Advantages of using both voxel-and surface-based morphometry in cortical morphology analysis: a review of various applications

M Goto, O Abe, A Hagiwara, S Fujita… - … Resonance in Medical …, 2022 - jstage.jst.go.jp
In addition, we introduce two other recent methods as future directions for estimating cortical
morphological changes: a multi-modal parcellation method using structural and functional …
被引用次数：61 相关文章

[引用][C] Advantages of Using Both Voxel-and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications

M Goto, O Abe, A Hagiwara, S Fujita… - … in Medical Sciences, 2022 - jglobal.jst.go.jp
Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology
Analysis: A Review of Various Applications | Article Information | J-GLOBAL Art J-GLOBAL ID:202202219233442786 …

Advantages of Using Both Voxel-and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications.

M Goto, O Abe, A Hagiwara, S Fujita… - … in Medical Sciences, 2022 - search.ebscohost.com
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical
morphology, such as volume, thickness, area, and gyrification, whereas voxel-based …

Advantages of Using Both Voxel-and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications

M Goto, O Abe, A Hagiwara, S Fujita… - Magnetic …, 2022 - tohoku.elsevierpure.com
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical
morphology, such as volume, thickness, area, and gyrification, whereas voxel-based …

Advantages of Using Both Voxel-and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications

M Goto, O Abe, A Hagiwara, S Fujita… - … : MRMS: an official …, 2022 - pubmed.ncbi.nlm.nih.gov
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical
morphology, such as volume, thickness, area, and gyrification, whereas voxel-based …
[HTML] nih.gov

[HTML][HTML] Advantages of Using Both Voxel-and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications

M Goto, O Abe, A Hagiwara, S Fujita… - … in Medical Sciences, 2022 - ncbi.nlm.nih.gov
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical
morphology, such as volume, thickness, area, and gyrification, whereas voxel-based …

Advantages of Using Both Voxel-and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications

G Masami, A Osamu, H Akifumi, F Shohei… - Magnetic Resonance in …, 2022 - cir.nii.ac.jp
抄録< p> Surface-based morphometry (SBM) is extremely useful for estimating the indices of
cortical morphology, such as volume, thickness, area, and gyrification, whereas voxel-based …

Advantages of Using Both Voxel-and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications

M Goto, O Abe, A Hagiwara, S Fujita… - … Resonance in Medical …, 2022 - jstage.jst.go.jp
In addition, we introduce two other recent methods as future directions for estimating cortical
morphological changes: a multi-modal parcellation method using structural and functional …

Advantages of Using Both Voxel-and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications.

M Goto, O Abe, A Hagiwara, S Fujita… - … in Medical Sciences …, 2022 - europepmc.org
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical
morphology, such as volume, thickness, area, and gyrification, whereas voxel-based …

Advantages of Using Both Voxel-and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications.

M Goto, O Abe, A Hagiwara, S Fujita… - … in Medical Sciences …, 2022 - europepmc.org
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical
morphology, such as volume, thickness, area, and gyrification, whereas voxel-based …