about
Segmentation of the human spinal cordClinically Feasible Microstructural MRI to Quantify Cervical Spinal Cord Tissue Injury Using DTI, MT, and T2*-Weighted Imaging: Assessment of Normative Data and Reliability.Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis.Framework for integrated MRI average of the spinal cord white and gray matter: the MNI-Poly-AMU template.A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio.Robust, accurate and fast automatic segmentation of the spinal cord.
P50
description
hulumtues
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onderzoeker
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researcher
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հետազոտող
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name
Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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type
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Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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Benjamin De Leener
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0000-0002-1378-2756