EpiMCDMahalData/datacite.yml

authors:
  -
    firstname: Gyula
    lastname: Gyebnár
    affiliation: 'MR Research Center, Semmelweis University, Budapest, Hungary'
    id: 'ORCID:0000-0003-4411-2330'
  -
    firstname: Zoltán
    lastname: Klimaj
    affiliation: 'MR Research Center, Semmelweis University, Budapest, Hungary'
    id: 'ORCID:0000-0001-9700-5382'
  -
    firstname: László
    lastname: Entz
    affiliation: 'National Institute of Clinical Neurosciences, Budapest, Hungary'
  -
    firstname: Dániel
    lastname: Fabó
    affiliation: 'National Institute of Clinical Neurosciences, Budapest, Hungary '
  -
    firstname: Gábor
    lastname: Rudas
    affiliation: 'MR Research Center, Semmelweis University, Budapest, Hungary'
    id: 'ORCID:0000-0001-2345-6789'
  -
    firstname: Péter
    lastname: Barsi
    affiliation: 'MR Research Center, Semmelweis University, Budapest, Hungary'
    id: 'ORCID:0000-0001-2345-6789'
  -
    firstname: 'Lajos Rudolf'
    lastname: Kozák
    affiliation: 'MR Research Center, Semmelweis University, Budapest, Hungary'
    id: 'ORCID:0000-0003-0368-3663'
title: 'Epilepsy DTI Microstructural Evaluation Mahalanobis Dataset'
description: "Shared data related to the in review PLoS One manuscript: \nPersonalized microstructural evaluation using a Mahalanobis-distance based outlier detection strategy on epilepsy patients’ DTI data – theory, simulations and example cases, \nby G Gyebnár , Z Klimaj, L Entz, D Fabó, G Rudas, P Barsi & LR Kozák\n"
keywords:
  - MRI
  - 'Magnetic Resonance Imaging'
  - DTI
  - 'Diffusion Tensor Imaging'
  - Neuroradiology
  - Neurorimaging
  - Epilepsy
  - 'Malformations of Cortical Development'
  - 'Brain Microstructure'
  - 'Microstructural analysis'
  - 'White Matter'
  - 'Gray Matter'
  - 'Grey Matter'
  - MCD
  - Postprocessing
  - MAP07
  - 'Image Processing'
  - 'Image Statistics'
  - 'Mahalanobis Distance'
  - 'Multidimensional Statistics'
  - 'Epileptic lesion Detection'
  - 'Lesion Detection'
  - 'Single Patient Statistics'
license:
  name: 'Creative Commons Attribution 4.0 International Public License'
  url: 'https://creativecommons.org/licenses/by/4.0/'
funding:
  - 'Ministry of Human Capacities Hungary, EFOP-3.6.3-VEKOP-16-2017-00009'
  - 'Hungarian National Brain Research Program, KTIA/NAP_13-1-2013-0001:5'
  - 'Hungarian National Brain Research Program, 2017-1.2.1-NKP-2017-00002'
  - 'National Research, Development and Innovation Office Hungary, K128040'
  - 'Hungarian Academy of Sciences, Bolyai Research Fellowship Program'
references:
  -
    id: 'doi:yy.xxx/zzzz'
    reftype: IsSupplementTo
    name: 'Personalized microstructural evaluation using a Mahalanobis-distance based outlier detection strategy on epilepsy patients’ DTI data – theory, simulations and example cases, by G Gyebnár , Z Klimaj, L Entz, D Fabó, G Rudas, P Barsi & LR Kozák'
resourcetype: Dataset