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- 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 MCD Mahalanobis Dataset'
- description: "Shared data related to the in review PLoS 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
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