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8 papers · 2 filters
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
Chen Qin, Jo Schlemper, Jose Caballero +3
Accelerating the data acquisition of dynamic magnetic resonance imaging (MRI) leads to a challenging ill-posed inverse problem, which has received great interest from both the sign…
Knock-Knock: Acoustic Object Recognition by using Stacked Denoising Autoencoders
Shan Luo, Leqi Zhu, Kaspar Althoefer +1
This paper presents a successful application of deep learning for object recognition based on acoustic data. The shortcomings of previously employed approaches where handcrafted fe…
A Comparative Study of the Clinical use of Motion Analysis from Kinect Skeleton Data
Sean Maudsley-Barton, Jamie McPheey, Anthony Bukowski +2
The analysis of human motion as a clinical tool can bring many benefits such as the early detection of disease and the monitoring of recovery, so in turn helping people to lead ind…
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN
Aliasghar Mortazi, Rashed Karim, Kawal Rhode +2
Anatomical and biophysical modeling of left atrium (LA) and proximal pulmonary veins (PPVs) is important for clinical management of several cardiac diseases. Magnetic resonance ima…
Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting
Jackie Ma, Maximilian März, Stephanie Funk +4
High-resolution three-dimensional (3D) cardiovascular magnetic resonance (CMR) is a valuable medical imaging technique, but its widespread application in clinical practice is hampe…
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper, Jose Caballero, Joseph V. Hajnal +2
Inspired by recent advances in deep learning, we propose a framework for reconstructing dynamic sequences of 2D cardiac magnetic resonance (MR) images from undersampled data using…