Francisco José
Fernández Cañavate
Profesor Titular de Universidad
Universidad Miguel Hernández de Elche
Elche, EspañaPublicaciones en colaboración con investigadores/as de Universidad Miguel Hernández de Elche (12)
2021
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Analysis of the Accuracy of Reconstruction of a Human Cornea by Two Geometric Modelling Techniques: A Comparative Study
Lecture Notes in Mechanical Engineering
2020
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Morphogeometric analysis for characterization of keratoconus considering the spatial localization and projection of apex and minimum corneal thickness point
Journal of Advanced Research, Vol. 24, pp. 261-271
2019
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Detección del queratocono temprano mediante modelado 3D personalizado y análisis de sus parámetros geométricos
Revista DYNA, Vol. 94, Núm. 2, pp. 175-181
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Detection of Subclinical Keratoconus Using Biometric Parameters
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018
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Assessment of pattern and shape symmetry of bilateral normal corneas by scheimpflug technology
Symmetry, Vol. 10, Núm. 10
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Study and characterization of morphogeometric parameters to assist diagnosis of keratoconus
BioMedical Engineering Online, Vol. 17
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Study of morpho-geometric variables to improve the diagnosis in Keratoconus with mild visual limitation
Symmetry, Vol. 10, Núm. 8
2017
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A new approach to keratoconus detection based on corneal morphogeometric analysis
PLoS ONE, Vol. 12, Núm. 9
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A study for parametric morphogeometric operators to assist the detection of keratoconus
Symmetry, Vol. 9, Núm. 12
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Geometric modelling of the human cornea: A new approach for the study of corneal ectatic disease. A pilot investigation
Bioinformatics and Biomedical Engineering (Lecture Notes in Computer Science)
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Keratoconus Detection Based on a New Corneal Volumetric Analysis
Scientific Reports, Vol. 7, Núm. 1
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Keratoconus diagnosis by patient-specific 3D modelling and geometric parameters analysis
Intelligent Computing Theories and Application (Lecture Notes in Computer Science)