Publikationen in Zusammenarbeit mit Forschern von Universidade de Vigo (20)

2024

  1. Cognitive and clinical predictors of a long-term course in obsessive compulsive disorder: A machine learning approach in a prospective cohort study

    Journal of Affective Disorders, Vol. 350, pp. 648-655

  2. Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing

    Applied Intelligence, Vol. 54, Núm. 20, pp. 9906-9923

  3. Software BreastAnalyser for the semi-automatic analysis of breast cancer immunohistochemical images

    Scientific reports, Vol. 14, Núm. 1, pp. 2995

2022

  1. A Machine Learning Approach in Autism Spectrum Disorders: From Sensory Processing to Behavior Problems

    Frontiers in Molecular Neuroscience, Vol. 15

  2. Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients

    Frontiers in Neuroinformatics, Vol. 16

2021

  1. Sterapp: Semiautomatic software for stereological analysis. application in the estimation of fish fecundity

    Electronics (Switzerland), Vol. 10, Núm. 12

2017

  1. Influence of normalization and color space to color texture classification

    Pattern Recognition, Vol. 61, pp. 120-138

2016

  1. Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images

    Computers and Electronics in Agriculture, Vol. 125, pp. 89-98

2015

  1. A multi-platform graphical software for determining reproductive parameters in fishes using histological image analysis

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2013

  1. Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary

    Pattern Recognition, Vol. 46, Núm. 9, pp. 2391-2407

2011

  1. Statistical and wavelet based texture features for fish oocytes classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2008

  1. Recognize and classify fish oocytes in histological images

    Proceedings of the 8th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2008

2007

  1. Age reading of cod otoliths based on image morphing, filtering and fourier analysis

    Proceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007

2006

  1. Automatic detection and classification of grains of pollen based on shape and texture

    IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Vol. 36, Núm. 4, pp. 531-542

2005

  1. Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics

    Computer Vision and Image Understanding, Vol. 98, Núm. 2, pp. 344-360

2004

  1. Classification of honeybee pollen using a multiscale texture filtering scheme

    Machine Vision and Applications, Vol. 15, Núm. 4, pp. 186-193

  2. Computer-aided identification of allergenic species of Urticaceae pollen

    Grana, Vol. 43, Núm. 4, pp. 224-230

  3. Pollen classification using brightness-based and shape-based descriptors

    Proceedings - International Conference on Pattern Recognition

2003

  1. Magnetic resonance imaging as a predictive tool for sensory characteristics and intramuscular fat content of dry-cured loin

    Journal of the Science of Food and Agriculture, Vol. 83, Núm. 4, pp. 268-274

2001

  1. Magnetic Resonance Imaging to classify loin from Iberian pig

    MAGNETIC RESONANCE IN FOOD SCIENCE