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The purpose of the study was to evaluate brain myelination by measuring the magnetization transfer ratio (MTR) and to measure grey (GMV) and white matter volume (WMV) in macrocephalic children with neurofibromatosis type 1 (NF1). Seven NF1 patients (aged 0.65-16.67 years) and seven age- and gender-matched controls were studied. A three-dimensional (3D)(More)
  • K. Blekas, D. Kontoravdisy, A. Likasz, P. Karakitsosx
  • 1998
A diagnostic system is presented that employs morphometry combined with a fuzzy neural network approach, for the discrimination of benign from malignant gastric lesions. The input to the system consists of images of routine processed gastric smears stained by Papanicolaou technique. The analysis of the images provided a data set of cell features. The fuzzy(More)
A neural network classiier using fuzzy set representation of pattern classes is presented. Network construction and learning is performed incrementally in a single pass by building an aggregate of space-lling regions that constitutes a simpliied variant of the construction known as Dirichlet tesselation (or Voronoi diagram). Each region is delimited by a(More)
This paper presents an incremental approach for training a Markov mixture model to a set of sequences of discrete states. Starting from a single Markov model that captures the background information, at each step a new component is added to the mixture in order to improve the data fit. This is done by making at first an exploration of a relevant parametric(More)
In this paper a new maximum a posteriori (MAP) approach based on mixtures of multinomials is proposed for discovering probabilistic motifs in sequences. The main advantage of the proposed methodology is the ability to bypass the problem of overlapping motif occurrences among neighborhood positions in sequences through the use of a Markov Random Field (MRF)(More)