Convolutional neural networks for vibrational spectroscopic data analysis.

By Jacopo Acquarelli, T. van Laarhoven, Jan Gerretzen, Thanh N. Tran, Lutgarde M. C. Buydens, Elena Marchiori. Analytica Chimica Acta, 2017

406 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/a2d9ce7c2bdd609cba4b78080272c2b192a0e6ca

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Shuihua Wang
2. Yudong Zhang

In Molecular Biology

1. Yudong Zhang
2. Chi Chen
3. Shyue Ping Ong
4. Shuihua Wang

Citations in the corpus

• Recent advances and applications of deep learning methods in materials science (2021, background): “Interestingly, several groups have independently found that DL models outperform chemometrics analysis in vibrational spectroscopies [216, 217].”
• Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation (2019, positive): “Later, CNN has been widely applied to analyze medical images, such as choroid segmentation [29], abnormality detection [6], carcinoma nuclei grading [19], solitary cysts discrimination [17], vibrational spectroscopic data analysis [1], etc.”