Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: a simulation based study

HC Külsgaard, JI Orlando, M Bendersky… - Journal of the …, 2021 - Elsevier
Abstract Single subject VBM (SS-VBM), has been used as an alternative tool to standard
VBM for single case studies. However, it has the disadvantage of producing an excessively …
被引用次数：6 相关文章

Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study

HC Külsgaard, JI Orlando, M Bendersky, JP Princich… - 2020 - ri.conicet.gov.ar
Single subject VBM (SS-VBM), has been used as an alternative tool to standard VBM for
single case studies. However, it has the disadvantage of producing an excessively large …

Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study

HC Külsgaard, JI Orlando… - Journal of the …, 2021 - pubmed.ncbi.nlm.nih.gov
Single subject VBM (SS-VBM), has been used as an alternative tool to standard VBM for
single case studies. However, it has the disadvantage of producing an excessively large …

Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study

HC Külsgaard, JI Orlando, M Bendersky… - Journal of the …, 2021 - Elsevier
Abstract Single subject VBM (SS-VBM), has been used as an alternative tool to standard
VBM for single case studies. However, it has the disadvantage of producing an excessively …

Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study.

HC Külsgaard, JI Orlando, M Bendersky… - Journal of the …, 2020 - europepmc.org
Single subject VBM (SS-VBM), has been used as an alternative tool to standard VBM for
single case studies. However, it has the disadvantage of producing an excessively large …
[PDF] academia.edu

[PDF][PDF] Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study

HC Külsgaard, JI Orlando, M Bendersky, JP Princich… - academia.edu
ABSTRACT Single subject VBM (SS-VBM), has been used as an alternative tool to standard
VBM for single case studies. However, it has the disadvantage of producing an excessively …

Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study

HC Külsgaard, JI Orlando, M Bendersky… - 2020 - notablesdelaciencia.conicet.gov.ar
Single subject VBM (SS-VBM), has been used as an alternative tool to standard VBM for
single case studies. However, it has the disadvantage of producing an excessively large …

Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study

HC Külsgaard, JI Orlando, M Bendersky… - 2020 - datosdeinvestigacion.conicet.gov.ar
Single subject VBM (SS-VBM), has been used as an alternative tool to standard VBM for
single case studies. However, it has the disadvantage of producing an excessively large …

Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study

HC Külsgaard, JI Orlando, M Bendersky… - Journal of the …, 2021 - jns-journal.com
Abstract Single subject VBM (SS-VBM), has been used as an alternative tool to standard
VBM for single case studies. However, it has the disadvantage of producing an excessively …
[PDF] researchgate.net

[PDF][PDF] Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: a simulation based study

HC Külsgaarda, JI Orlandoa, M Benderskyb… - researchgate.net
ABSTRACT Single subject VBM (SS-VBM), has been used as an alternative tool to standard
VBM for single case studies. However, it has the disadvantage of producing an excessively …