Single-Step Preprocessing of Raman Spectra Using Convolutional Neural Networks

The impact of signal pre-processing on the final interpretation of analytical outcomes – A tutorial

(2018) Paolo Oliveri et al.   ANALYTICA CHIMICA ACTA

Chemometric Methods for Spectroscopy-Based Pharmaceutical Analysis

(2018) Alessandra Biancolillo et al.   Frontiers in Chemistry

Comparative Analysis of a Principal Component Analysis-Based and an Artificial Neural Network-Based Method for Baseline Removal

(2016) Roberto C. Carvajal et al.   APPLIED SPECTROSCOPY

Model-based pre-processing in Raman spectroscopy of biological samples

(2016) Kristian Hovde Liland et al.   JOURNAL OF RAMAN SPECTROSCOPY

A Two-Dimensionally Coincident Second Difference Cosmic Ray Spike Removal Method for the Fully Automated Processing of Raman Spectra

(2014) H. Georg Schulze et al.   APPLIED SPECTROSCOPY

A Hybrid Least Squares and Principal Component Analysis Algorithm for Raman Spectroscopy

(2012) Dominique Van de Sompel et al.   PLoS One

SVD-based method for intensity normalization, background correction and solvent subtraction in Raman spectroscopy exploiting the properties of water stretching vibrations

(2011) Jan Palacký et al.   JOURNAL OF RAMAN SPECTROSCOPY

Application of Raman microscopy and band-target entropy minimization to identify minor components in model pharmaceutical tablets

(2007) Effendi Widjaja et al.   JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS

Artificial neural networks in chemometrics: History, examples and perspectives

(2007) F. Marini et al.   MICROCHEMICAL JOURNAL