sparse MRI information
Surface reconstruction from magnetic resonance (MR) imaging data is indi...
research
∙
09/06/2020
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients
Sickle Cell Disease (SCD) is one of the most common genetic diseases in ...
research
∙
09/01/2020
Quality-aware semi-supervised learning for CMR segmentation
One of the challenges in developing deep learning algorithms for medical...
research
∙
01/31/2020
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control
Tissue characterisation with CMR parametric mapping has the potential to...
research
∙
10/11/2019
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
Segmenting anatomical structures in medical images has been successfully...
research
∙
10/11/2019
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentatio
Segmenting anatomical structures in medical images has been successfully...
research
∙
08/13/2019
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders
Maintaining good cardiac function for as long as possible is a major con...
research
∙
06/14/2019
Global and Local Interpretability for Cardiac MRI Classification
Deep learning methods for classifying medical images have demonstrated i...
research
∙
06/12/2019
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space
In fully sampled cardiac MR (CMR) acquisitions, motion can lead to corru...
research
∙
10/29/2018
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
Good quality of medical images is a prerequisite for the success of subs...
research
∙
08/15/2018
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection
Quality assessment of medical images is essential for complete automatio...
research
∙
07/30/2018
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors
Surface reconstruction is a vital tool in a wide range of areas of medic...
research
∙
07/27/2018
