Literature DB >> 23868167

The "peeking" effect in supervised feature selection on diffusion tensor imaging data.

S Diciotti1, S Ciulli, M Mascalchi, M Giannelli, N Toschi.   

Abstract

Mesh：

Year:  2013        PMID： 23868167      PMCID： PMC7965616          DOI： 10.3174/ajnr.A3685

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN： 0195-6108            Impact factor:   3.825


× No keyword cloud information.
  4 in total

1.  Individual classification of mild cognitive impairment subtypes by support vector machine analysis of white matter DTI.

Authors:  S Haller; P Missonnier; F R Herrmann; C Rodriguez; M-P Deiber; D Nguyen; G Gold; K-O Lovblad; P Giannakopoulos
Journal:  AJNR Am J Neuroradiol       Date:  2012-09-13       Impact factor: 3.825

Review 2.  Machine learning classifiers and fMRI: a tutorial overview.

Authors:  Francisco Pereira; Tom Mitchell; Matthew Botvinick
Journal:  Neuroimage       Date:  2008-11-21       Impact factor: 6.556

3.  Pitfalls of supervised feature selection.

Authors:  Pawel Smialowski; Dmitrij Frishman; Stefan Kramer
Journal:  Bioinformatics       Date:  2009-10-29       Impact factor: 6.937

4.  Identification of mild Alzheimer's disease through automated classification of structural MRI features.

Authors:  Stefano Diciotti; Andrea Ginestroni; Valentina Bessi; Marco Giannelli; Carlo Tessa; Laura Bracco; Mario Mascalchi; Nicola Toschi
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012
  4 in total
  3 in total

1.  Toward a more reliable characterization of fractal properties of the cerebral cortex of healthy subjects during the lifespan.

Authors:  Chiara Marzi; Marco Giannelli; Carlo Tessa; Mario Mascalchi; Stefano Diciotti
Journal:  Sci Rep       Date:  2020-10-12       Impact factor: 4.379

2.  The incremental value of computed tomography of COVID-19 pneumonia in predicting ICU admission.

Authors:  Maurizio Bartolucci; Matteo Benelli; Margherita Betti; Sara Bicchi; Luca Fedeli; Federico Giannelli; Donatella Aquilini; Alessio Baldini; Guglielmo Consales; Massimo Edoardo Di Natale; Pamela Lotti; Letizia Vannucchi; Michele Trezzi; Lorenzo Nicola Mazzoni; Sandro Santini; Roberto Carpi; Daniela Matarrese; Luca Bernardi; Mario Mascalchi
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

Review 3.  Machine Learning in Orthopedics: A Literature Review.

Authors:  Federico Cabitza; Angela Locoro; Giuseppe Banfi
Journal:  Front Bioeng Biotechnol       Date:  2018-06-27
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.