These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

95 related articles for article (PubMed ID: 1556933)

  • 1. Quantitative MRI studies for assessment of multiple sclerosis.
    Pannizzo F; Stallmeyer MJ; Friedman J; Jennis RJ; Zabriskie J; Plank C; Zimmerman R; Whalen JP; Cahill PT
    Magn Reson Med; 1992 Mar; 24(1):90-9. PubMed ID: 1556933
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computer-assisted identification and quantification of multiple sclerosis lesions in MR imaging volumes in the brain.
    Mitchell JR; Karlik SJ; Lee DH; Fenster A
    J Magn Reson Imaging; 1994; 4(2):197-208. PubMed ID: 8180461
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A pyramidal approach for automatic segmentation of multiple sclerosis lesions in brain MRI.
    Pachai C; Zhu YM; Grimaud J; Hermier M; Dromigny-Badin A; Boudraa A; Gimenez G; Confavreux C; Froment JC
    Comput Med Imaging Graph; 1998; 22(5):399-408. PubMed ID: 9890184
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Perspectives on multiple sclerosis.
    Grossman RI; McGowan JC
    AJNR Am J Neuroradiol; 1998 Aug; 19(7):1251-65. PubMed ID: 9726464
    [No Abstract]   [Full Text] [Related]  

  • 5. Rate of ventricular enlargement in multiple sclerosis: a nine-year magnetic resonance imaging follow-up study.
    Martola J; Stawiarz L; Fredrikson S; Hillert J; Bergstrom J; Flodmark O; Aspelin P; Kristoffersen Wiberg M
    Acta Radiol; 2008 Jun; 49(5):570-9. PubMed ID: 18568545
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Quantification of global cerebral atrophy in multiple sclerosis from 3T MRI using SPM: the role of misclassification errors.
    Dell'Oglio E; Ceccarelli A; Glanz BI; Healy BC; Tauhid S; Arora A; Saravanan N; Bruha MJ; Vartanian AV; Dupuy SL; Benedict RHB; Bakshi R; Neema M
    J Neuroimaging; 2015; 25(2):191-199. PubMed ID: 25523616
    [TBL] [Abstract][Full Text] [Related]  

  • 7. In vivo determination of multiexponential T2 relaxation in the brain of patients with multiple sclerosis.
    Armspach JP; Gounot D; Rumbach L; Chambron J
    Magn Reson Imaging; 1991; 9(1):107-13. PubMed ID: 2056848
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Quantification of multiple sclerosis lesion load and brain tissue volumetry using multiparameter MRI: methodology and reproducibility.
    Ding Z; Preiningerova J; Cannistraci CJ; Vollmer TL; Gore JC; Anderson AW
    Magn Reson Imaging; 2005 Apr; 23(3):445-52. PubMed ID: 15862645
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiple sclerosis lesion quantification using fuzzy-connectedness principles.
    Udupa JK; Wei L; Samarasekera S; Miki Y; van Buchem MA; Grossman RI
    IEEE Trans Med Imaging; 1997 Oct; 16(5):598-609. PubMed ID: 9368115
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MRI texture analysis in multiple sclerosis: toward a clinical analysis protocol.
    Harrison LC; Raunio M; Holli KK; Luukkaala T; Savio S; Elovaara I; Soimakallio S; Eskola HJ; Dastidar P
    Acad Radiol; 2010 Jun; 17(6):696-707. PubMed ID: 20457414
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluating intensity normalization on MRIs of human brain with multiple sclerosis.
    Shah M; Xiao Y; Subbanna N; Francis S; Arnold DL; Collins DL; Arbel T
    Med Image Anal; 2011 Apr; 15(2):267-82. PubMed ID: 21233004
    [TBL] [Abstract][Full Text] [Related]  

  • 12. T2 hyperintensities: findings and significance.
    Li DK; Zhao G; Paty DW
    Neuroimaging Clin N Am; 2000 Nov; 10(4):717-38 ,ix. PubMed ID: 11359721
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Quantitative follow-up of patients with multiple sclerosis using MRI: technical aspects.
    Kikinis R; Guttmann CR; Metcalf D; Wells WM; Ettinger GJ; Weiner HL; Jolesz FA
    J Magn Reson Imaging; 1999 Apr; 9(4):519-30. PubMed ID: 10232509
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Overview of imaging in multiple sclerosis and white matter disease.
    Butman JA; Frank JA
    Neuroimaging Clin N Am; 2000 Nov; 10(4):669-87 ,viii. PubMed ID: 11359718
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Numerical tissue characterization in MS via standardization of the MR image intensity scale.
    Ge Y; Udupa JK; Nyúl LG; Wei L; Grossman RI
    J Magn Reson Imaging; 2000 Nov; 12(5):715-21. PubMed ID: 11050641
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The contribution of magnetic resonance imaging in the differential diagnosis of the damage of the cerebral hemispheres.
    Grossman RI; Kappos L; Wolinsky JS
    J Neurol Sci; 2000 Jan; 172 Suppl 1():S57-62. PubMed ID: 10606809
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Correction for variations in MRI scanner sensitivity in brain studies with histogram matching.
    Wang L; Lai HM; Barker GJ; Miller DH; Tofts PS
    Magn Reson Med; 1998 Feb; 39(2):322-7. PubMed ID: 9469718
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Subcortical gray matter segmentation and voxel-based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis.
    Cobzas D; Sun H; Walsh AJ; Lebel RM; Blevins G; Wilman AH
    J Magn Reson Imaging; 2015 Dec; 42(6):1601-10. PubMed ID: 25980643
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic 3D segmentation and characterization of brain tissues in multiparametric MR image sequences.
    Handels H
    Medinfo; 1995; 8 Pt 1():696-700. PubMed ID: 8591302
    [TBL] [Abstract][Full Text] [Related]  

  • 20. On standardizing the MR image intensity scale.
    Nyúl LG; Udupa JK
    Magn Reson Med; 1999 Dec; 42(6):1072-81. PubMed ID: 10571928
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.