A Bayesian model of shape and appearance for subcortical brain segmentation

B Patenaude, SM Smith, DN Kennedy, M Jenkinson - Neuroimage, 2011 - Elsevier
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …
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[HTML][HTML] A Bayesian model of shape and appearance for subcortical brain segmentation

B Patenaude, SM Smith, DN Kennedy, M Jenkinson - NeuroImage, 2011 - ncbi.nlm.nih.gov
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …

A Bayesian model of shape and appearance for subcortical brain segmentation

B Patenaude, SM Smith, DN Kennedy… - …, 2011 - research.sahmri.org.au
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …

[引用][C] A Bayesian model of shape and appearance for subcortical brain segmentation

B Patenaude, SM Smith, DN Kennedy, M Jenkinson - NeuroImage, 2011 - cir.nii.ac.jp
A Bayesian model of shape and appearance for subcortical brain segmentation | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …
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[PDF][PDF] A Bayesian model of shape and appearance for subcortical brain segmentation

B Patenaudea, SM Smitha, DN Kennedyc… - Neuroimage, 2011 - academia.edu
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …

A Bayesian model of shape and appearance for subcortical brain segmentation.

B Patenaude, S Smith, D Kennedy, M Jenkinson - NeuroImage, 2011 - ora.ox.ac.uk
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …

A Bayesian model of shape and appearance for subcortical brain segmentation

B Patenaude, SM Smith, DN Kennedy… - …, 2011 - pubmed.ncbi.nlm.nih.gov
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …

A Bayesian model of shape and appearance for subcortical brain segmentation

B Patenaude, SM Smith, DN Kennedy, M Jenkinson - NeuroImage, 2011 - infona.pl
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …

A Bayesian model of shape and appearance for subcortical brain segmentation

B Patenaude, SM Smith, DN Kennedy… - 2011 - repository.escholarship.umassmed …
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …

A Bayesian model of shape and appearance for subcortical brain segmentation.

B Patenaude, SM Smith, DN Kennedy, M Jenkinson - NeuroImage, 2011 - psycnet.apa.org
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …