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Magnetic Resonance in Chemistry : MRC
|
September 4, 2021
A pilot study for fragment identification using 2D NMR and deep learning
Stefan Kuhn, Eda Tumer, Simon Colreavy-Donnelly, et al.
Faraday Discussions
|
May 23, 2019
An integrated approach for mixture analysis using MS and NMR techniques
Stefan Kuhn, Simon Colreavy-Donnelly, Juliana Santana de Souza, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|
January 27, 2023
Direct deduction of chemical class from NMR spectra
Stefan Kuhn, Carlos Cobas, Agustin Barba, et al.
Metabolomics : Official Journal of the Metabolomic Society
|
November 22, 2020
Applying NMR compound identification using NMRfilter to match predicted to experimental data
Stefan Kuhn, Simon Colreavy-Donnelly, Lucas Eliseu de Andrade Silva Quaresma, et al.
Applied Soft Computing
|
July 19, 2021
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images
Saul Calderon-Ramirez, Shengxiang Yang, Armaghan Moemeni, et al.
IEEE Access : Practical Innovations, Open Solutions
|
November 23, 2021
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images
Saul Calderon-Ramirez, Shengxiang Yang, Armaghan Moemeni, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 6) with videos related to
Sort By:
Page
of 1
Magnetic Resonance in Chemistry : MRC
|
September 4, 2021
A pilot study for fragment identification using 2D NMR and deep learning
Stefan Kuhn, Eda Tumer, Simon Colreavy-Donnelly, et al.
Faraday Discussions
|
May 23, 2019
An integrated approach for mixture analysis using MS and NMR techniques
Stefan Kuhn, Simon Colreavy-Donnelly, Juliana Santana de Souza, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|
January 27, 2023
Direct deduction of chemical class from NMR spectra
Stefan Kuhn, Carlos Cobas, Agustin Barba, et al.
Metabolomics : Official Journal of the Metabolomic Society
|
November 22, 2020
Applying NMR compound identification using NMRfilter to match predicted to experimental data
Stefan Kuhn, Simon Colreavy-Donnelly, Lucas Eliseu de Andrade Silva Quaresma, et al.
Applied Soft Computing
|
July 19, 2021
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images
Saul Calderon-Ramirez, Shengxiang Yang, Armaghan Moemeni, et al.
IEEE Access : Practical Innovations, Open Solutions
|
November 23, 2021
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images
Saul Calderon-Ramirez, Shengxiang Yang, Armaghan Moemeni, et al.
Page
of 1