BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 18786795)

  • 1. Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of magnetic resonance images.
    Theocharakis P; Glotsos D; Kalatzis I; Kostopoulos S; Georgiadis P; Sifaki K; Tsakouridou K; Malamas M; Delibasis G; Cavouras D; Nikiforidis G
    Magn Reson Imaging; 2009 Apr; 27(3):417-22. PubMed ID: 18786795
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Texture analysis for tissue discrimination on T1-weighted MR images of the knee joint in a multicenter study: Transferability of texture features and comparison of feature selection methods and classifiers.
    Mayerhoefer ME; Breitenseher MJ; Kramer J; Aigner N; Hofmann S; Materka A
    J Magn Reson Imaging; 2005 Nov; 22(5):674-80. PubMed ID: 16215966
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel method for automatic determination of different stages of multiple sclerosis lesions in brain MR FLAIR images.
    Khayati R; Vafadust M; Towhidkhah F; Nabavi SM
    Comput Med Imaging Graph; 2008 Mar; 32(2):124-33. PubMed ID: 18055174
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine.
    Yamamoto D; Arimura H; Kakeda S; Magome T; Yamashita Y; Toyofuku F; Ohki M; Higashida Y; Korogi Y
    Comput Med Imaging Graph; 2010 Jul; 34(5):404-13. PubMed ID: 20189353
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images.
    Juntu J; Sijbers J; De Backer S; Rajan J; Van Dyck D
    J Magn Reson Imaging; 2010 Mar; 31(3):680-9. PubMed ID: 20187212
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Effects of magnetic resonance image interpolation on the results of texture-based pattern classification: a phantom study.
    Mayerhoefer ME; Szomolanyi P; Jirak D; Berg A; Materka A; Dirisamer A; Trattnig S
    Invest Radiol; 2009 Jul; 44(7):405-11. PubMed ID: 19465863
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A computer-aided diagnostic system to discriminate SPIO-enhanced magnetic resonance hepatocellular carcinoma by a neural network classifier.
    Guo D; Qiu T; Bian J; Kang W; Zhang L
    Comput Med Imaging Graph; 2009 Dec; 33(8):588-92. PubMed ID: 19656655
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated computer differential classification in Parkinsonian Syndromes via pattern analysis on MRI.
    Duchesne S; Rolland Y; Vérin M
    Acad Radiol; 2009 Jan; 16(1):61-70. PubMed ID: 19064213
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of suspicious nipple discharge by magnetic resonance mammography based on breast imaging reporting and data system magnetic resonance imaging descriptors.
    Tokuda Y; Kuriyama K; Nakamoto A; Choi S; Yutani K; Kunitomi Y; Haneda T; Kawai M; Masuda N; Takeda M; Nakamura H
    J Comput Assist Tomogr; 2009; 33(1):58-62. PubMed ID: 19188786
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Generation of connectivity-preserving surface models of multiple sclerosis lesions.
    Meruvia-Pastor O; Xiao M; Soh J; Sensen CW
    Stud Health Technol Inform; 2011; 163():359-65. PubMed ID: 21335819
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A wavelet-based optimal texture feature set for classification of brain tumours.
    Sasikala M; Kumaravel N
    J Med Eng Technol; 2008; 32(3):198-205. PubMed ID: 18432467
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Voxel-based iterative sensitivity (VBIS) analysis: methods and a validation of intensity scaling for T2-weighted imaging of hippocampal sclerosis.
    Abbott DF; Pell GS; Pardoe H; Jackson GD
    Neuroimage; 2009 Feb; 44(3):812-9. PubMed ID: 18996207
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An approach to comparing accuracies of two FLAIR MR sequences in the detection of multiple sclerosis lesions in the brain in the absence of gold standard.
    Bilello M; Suri N; Krejza J; Woo JH; Bagley LJ; Mamourian AC; Vossough A; Chen JY; Millian BR; Mulderink T; Markowitz CE; Melhem ER
    Acad Radiol; 2010 Jun; 17(6):686-95. PubMed ID: 20457413
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Enhancing the discrimination accuracy between metastases, gliomas and meningiomas on brain MRI by volumetric textural features and ensemble pattern recognition methods.
    Georgiadis P; Cavouras D; Kalatzis I; Glotsos D; Athanasiadis E; Kostopoulos S; Sifaki K; Malamas M; Nikiforidis G; Solomou E
    Magn Reson Imaging; 2009 Jan; 27(1):120-30. PubMed ID: 18602785
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression?
    Bergouignan L; Chupin M; Czechowska Y; Kinkingnéhun S; Lemogne C; Le Bastard G; Lepage M; Garnero L; Colliot O; Fossati P
    Neuroimage; 2009 Mar; 45(1):29-37. PubMed ID: 19071222
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Differentiation of common large sellar-suprasellar masses effect of artificial neural network on radiologists' diagnosis performance.
    Kitajima M; Hirai T; Katsuragawa S; Okuda T; Fukuoka H; Sasao A; Akter M; Awai K; Nakayama Y; Ikeda R; Yamashita Y; Yano S; Kuratsu J; Doi K
    Acad Radiol; 2009 Mar; 16(3):313-20. PubMed ID: 19201360
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Are signal intensity and homogeneity useful parameters for distinguishing between benign and malignant soft tissue masses on MR images? Objective evaluation by means of texture analysis.
    Mayerhoefer ME; Breitenseher M; Amann G; Dominkus M
    Magn Reson Imaging; 2008 Nov; 26(9):1316-22. PubMed ID: 18448302
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Characterization of breast cancer types by texture analysis of magnetic resonance images.
    Holli K; Lääperi AL; Harrison L; Luukkaala T; Toivonen T; Ryymin P; Dastidar P; Soimakallio S; Eskola H
    Acad Radiol; 2010 Feb; 17(2):135-41. PubMed ID: 19945302
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Textures in magnetic resonance images of the ischemic rat brain treated with an anti-inflammatory agent.
    Chen G; Strzelecki M; Pang Q; Kim H; Stødkilde-Jørgensen H
    Clin Imaging; 2010; 34(1):7-13. PubMed ID: 20122513
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.