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Miguel Lastra

Showing results (1-10 of 8) with videos related to

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Enfermeria Intensiva|March 11, 2006
[The speciality in intensive care, a necessary speciality]Pedro Miguel Lastra Cubel
Neural Networks : the Official Journal of the International Neural Network Society|December 15, 2023
Optimizing dense feed-forward neural networksLuis Balderas, Miguel Lastra, José M Benítez
Talanta|January 2, 2020
Convolutional decoding of thermographic images to locate and quantify honey adulterationsManuel Izquierdo, Miguel Lastra-Mejías, Ester González-Flores, et al.
Talanta|January 11, 2019
Chaotic parameters from fluorescence spectra to resolve fraudulent mixtures of fresh and expired protected designation of origin extra virgin olive oilsMiguel Lastra-Mejías, Regina Aroca-Santos, Manuel Izquierdo, et al.
Talanta|June 17, 2019
Combination of LEDs and cognitive modeling to quantify sheep cheese whey in watercoursesMiguel Lastra-Mejias, Alberto Villa-Martinez, Manuel Izquierdo, et al.
Talanta|September 3, 2018
Chaotic parameters extracted from fluorescence spectra to quantify sheep cheese whey in natural bodies of waterManuel Izquierdo, Miguel Lastra-Mejias, Regina Aroca-Santos, et al.
Talanta|May 16, 2018
Characterization of an array of honeys of different types and botanical origins through fluorescence emission based on LEDsMiguel Lastra-Mejías, Albertina Torreblanca-Zanca, Regina Aroca-Santos, et al.
Life (Basel, Switzerland)|April 26, 2025
A Combined Approach Using T2*-Weighted Dynamic Susceptibility Contrast MRI Perfusion Parameters and Radiomics to Differentiate Between Radionecrosis and Glioma Progression: A Proof-of-Concept StudyJosé Pablo Martínez Barbero, Francisco Javier Pérez García, David López Cornejo, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Enfermeria Intensiva|March 11, 2006
[The speciality in intensive care, a necessary speciality]Pedro Miguel Lastra Cubel
Neural Networks : the Official Journal of the International Neural Network Society|December 15, 2023
Optimizing dense feed-forward neural networksLuis Balderas, Miguel Lastra, José M Benítez
Talanta|January 2, 2020
Convolutional decoding of thermographic images to locate and quantify honey adulterationsManuel Izquierdo, Miguel Lastra-Mejías, Ester González-Flores, et al.
Talanta|January 11, 2019
Chaotic parameters from fluorescence spectra to resolve fraudulent mixtures of fresh and expired protected designation of origin extra virgin olive oilsMiguel Lastra-Mejías, Regina Aroca-Santos, Manuel Izquierdo, et al.
Talanta|June 17, 2019
Combination of LEDs and cognitive modeling to quantify sheep cheese whey in watercoursesMiguel Lastra-Mejias, Alberto Villa-Martinez, Manuel Izquierdo, et al.
Talanta|September 3, 2018
Chaotic parameters extracted from fluorescence spectra to quantify sheep cheese whey in natural bodies of waterManuel Izquierdo, Miguel Lastra-Mejias, Regina Aroca-Santos, et al.
Talanta|May 16, 2018
Characterization of an array of honeys of different types and botanical origins through fluorescence emission based on LEDsMiguel Lastra-Mejías, Albertina Torreblanca-Zanca, Regina Aroca-Santos, et al.
Life (Basel, Switzerland)|April 26, 2025
A Combined Approach Using T2*-Weighted Dynamic Susceptibility Contrast MRI Perfusion Parameters and Radiomics to Differentiate Between Radionecrosis and Glioma Progression: A Proof-of-Concept StudyJosé Pablo Martínez Barbero, Francisco Javier Pérez García, David López Cornejo, et al.
Pageof 1