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Year | Number of Results |
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2019 | 1 |
2020 | 1 |
2021 | 3 |
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Direct deduction of chemical class from NMR spectra.
J Magn Reson. 2023 Mar;348:107381. doi: 10.1016/j.jmr.2023.107381. Epub 2023 Jan 21.
J Magn Reson. 2023.
PMID: 36706464
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.
Calderon-Ramirez S, Yang S, Moemeni A, Colreavy-Donnelly S, Elizondo DA, Oala L, Rodriguez-Capitan J, Jimenez-Navarro M, Lopez-Rubio E, Molina-Cabello MA.
Calderon-Ramirez S, et al. Among authors: colreavy donnelly s.
IEEE Access. 2021 Jun 2;9:85442-85454. doi: 10.1109/ACCESS.2021.3085418. eCollection 2021.
IEEE Access. 2021.
PMID: 34812397
Free PMC article.
Item in Clipboard
A pilot study for fragment identification using 2D NMR and deep learning.
Kuhn S, Tumer E, Colreavy-Donnelly S, Moreira Borges R.
Kuhn S, et al. Among authors: colreavy donnelly s.
Magn Reson Chem. 2022 Nov;60(11):1052-1060. doi: 10.1002/mrc.5212. Epub 2021 Sep 21.
Magn Reson Chem. 2022.
PMID: 34480494
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Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images.
Calderon-Ramirez S, Yang S, Moemeni A, Elizondo D, Colreavy-Donnelly S, Chavarría-Estrada LF, Molina-Cabello MA.
Calderon-Ramirez S, et al. Among authors: colreavy donnelly s.
Appl Soft Comput. 2021 Nov;111:107692. doi: 10.1016/j.asoc.2021.107692. Epub 2021 Jul 13.
Appl Soft Comput. 2021.
PMID: 34276263
Free PMC article.
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Applying NMR compound identification using NMRfilter to match predicted to experimental data.
Kuhn S, Colreavy-Donnelly S, de Andrade Silva Quaresma LE, de Andrade Silva Quaresma E, Borges RM.
Kuhn S, et al. Among authors: colreavy donnelly s.
Metabolomics. 2020 Nov 21;16(12):123. doi: 10.1007/s11306-020-01748-1.
Metabolomics. 2020.
PMID: 33222074
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An integrated approach for mixture analysis using MS and NMR techniques.
Kuhn S, Colreavy-Donnelly S, Santana de Souza J, Borges RM.
Kuhn S, et al. Among authors: colreavy donnelly s.
Faraday Discuss. 2019 Aug 15;218(0):339-353. doi: 10.1039/c8fd00227d.
Faraday Discuss. 2019.
PMID: 31114813
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