Publications by the researcher in collaboration with Maria Teresa Garcia Sebastian (14)

2010

  1. A lattice computing approach for on-line fMRI analysis

    Image and Vision Computing, Vol. 28, Núm. 7, pp. 1155-1161

2009

  1. An adaptive field rule for non-parametric MRI intensity inhomogeneity estimation algorithm

    Neurocomputing, Vol. 72, Núm. 16-18, pp. 3556-3569

  2. Classification results of artificial neural networks for Alzheimer's disease detection

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

  3. Lattice independent component analysis for fMRI analysis

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

  4. On the use of morphometry based features for alzheimer's disease detection on MRI

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

  5. Results of an adaboost approach on alzheimer's disease detection on MRI

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

2008

  1. Comments on an evolutionary intensity inhomogeneity correction algorithm

    2008 IEEE Congress on Evolutionary Computation, CEC 2008

2007

  1. A parametric gradient descent MRI intensity inhomogeneity correction algorithm

    Pattern Recognition Letters, Vol. 28, Núm. 13, pp. 1657-1666

  2. Derivation of SOM-like rules for intensity inhomogeneity correction in MRI

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

  3. SOM for intensity inhomogeneity correction in MRI

    ESANN 2007 Proceedings - 15th European Symposium on Artificial Neural Networks

2006

  1. On clustering performance indices for multispectral images

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

  2. SOM and neural gas as graduated nonconvexity algorithms

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