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Golpelichi, Fatemeh, Parastar, Hadi (2023) Quantitative Mass Spectrometry Imaging Using Multivariate Curve Resolution and Deep Learning: A Case Study. Journal of the American Society for Mass Spectrometry, 34 (2) 236-244 doi:10.1021/jasms.2c00268

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Reference TypeJournal (article/letter/editorial)
TitleQuantitative Mass Spectrometry Imaging Using Multivariate Curve Resolution and Deep Learning: A Case Study
JournalJournal of the American Society for Mass Spectrometry
AuthorsGolpelichi, FatemehAuthor
Parastar, HadiAuthor
Year2023 (February 1)Volume34
Issue2
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/jasms.2c00268Search in ResearchGate
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Mindat Ref. ID15692982Long-form Identifiermindat:1:5:15692982:2
GUID0
Full ReferenceGolpelichi, Fatemeh, Parastar, Hadi (2023) Quantitative Mass Spectrometry Imaging Using Multivariate Curve Resolution and Deep Learning: A Case Study. Journal of the American Society for Mass Spectrometry, 34 (2) 236-244 doi:10.1021/jasms.2c00268
Plain TextGolpelichi, Fatemeh, Parastar, Hadi (2023) Quantitative Mass Spectrometry Imaging Using Multivariate Curve Resolution and Deep Learning: A Case Study. Journal of the American Society for Mass Spectrometry, 34 (2) 236-244 doi:10.1021/jasms.2c00268
In(2023, February) Journal of the American Society for Mass Spectrometry Vol. 34 (2) American Chemical Society (ACS)

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