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Journal Abstract Search
293 related items for PubMed ID: 17118683
1. Fast nosologic imaging of the brain. De Vos M, Laudadio T, Simonetti AW, Heerschap A, Van Huffel S. J Magn Reson; 2007 Feb; 184(2):292-301. PubMed ID: 17118683 [Abstract] [Full Text] [Related]
2. Combination of feature-reduced MR spectroscopic and MR imaging data for improved brain tumor classification. Simonetti AW, Melssen WJ, Szabo de Edelenyi F, van Asten JJ, Heerschap A, Buydens LM. NMR Biomed; 2005 Feb; 18(1):34-43. PubMed ID: 15657908 [Abstract] [Full Text] [Related]
3. Spectrum separation resolves partial-volume effect of MRSI as demonstrated on brain tumor scans. Su Y, Thakur SB, Karimi S, Du S, Sajda P, Huang W, Parra LC. NMR Biomed; 2008 Nov; 21(10):1030-42. PubMed ID: 18759383 [Abstract] [Full Text] [Related]
4. Fast nosological imaging using canonical correlation analysis of brain data obtained by two-dimensional turbo spectroscopic imaging. Laudadio T, Martínez-Bisbal MC, Celda B, Van Huffel S. NMR Biomed; 2008 May; 21(4):311-21. PubMed ID: 17907275 [Abstract] [Full Text] [Related]
5. A 3D trajectory for undersampling k-space in MRSI applications. Uribe S, Guesalaga A, Mir R, Guarini M, Irarrázaval P. Magn Reson Imaging; 2007 Apr; 25(3):350-8. PubMed ID: 17371724 [Abstract] [Full Text] [Related]
8. Segmenting brain tumors using pseudo-conditional random fields. Lee CH, Wang S, Murtha A, Brown MR, Greiner R. Med Image Comput Comput Assist Interv; 2008 Apr; 11(Pt 1):359-66. PubMed ID: 18979767 [Abstract] [Full Text] [Related]
11. Tissue segmentation and classification of MRSI data using canonical correlation analysis. Laudadio T, Pels P, De Lathauwer L, Van Hecke P, Van Huffel S. Magn Reson Med; 2005 Dec; 54(6):1519-29. PubMed ID: 16276498 [Abstract] [Full Text] [Related]
12. The use of multivariate MR imaging intensities versus metabolic data from MR spectroscopic imaging for brain tumour classification. Devos A, Simonetti AW, van der Graaf M, Lukas L, Suykens JA, Vanhamme L, Buydens LM, Heerschap A, Van Huffel S. J Magn Reson; 2005 Apr; 173(2):218-28. PubMed ID: 15780914 [Abstract] [Full Text] [Related]
14. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns. De Martino F, Valente G, Staeren N, Ashburner J, Goebel R, Formisano E. Neuroimage; 2008 Oct 15; 43(1):44-58. PubMed ID: 18672070 [Abstract] [Full Text] [Related]
15. Topology-preserving tissue classification of magnetic resonance brain images. Bazin PL, Pham DL. IEEE Trans Med Imaging; 2007 Apr 15; 26(4):487-96. PubMed ID: 17427736 [Abstract] [Full Text] [Related]
16. The effect of combining two echo times in automatic brain tumor classification by MRS. García-Gómez JM, Tortajada S, Vidal C, Julià-Sapé M, Luts J, Moreno-Torres A, Van Huffel S, Arús C, Robles M. NMR Biomed; 2008 Nov 15; 21(10):1112-25. PubMed ID: 18759382 [Abstract] [Full Text] [Related]
19. Short echo time MR spectroscopy of brain tumors: grading of cerebral gliomas by correlation analysis of normalized spectral amplitudes. Weis J, Ring P, Olofsson T, Ortiz-Nieto F, Wikström J. J Magn Reson Imaging; 2010 Jan 15; 31(1):39-45. PubMed ID: 20027571 [Abstract] [Full Text] [Related]