AIMC Topic: Magnetic Resonance Spectroscopy

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Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks.

Studies in health technology and informatics Sep 3, 2019
Magnetic Resonance Fingerprinting (MRF) is an imaging technique acquiring unique time signals for different tissues. Although the acquisition is highly accelerated, the reconstruction time remains a problem, as the state-of-the-art template matching ...
Neural Networks, Computer Algorithms Databases, Genetic Magnetic Resonance Spectroscopy
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Noise peak filtering in multi-dimensional NMR spectra using convolutional neural networks.

Bioinformatics (Oxford, England) Dec 15, 2018
MOTIVATION: Multi-dimensional NMR spectra are generally used for NMR signal assignment and structure analysis. There are several programs that can achieve highly automated NMR signal assignments and structure analysis. On the other hand, NMR spectra ...
Neural Networks, Computer Software Proteins Magnetic Resonance Spectroscopy
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Machine Learning and the Prediction of Hydrocephalus: Can Quantitative Image Analysis Assist the Clinician?

JAMA pediatrics Feb 1, 2018
Humans Machine Learning Pregnancy Female Prenatal Care Hydrocephalus Magnetic Resonance Spectroscopy
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Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.

Studies in health technology and informatics Jan 1, 2017
The purpose of this work is to evaluate methods from deep learning for application to Magnetic Resonance Fingerprinting (MRF). MRF is a recently proposed measurement technique for generating quantitative parameter maps. In MRF a non-steady state sign...
Neural Networks, Computer Machine Learning Algorithms Brain Models, Theoretical Magnetic Resonance Imaging Signal Processing, Computer-Assisted Pattern Recognition, Automated Magnetic Resonance Spectroscopy
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