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IEEE Transactions on Bio-Medical Engineering|February 11, 2009
Preprocessing methods of Raman spectra for source extraction on biomedical samples: application on paraffin-embedded skin biopsiesCyril Gobinet, Valeriu Vrabie, Michel Manfait, et al.
BMC Bioinformatics|November 12, 2022
Machine learning techniques on homological persistence features for prostate cancer diagnosisAbbas Rammal, Rabih Assaf, Alban Goupil, et al.
Mathematical Biosciences|May 18, 2017
Selection of discriminant mid-infrared wavenumbers by combining a naïve Bayesian classifier and a genetic algorithm: Application to the evaluation of lignocellulosic biomass biodegradationAbbas Rammal, Eric Perrin, Valeriu Vrabie, et al.
BMC Biomedical Engineering|April 1, 2025
Topological data analysis and machine learning for COVID-19 detection in CT scan lung imagesRabih Assaf, Abbas Rammal, Alban Goupil, et al.
Scientific Data|December 17, 2025
Multi-annual spectral data of Chardonnay grapevine leaves presenting yellows diseases and confounding symptomsShurong Zhang, Eric Perrin, Valeriu Vrabie, et al.
Applied Spectroscopy|May 28, 2009
Digital dewaxing of Raman signals: discrimination between nevi and melanoma spectra obtained from paraffin-embedded skin biopsiesAli Tfayli, Cyril Gobinet, Valeriu Vrabie, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Pre-processing and source separation methods for Raman spectra analysis of biomedical samplesCyril Gobinet, Valeriu Vrabie, Ali Tfayli, et al.
Applied Spectroscopy|December 10, 2015
Evaluation of Lignocellulosic Biomass Degradation by Combining Mid- and Near-Infrared Spectra by the Outer Product and Selecting Discriminant Wavenumbers Using a Genetic AlgorithmAbbas Rammal, Eric Perrin, Brigitte Chabbert, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|March 2, 2011
Automation of an algorithm based on fuzzy clustering for analyzing tumoral heterogeneity in human skin carcinoma tissue sectionsDavid Sebiskveradze, Valeriu Vrabie, Cyril Gobinet, et al.
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