Quantification of metabolites using machine learning and other techniques, and spectroscopy pulse sequence development via quantum control.
Projects with this topic
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MR spectral quantification using convoloutional neural networks.
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A set of utilities to deal with dicom files and data repositories.
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LWFIT code for GABA quantification from MEGA-PRESS magnetic resonance spectra (MRS).
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Magnetic resonance spectroscopy data for a series of phantoms specifically designed to provide ground truth data for MEGAPRESS spectra quantification.
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MRSNet CNN model selection data.
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MRSNet basis data.
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MRSNet simulated spectra data.
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MRSNet best models.
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YAE model selection data for MRSNet.
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Evaluation results (metrics and plots) for additional model architectures from the literature that are integrated into MRSNet.
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Results from comparing simulated basis spectra against the phantom benchmark to quantify the sim2real gap.
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Information about the magnetic resonance spectroscopy projects and summary of published results.
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