3 Result(s)
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Chapter and Conference Paper
Bayesian Deep Learning for Accelerated MR Image Reconstruction
Recently, many deep learning (DL) based MR image reconstruction methods have been proposed with promising results. However, only a handful of work has been focussing on characterising the behaviour of deep networ...
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Chapter and Conference Paper
Nonparametric Density Flows for MRI Intensity Normalisation
With the adoption of powerful machine learning methods in medical image analysis, it is becoming increasingly desirable to aggregate data that is acquired across multiple sites. However, the underlying assumpt...
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Chapter and Conference Paper
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning
Reconstructing magnetic resonance imaging (MRI) from undersampled k-space enables the accelerated acquisition of MRI but is a challenging problem. However, in many diagnostic scenarios, perfect reconstructions ar...
