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Article
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Convex non-negative matrix factorization for brain tumor delimitation from MRSI data

PLoS ONE, 01 January 2012, Vol.7(10), p.e47824 [Peer Reviewed Journal]

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Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours

BMC Bioinformatics, 01 March 2012, Vol.13(1), p.38 [Peer Reviewed Journal]

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A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data

PLoS ONE, 01 January 2013, Vol.8(12), p.e83773 [Peer Reviewed Journal]

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SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system

BMC Bioinformatics, 01 February 2010, Vol.11(1), p.106 [Peer Reviewed Journal]

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The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses

BMC Bioinformatics, 01 November 2010, Vol.11(1), p.581 [Peer Reviewed Journal]

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From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML

BMC Bioinformatics, 2015, Vol.16 [Peer Reviewed Journal]

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Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke

BMC Neuroscience, 2017, Vol.18 [Peer Reviewed Journal]

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Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models

PLoS ONE, 01 January 2019, Vol.14(8), p.e0220809 [Peer Reviewed Journal]

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The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses

https://doi.org/10.1186/1471-2105-11-581

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Improving the classification of brain tumors in mice with perturbation enhanced (PE)-MRSI

BMC Proceedings, 2010, Vol.4(Suppl 2), p.P65 [Peer Reviewed Journal]

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