Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.
about
Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRISegmentation of the human spinal cordSpinal Cord Segmentation by One Dimensional Normalized Template Matching: A Novel, Quantitative Technique to Analyze Advanced Magnetic Resonance Imaging Data.Reliable volumetry of the cervical spinal cord in MS patient follow-up data with cord image analyzer (Cordial).Spinal cord grey matter segmentation challengeSpinal Cord as an Adjunct to Brain Magnetic Resonance Imaging in Defining "No Evidence of Disease Activity" in Multiple Sclerosis.Spinal cord normalization in multiple sclerosis.In vivo imaging of spinal cord atrophy in neuroinflammatory diseases.Relationships between quantitative spinal cord MRI and retinal layers in multiple sclerosis.Fast and accurate semi-automated segmentation method of spinal cord MR images at 3T applied to the construction of a cervical spinal cord templateThe effect of intramuscular interferon beta-1a on spinal cord volume in relapsing-remitting multiple sclerosisFully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis.Fully automated grey and white matter spinal cord segmentation.The Effect of Glatiramer Acetate on Spinal Cord Volume in Relapsing-Remitting Multiple Sclerosis.On computerized methods for spine analysis in MRI: a systematic review.Image-guidance technology and the surgical resection of spinal column tumors.The Role of T1-Weighted Derived Measures of Neurodegeneration for Assessing Disability Progression in Multiple Sclerosis.Atlas-Free Cervical Spinal Cord Segmentation on Midsagittal T2-Weighted Magnetic Resonance Images.Subject-specific regional measures of water diffusion are associated with impairment in chronic spinal cord injury.
P2860
Q26767048-F739DDE0-BB2C-4211-8B62-4EE219DAD25FQ27007796-D5B416E8-090B-415B-8377-FE3C365DB196Q31002585-A999D322-07F5-4021-B053-55389B151E37Q31094277-7BBD9C3F-C053-4408-8617-AD737949E770Q33714539-25974511-CFB3-4A43-B3C4-3142037148CAQ33769234-44E37770-3249-4C32-A2EB-CC15D759751FQ34143450-A5C98F64-3C12-4C1E-A8D7-2B8E3DB60ABBQ34195686-C43D45DE-A633-470D-B30B-7C873F1357A4Q35106595-8B689273-DE4F-4D8F-8D47-B494F689B77EQ35225368-4B0386DC-B3F9-4607-88A4-9110BFD24383Q36156669-37E325A5-DD03-4423-89A8-9B00EE70FBA0Q36369640-DA6D5D6F-4DC7-437D-B048-4426B1322D76Q37370692-0861E748-A86C-43D7-A317-CD4D2CC7B186Q37596025-27AE7B27-5859-4BA0-889B-4305F04C8E3FQ38727905-AEADC1DD-4805-457C-96AA-65B91A15620FQ39023171-D6B35671-F549-4611-A4DA-C7420279B834Q41475478-135CC530-8748-4823-9D5D-2FAD2D5B5245Q43065332-4352DAC7-B5FF-4BB6-8056-B0D828CE2183Q48011912-8D1F7547-F1D8-4688-B345-E57C91545124
P2860
Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 06 August 2013
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Automatic magnetic resonance s ...... s for variable fields of view.
@en
Automatic magnetic resonance s ...... s for variable fields of view.
@nl
type
label
Automatic magnetic resonance s ...... s for variable fields of view.
@en
Automatic magnetic resonance s ...... s for variable fields of view.
@nl
prefLabel
Automatic magnetic resonance s ...... s for variable fields of view.
@en
Automatic magnetic resonance s ...... s for variable fields of view.
@nl
P2093
P2860
P1433
P1476
Automatic magnetic resonance s ...... s for variable fields of view.
@en
P2093
Aaron Carass
Daniel S Reich
Dzung L Pham
Govind Nair
Jerry L Prince
P2860
P304
P356
10.1016/J.NEUROIMAGE.2013.07.060
P407
P577
2013-08-06T00:00:00Z