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08/26/2023
Bias in Unsupervised Anomaly Detection in Brain MRI
Unsupervised anomaly detection methods offer a promising and flexible al...
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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...
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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...
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06/07/2023
Automatic retrieval of corresponding US views in longitudinal examinations
Skeletal muscle atrophy is a common occurrence in critically ill patient...
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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...
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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...
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08/13/2022
A Study of Demographic Bias in CNN-based Brain MR Segmentation
Convolutional neural networks (CNNs) are increasingly being used to auto...
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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...
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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...
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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...
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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...
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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...
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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...
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07/27/2021
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
Multi-class segmentation of cardiac magnetic resonance (CMR) images seek...
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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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12/02/2020
Channel Attention Networks for Robust MR Fingerprinting Matching
Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of ...
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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 ...
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09/01/2020
Quality-aware semi-supervised learning for CMR segmentation
One of the challenges in developing deep learning algorithms for medical...
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08/21/2020
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI
With respect to spatial overlap, CNN-based segmentation of short axis ca...
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05/02/2020
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations
The goal of this work is to train a neural network which approximates so...
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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...
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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...
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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...
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10/04/2019
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
We introduce a method for training neural networks to perform image or v...
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09/24/2019
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
AUTOMAP is a promising generalized reconstruction approach, however, it ...
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08/23/2019
Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR
Patient-specific 3D printing of congenital heart anatomy demands an accu...
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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...
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06/14/2019
Global and Local Interpretability for Cardiac MRI Classification
Deep learning methods for classifying medical images have demonstrated i...
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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...
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05/17/2019
Mechanically Powered Motion Imaging Phantoms: Proof of Concept
Motion imaging phantoms are expensive, bulky and difficult to transport ...
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01/29/2019
Explicit topological priors for deep-learning based image segmentation using persistent homology
We present a novel method to explicitly incorporate topological prior kn...
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12/19/2018
Magnetic Resonance Fingerprinting using Recurrent Neural Networks
Magnetic Resonance Fingerprinting (MRF) is a new approach to quantitativ...
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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...
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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...
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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...
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07/27/2018
Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas
The availability of large scale databases containing imaging and non-ima...
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04/24/2018
