about
An algorithmic approach to structural imaging in dementiaAn evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's diseaseAdvances in MRI biomarkers for the diagnosis of Alzheimer's disease.Structural Magnetic Resonance Imaging Markers of Alzheimer's Disease and Its Retranslation to Rodent Models.Effect of Fingolimod on Brain Volume Loss in Patients with Multiple Sclerosis.MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI ScansEstablishing pathological cut-offs of brain atrophy rates in multiple sclerosis.Brain MRI abnormalities in the adult form of myotonic dystrophy type 1: A longitudinal case series studyEvaluating response to disease-modifying therapy in relapsing multiple sclerosis.3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse.Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.SIENA-XL for improving the assessment of gray and white matter volume changes on brain MRI.'Timed up and go' and brain atrophy: a preliminary MRI study to assess functional mobility performance in multiple sclerosis.MP2RAGE for deep gray matter measurement of the brain: A comparative study with MPRAGE.Brain Volume Estimation Enhancement by Morphological Image Processing Tools.Automatic brain segmentation using fractional signal modeling of a multiple flip angle, spoiled gradient-recalled echo acquisition.Fast CSF MRI for brain segmentation; Cross-validation by comparison with 3D T1-based brain segmentation methods.
P2860
Q27025567-6CDB45EB-2157-4FFC-B65B-FDF1FAC2DEC2Q28651736-D65B1ED6-8362-465E-B0D8-9E22C8EBD322Q30870223-57AEF641-D5DE-494B-96EA-F67578E6D72DQ30996675-AC91E8C1-3A03-4EBB-8A24-F8F716AE806BQ36293431-305E381E-1EA6-400F-A904-CF3476D5B43AQ36374500-80247E17-13E1-46B1-AF25-A0754C2C1A00Q36475759-51396744-B5D4-4407-9A2E-0C5E74B0D6B4Q37161897-55C21ABE-4400-4C28-B6A6-8A3F413C73D8Q38375605-51655BE1-BFEA-4D74-9AB5-7D8A6930A9C7Q41968916-0BA27636-02A2-4415-89C0-7283AE790B87Q46690305-14C978E5-E46D-48A9-86DE-FE5297CADE5FQ47339115-C8688BA1-C0CD-442E-B8FE-BD74642CCB5BQ47686650-6B4715FA-6BB4-4237-93EB-458F990FDAE3Q48150161-F09AE7DC-AD78-4372-B64A-0838EAB23723Q49995085-C20C2ABB-0B09-4674-B23E-630E195FB1FCQ51101392-9BA419E1-F687-4DDE-8770-CB5CD8BDF4C4Q55100469-E92A7E9C-465D-486D-9911-607475ADF0D2
P2860
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Clinical use of brain volumetry.
@ast
Clinical use of brain volumetry.
@en
type
label
Clinical use of brain volumetry.
@ast
Clinical use of brain volumetry.
@en
prefLabel
Clinical use of brain volumetry.
@ast
Clinical use of brain volumetry.
@en
P2860
P356
P1476
Clinical use of brain volumetry.
@en
P2093
Antonio Giorgio
P2860
P356
10.1002/JMRI.23671
P577
2013-01-01T00:00:00Z