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Recent advances in deep learning algorithms have triggered increased interest in applying machine learning techniques in all areas of signal processing. While classical machine learning approaches applying prior knowledge learned from training or navigator data are an integral part of many MR reconstruction techniques, following the success of deep learning approaches in the field of image processing, neural networks are now also increasingly used in MR image reconstruction. This talk will consider several different applications of machine learning in MRI reconstruction.
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Machine Learning in MRI Reconstruction
Recent advances in deep learning algorithms have triggered increased interest in applying machine learning techniques in all areas of signal processing. While classical machine learning approaches applying prior knowledge learned from training or navigator data are an integral part of many MR reconstruction techniques, following the success of deep learning approaches in the field of image processing, neural networks are now also increasingly used in MR image reconstruction. This talk will consider several different applications of machine learning in MRI reconstruction.