Jose Manuel Amigo
Cited by
Cited by
Pre-processing of hyperspectral images. Essential steps before image analysis
M Vidal, JM Amigo
Chemometrics and Intelligent Laboratory Systems 117, 138-148, 2012
Hyperspectral image analysis. A tutorial
JM Amigo, H Babamoradi, S Elcoroaristizabal
Analytica chimica acta 896, 34-51, 2015
Study of pharmaceutical samples by NIR chemical-image and multivariate analysis
JM Amigo, J Cruz, M Bautista, S Maspoch, J Coello, M Blanco
TrAC Trends in Analytical Chemistry 27 (8), 696-713, 2008
ChroMATHography: solving chromatographic issues with mathematical models and intuitive graphics
JM Amigo, T Skov, R Bro
Chemical reviews 110 (8), 4582-4605, 2010
Practical issues of hyperspectral imaging analysis of solid dosage forms
JM Amigo
Analytical and bioanalytical chemistry 398 (1), 93-109, 2010
Solving GC-MS problems with parafac2
JM Amigo, T Skov, R Bro, J Coello, S Maspoch
TrAC Trends in Analytical Chemistry 27 (8), 714-725, 2008
Direct quantification and distribution assessment of major and minor components in pharmaceutical tablets by NIR-chemical imaging
JM Amigo, C Ravn
European Journal of Pharmaceutical Sciences 37 (2), 76-82, 2009
Grading and color evolution of apples using RGB and hyperspectral imaging vision cameras
C Garrido-Novell, D Pérez-Marin, JM Amigo, J Fernández-Novales, ...
Journal of Food Engineering 113 (2), 281-288, 2012
Hyperspectral imaging and chemometrics: a perfect combination for the analysis of food structure, composition and quality
JM Amigo, I Martí, A Gowen
Data handling in science and technology 28, 343-370, 2013
Identification and quantification of turkey meat adulteration in fresh, frozen-thawed and cooked minced beef by FT-NIR spectroscopy and chemometrics
C Alamprese, JM Amigo, E Casiraghi, SB Engelsen
Meat Science 121, 175-181, 2016
Beer fermentation: Monitoring of process parameters by FT-NIR and multivariate data analysis
S Grassi, JM Amigo, CB Lyndgaard, R Foschino, E Casiraghi
Food chemistry 155, 279-286, 2014
Comprehensive analysis of chromatographic data by using PARAFAC2 and principal components analysis
JM Amigo, MJ Popielarz, RM Callejón, ML Morales, AM Troncoso, ...
Journal of Chromatography a 1217 (26), 4422-4429, 2010
Nir-chemical imaging study of acetylsalicylic acid in commercial tablets
J Cruz, M Bautista, JM Amigo, M Blanco
Talanta 80 (2), 473-478, 2009
Practical comparison of sparse methods for classification of Arabica and Robusta coffee species using near infrared hyperspectral imaging
R Calvini, A Ulrici, JM Amigo
Chemometrics and Intelligent Laboratory Systems 146, 503-511, 2015
Characterisation of hydrogen bond perturbations in aqueous systems using aquaphotomics and multivariate curve resolution-alternating least squares
AA Gowen, JM Amigo, R Tsenkova
Analytica chimica acta 759, 8-20, 2013
Classification of Sherry vinegars by combining multidimensional fluorescence, parafac and different classification approaches
RM Callejón, JM Amigo, E Pairo, S Garmón, JA Ocaña, ML Morales
Talanta 88, 456-462, 2012
Using fractal image analysis to characterize microstructure of low-fat stirred yoghurt manufactured with microparticulated whey protein
IC Torres, JMA Rubio, R Ipsen
Journal of Food Engineering 109 (4), 721-729, 2012
Fast assessment of the surface distribution of API and excipients in tablets using NIR-hyperspectral imaging
F Franch-Lage, JM Amigo, E Skibsted, S Maspoch, J Coello
International journal of pharmaceutics 411 (1-2), 27-35, 2011
HYPER-Tools. A graphical user-friendly interface for hyperspectral image analysis
N Mobaraki, JM Amigo
Chemometrics and Intelligent Laboratory Systems 172, 174-187, 2018
Detection of residues from explosive manipulation by near infrared hyperspectral imaging: A promising forensic tool
MÁF de la Ossa, JM Amigo, C García-Ruiz
Forensic science international 242, 228-235, 2014
The system can't perform the operation now. Try again later.
Articles 1–20