GRUPO DE VISIÓN Y SISTEMAS INTELIGENTES
GVIS
University of Edinburgh
Edimburgo, Reino UnidoPublicaciones en colaboración con investigadores/as de University of Edinburgh (10)
2019
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A protocol for precise comparisons of small vessel disease lesions between ex vivo magnetic resonance imaging and histopathology
International Journal of Stroke, Vol. 14, Núm. 3, pp. 310-320
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Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images
Computerized Medical Imaging and Graphics, Vol. 74, pp. 12-24
2018
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Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review
Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, Vol. 10, pp. 519-535
2017
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A computer vision approach to analyze and classify tool wear level in milling processes using shape descriptors and machine learning techniques
International Journal of Advanced Manufacturing Technology, Vol. 90, Núm. 5-8, pp. 1947-1961
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Application of texture analysis to study small vessel disease and blood-brain barrier integrity
Frontiers in Neurology, Vol. 8, Núm. JUL
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Evaluation of the State of Cutting Tools According to Its Texture Using LOSIB and LBP Variants
PROJECT MANAGEMENT AND ENGINEERING RESEARCH, AEIPRO 2016
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Multidimensional assessments of abdominal aortic aneurysms by magnetic resonance against ultrasound diameter measurements
Communications in Computer and Information Science
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Preface
Communications in Computer and Information Science
2016
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Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces
Procedia Computer Science
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Clasificación de imágenes con Bag of Visual Words
Conceptos y métodos en visión por computador (Grupo de Visión del Comité Español de Automática (CEA)), pp. 181-200