
-
Probabilistic 3D surface reconstruction from sparse MRI information
Surface reconstruction from magnetic resonance (MR) imaging data is indi...
read it
-
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 ...
read it
-
Quality-aware semi-supervised learning for CMR segmentation
One of the challenges in developing deep learning algorithms for medical...
read it
-
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...
read it
-
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...
read it
-
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...
read it
-
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...
read it
-
Global and Local Interpretability for Cardiac MRI Classification
Deep learning methods for classifying medical images have demonstrated i...
read it
-
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...
read it
-
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...
read it
-
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...
read it
-
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors
Surface reconstruction is a vital tool in a wide range of areas of medic...
read it
-
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...
read it