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 *

179 related articles for article (PubMed ID: 24813718)

  • 21. BOOST: a supervised approach for multiple sclerosis lesion segmentation.
    Cabezas M; Oliver A; Valverde S; Beltran B; Freixenet J; Vilanova JC; Ramió-Torrentà L; Rovira A; Lladó X
    J Neurosci Methods; 2014 Nov; 237():108-17. PubMed ID: 25194638
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. 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]  

  • 24. Non-locally regularized segmentation of multiple sclerosis lesion from multi-channel MRI data.
    Gao J; Li C; Feng C; Xie M; Yin Y; Davatzikos C
    Magn Reson Imaging; 2014 Oct; 32(8):1058-66. PubMed ID: 24948583
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using adaptive mixtures method and Markov random field model.
    Khayati R; Vafadust M; Towhidkhah F; Nabavi M
    Comput Biol Med; 2008 Mar; 38(3):379-90. PubMed ID: 18262511
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Automatic quantification of muscle volumes in magnetic resonance imaging scans of the lower extremities.
    Brunner G; Nambi V; Yang E; Kumar A; Virani SS; Kougias P; Shah D; Lumsden A; Ballantyne CM; Morrisett JD
    Magn Reson Imaging; 2011 Oct; 29(8):1065-75. PubMed ID: 21855242
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images.
    Geremia E; Clatz O; Menze BH; Konukoglu E; Criminisi A; Ayache N
    Neuroimage; 2011 Jul; 57(2):378-90. PubMed ID: 21497655
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Fully automatic detection of deep white matter T1 hypointense lesions in multiple sclerosis.
    Spies L; Tewes A; Suppa P; Opfer R; Buchert R; Winkler G; Raji A
    Phys Med Biol; 2013 Dec; 58(23):8323-37. PubMed ID: 24216694
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Contribution of white matter lesions to gray matter atrophy in multiple sclerosis: evidence from voxel-based analysis of T1 lesions in the visual pathway.
    Sepulcre J; Goñi J; Masdeu JC; Bejarano B; Vélez de Mendizábal N; Toledo JB; Villoslada P
    Arch Neurol; 2009 Feb; 66(2):173-9. PubMed ID: 19204153
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An algorithm for automatic segmentation and classification of magnetic resonance brain images.
    Erickson BJ; Avula RT
    J Digit Imaging; 1998 May; 11(2):74-82. PubMed ID: 9608930
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Accuracy and reproducibility of manual and semiautomated quantification of MS lesions by MRI.
    Ashton EA; Takahashi C; Berg MJ; Goodman A; Totterman S; Ekholm S
    J Magn Reson Imaging; 2003 Mar; 17(3):300-8. PubMed ID: 12594719
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Unified approach for multiple sclerosis lesion segmentation on brain MRI.
    Sajja BR; Datta S; He R; Mehta M; Gupta RK; Wolinsky JS; Narayana PA
    Ann Biomed Eng; 2006 Jan; 34(1):142-51. PubMed ID: 16525763
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. High field (9.4 Tesla) magnetic resonance imaging of cortical grey matter lesions in multiple sclerosis.
    Schmierer K; Parkes HG; So PW; An SF; Brandner S; Ordidge RJ; Yousry TA; Miller DH
    Brain; 2010 Mar; 133(Pt 3):858-67. PubMed ID: 20123726
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Automated tissue segmentation of MR brain images in the presence of white matter lesions.
    Valverde S; Oliver A; Roura E; González-Villà S; Pareto D; Vilanova JC; Ramió-Torrentà L; Rovira À; Lladó X
    Med Image Anal; 2017 Jan; 35():446-457. PubMed ID: 27598104
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Temporally consistent probabilistic detection of new multiple sclerosis lesions in brain MRI.
    Elliott C; Arnold DL; Collins DL; Arbel T
    IEEE Trans Med Imaging; 2013 Aug; 32(8):1490-503. PubMed ID: 23613032
    [TBL] [Abstract][Full Text] [Related]  

  • 38. MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain Lesions.
    Valcarcel AM; Linn KA; Vandekar SN; Satterthwaite TD; Muschelli J; Calabresi PA; Pham DL; Martin ML; Shinohara RT
    J Neuroimaging; 2018 Jul; 28(4):389-398. PubMed ID: 29516669
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Automatic detection of gadolinium-enhancing multiple sclerosis lesions in brain MRI using conditional random fields.
    Karimaghaloo Z; Shah M; Francis SJ; Arnold DL; Collins DL; Arbel T
    IEEE Trans Med Imaging; 2012 Jun; 31(6):1181-94. PubMed ID: 22318484
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Multiscale amplitude-modulation frequency-modulation (AM-FM) texture analysis of multiple sclerosis in brain MRI images.
    Loizou CP; Murray V; Pattichis MS; Seimenis I; Pantziaris M; Pattichis CS
    IEEE Trans Inf Technol Biomed; 2011 Jan; 15(1):119-29. PubMed ID: 21062681
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.