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Journal Abstract Search

311 related items for PubMed ID: 15182848

  • 41. Robust discrimination of glioblastomas from metastatic brain tumors on the basis of single-voxel (1)H MRS.
    Vellido A, Romero E, Julià-Sapé M, Majós C, Moreno-Torres Á, Pujol J, Arús C.
    NMR Biomed; 2012 Jun; 25(6):819-28. PubMed ID: 22081447
    [Abstract] [Full Text] [Related]

  • 42. Classification of 1H MR spectra of human brain neoplasms: the influence of preprocessing and computerized consensus diagnosis on classification accuracy.
    Somorjai RL, Dolenko B, Nikulin AK, Pizzi N, Scarth G, Zhilkin P, Halliday W, Fewer D, Hill N, Ross I, West M, Smith IC, Donnelly SM, Kuesel AC, Brière KM.
    J Magn Reson Imaging; 1996 Jun; 6(3):437-44. PubMed ID: 8724408
    [Abstract] [Full Text] [Related]

  • 43. Comparison of 1H-MRS-detected metabolic characteristics in single metastatic brain tumors of different origin.
    Chernov MF, Ono Y, Kubo O, Hori T.
    Brain Tumor Pathol; 2006 Apr; 23(1):35-40. PubMed ID: 18095117
    [Abstract] [Full Text] [Related]

  • 44. Reducing multiclass cancer classification to binary by output coding and SVM.
    Shen L, Tan EC.
    Comput Biol Chem; 2006 Feb; 30(1):63-71. PubMed ID: 16321568
    [Abstract] [Full Text] [Related]

  • 45. MRS quality assessment in a multicentre study on MRS-based classification of brain tumours.
    van der Graaf M, Julià-Sapé M, Howe FA, Ziegler A, Majós C, Moreno-Torres A, Rijpkema M, Acosta D, Opstad KS, van der Meulen YM, Arús C, Heerschap A.
    NMR Biomed; 2008 Feb; 21(2):148-58. PubMed ID: 17458918
    [Abstract] [Full Text] [Related]

  • 46. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.
    Asl BM, Setarehdan SK, Mohebbi M.
    Artif Intell Med; 2008 Sep; 44(1):51-64. PubMed ID: 18585905
    [Abstract] [Full Text] [Related]

  • 47. Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra.
    Tate AR, Underwood J, Acosta DM, Julià-Sapé M, Majós C, Moreno-Torres A, Howe FA, van der Graaf M, Lefournier V, Murphy MM, Loosemore A, Ladroue C, Wesseling P, Luc Bosson J, Cabañas ME, Simonetti AW, Gajewicz W, Calvar J, Capdevila A, Wilkins PR, Bell BA, Rémy C, Heerschap A, Watson D, Griffiths JR, Arús C.
    NMR Biomed; 2006 Jun; 19(4):411-34. PubMed ID: 16763971
    [Abstract] [Full Text] [Related]

  • 48. Brain tumor classification by proton MR spectroscopy: comparison of diagnostic accuracy at short and long TE.
    Majós C, Julià-Sapé M, Alonso J, Serrallonga M, Aguilera C, Acebes JJ, Arús C, Gili J.
    AJNR Am J Neuroradiol; 2004 Jun; 25(10):1696-704. PubMed ID: 15569733
    [Abstract] [Full Text] [Related]

  • 49. [Rule induction algorithm for brain glioma using support vector machine].
    Li G, Yang J, Wang J, Geng D.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Apr; 23(2):410-2. PubMed ID: 16706378
    [Abstract] [Full Text] [Related]

  • 50. A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method.
    Zou KH, Resnic FS, Talos IF, Goldberg-Zimring D, Bhagwat JG, Haker SJ, Kikinis R, Jolesz FA, Ohno-Machado L.
    J Biomed Inform; 2005 Oct; 38(5):395-403. PubMed ID: 16198998
    [Abstract] [Full Text] [Related]

  • 51. CARSVM: a class association rule-based classification framework and its application to gene expression data.
    Kianmehr K, Alhajj R.
    Artif Intell Med; 2008 Sep; 44(1):7-25. PubMed ID: 18586476
    [Abstract] [Full Text] [Related]

  • 52. Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study.
    Lima CA, Coelho AL.
    Artif Intell Med; 2011 Oct; 53(2):83-95. PubMed ID: 21852077
    [Abstract] [Full Text] [Related]

  • 53. Support Vectors Machine-based identification of heart valve diseases using heart sounds.
    Maglogiannis I, Loukis E, Zafiropoulos E, Stasis A.
    Comput Methods Programs Biomed; 2009 Jul; 95(1):47-61. PubMed ID: 19269056
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  • 54. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
    Chen Z, Li J, Wei L.
    Artif Intell Med; 2007 Oct; 41(2):161-75. PubMed ID: 17851055
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  • 55. An application of methods for the probabilistic three-class classification of pregnancies of unknown location.
    Van Calster B, Condous G, Kirk E, Bourne T, Timmerman D, Van Huffel S.
    Artif Intell Med; 2009 Jun; 46(2):139-54. PubMed ID: 19157812
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  • 56. Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines.
    Lu C, Van Gestel T, Suykens JA, Van Huffel S, Vergote I, Timmerman D.
    Artif Intell Med; 2003 Jul; 28(3):281-306. PubMed ID: 12927337
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  • 57. White box radial basis function classifiers with component selection for clinical prediction models.
    Van Belle V, Lisboa P.
    Artif Intell Med; 2014 Jan; 60(1):53-64. PubMed ID: 24262978
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  • 58. Quantitative combination of volumetric MR imaging and MR spectroscopy data for the discrimination of meningiomas from metastatic brain tumors by means of pattern recognition.
    Georgiadis P, Kostopoulos S, Cavouras D, Glotsos D, Kalatzis I, Sifaki K, Malamas M, Solomou E, Nikiforidis G.
    Magn Reson Imaging; 2011 May; 29(4):525-35. PubMed ID: 21315534
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  • 59. Support vector machines classification for discriminating coronary heart disease patients from non-coronary heart disease.
    Hongzong S, Tao W, Xiaojun Y, Huanxiang L, Zhide H, Mancang L, BoTao F.
    West Indian Med J; 2007 Oct; 56(5):451-7. PubMed ID: 18303759
    [Abstract] [Full Text] [Related]

  • 60. Classifying large chemical data sets: using a regularized potential function method.
    Mussa HY, Hawizy L, Nigsch F, Glen RC.
    J Chem Inf Model; 2011 Jan 24; 51(1):4-14. PubMed ID: 21155612
    [Abstract] [Full Text] [Related]

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