Adelino R Ferreira da Silva

Summary

Affiliation: Universidade Nova de Lisboa
Country: Portugal

Publications

  1. ncbi request reprint A Dirichlet process mixture model for brain MRI tissue classification
    Adelino R Ferreira da Silva
    Electrical Engineering Department, Universidade Nova de Lisboa, Rua Dr Bastos Goncalves, N 5, 10A, 1600 100 Lisboa, Portugal
    Med Image Anal 11:169-82. 2007
  2. doi request reprint Bayesian mixture models of variable dimension for image segmentation
    Adelino R Ferreira da Silva
    Electrical Engineering Department, Universidade Nova de Lisboa, Rua Dr Bastos Goncalves, N 5, 10A, 1600 898 Lisboa, Portugal
    Comput Methods Programs Biomed 94:1-14. 2009
  3. doi request reprint A Bayesian multilevel model for fMRI data analysis
    Adelino R Ferreira da Silva
    Dep de Eng Electrot├ęcnica, Faculdade de Ciencias e Tecnologia, FCT, Universidade Nova de Lisboa, Caparica, Portugal
    Comput Methods Programs Biomed 102:238-52. 2011

Detail Information

Publications3

  1. ncbi request reprint A Dirichlet process mixture model for brain MRI tissue classification
    Adelino R Ferreira da Silva
    Electrical Engineering Department, Universidade Nova de Lisboa, Rua Dr Bastos Goncalves, N 5, 10A, 1600 100 Lisboa, Portugal
    Med Image Anal 11:169-82. 2007
    ..The results are compared with similar results from other well-known MRI segmentation methods...
  2. doi request reprint Bayesian mixture models of variable dimension for image segmentation
    Adelino R Ferreira da Silva
    Electrical Engineering Department, Universidade Nova de Lisboa, Rua Dr Bastos Goncalves, N 5, 10A, 1600 898 Lisboa, Portugal
    Comput Methods Programs Biomed 94:1-14. 2009
    ..The preference given to the Dirichlet process mixture model is discussed...
  3. doi request reprint A Bayesian multilevel model for fMRI data analysis
    Adelino R Ferreira da Silva
    Dep de Eng Electrot├ęcnica, Faculdade de Ciencias e Tecnologia, FCT, Universidade Nova de Lisboa, Caparica, Portugal
    Comput Methods Programs Biomed 102:238-52. 2011
    ..The characteristics of the proposed model are evaluated by considering its application to two real data sets...