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1081 related items for PubMed ID: 19465863
1. 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 [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 [Abstract] [Full Text] [Related]
3. Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI. Madabhushi A, Feldman MD, Metaxas DN, Tomaszeweski J, Chute D. IEEE Trans Med Imaging; 2005 Dec; 24(12):1611-25. PubMed ID: 16350920 [Abstract] [Full Text] [Related]
4. Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: an application-oriented study. Mayerhoefer ME, Szomolanyi P, Jirak D, Materka A, Trattnig S. Med Phys; 2009 Apr; 36(4):1236-43. PubMed ID: 19472631 [Abstract] [Full Text] [Related]
5. A phantom study on component segregation for MR images using ICA. Miyakoshi M, Tomiyasu M, Bagarinao E, Murakami S, Nakai T. Acad Radiol; 2009 Aug; 16(8):1025-8. PubMed ID: 19427799 [Abstract] [Full Text] [Related]
7. A wavelet-based optimal texture feature set for classification of brain tumours. Sasikala M, Kumaravel N. J Med Eng Technol; 2008 Aug; 32(3):198-205. PubMed ID: 18432467 [Abstract] [Full Text] [Related]
8. Automatic segmentation of magnetic resonance images using a decision tree with spatial information. Chao WH, Chen YY, Lin SH, Shih YY, Tsang S. Comput Med Imaging Graph; 2009 Mar; 33(2):111-21. PubMed ID: 19097854 [Abstract] [Full Text] [Related]
9. Parallel imaging enhanced MR colonography using a phantom model. Morrin MM, Pedrosa I, McKenzie CA, Farrell RJ, Bloch N, Solazzo S, Ngo L, Goldberg SN, Rofsky NM. J Magn Reson Imaging; 2008 Sep; 28(3):664-72. PubMed ID: 18777549 [Abstract] [Full Text] [Related]
10. Texture analysis and classification with linear regression model based on wavelet transform. Wang ZZ, Yong JH. IEEE Trans Image Process; 2008 Aug; 17(8):1421-30. PubMed ID: 18632350 [Abstract] [Full Text] [Related]
11. 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 [Abstract] [Full Text] [Related]
12. A new method for registration-based medical image interpolation. Frakes DH, Dasi LP, Pekkan K, Kitajima HD, Sundareswaran K, Yoganathan AP, Smith MJ. IEEE Trans Med Imaging; 2008 Mar; 27(3):370-7. PubMed ID: 18334432 [Abstract] [Full Text] [Related]
13. Method to correct intensity inhomogeneity in MR images for atherosclerosis characterization. Salvado O, Hillenbrand C, Zhang S, Wilson DL. IEEE Trans Med Imaging; 2006 May; 25(5):539-52. PubMed ID: 16689259 [Abstract] [Full Text] [Related]
14. Phase unwrapping of MR images using Phi UN--a fast and robust region growing algorithm. Witoszynskyj S, Rauscher A, Reichenbach JR, Barth M. Med Image Anal; 2009 Apr; 13(2):257-68. PubMed ID: 19070532 [Abstract] [Full Text] [Related]
15. Multicontext wavelet-based thresholding segmentation of brain tissues in magnetic resonance images. Zhou Z, Ruan Z. Magn Reson Imaging; 2007 Apr; 25(3):381-5. PubMed ID: 17371728 [Abstract] [Full Text] [Related]
16. Low dimensional adaptive texture feature vectors from class distance and class difference matrices. Nielsen B, Albregtsen F, Danielsen HE. IEEE Trans Med Imaging; 2004 Jan; 23(1):73-84. PubMed ID: 14719689 [Abstract] [Full Text] [Related]
18. Fusion of PET and CT images using wavelet transform. Shalchian B, Rajabi H, Soltanian-zadeh H. Hell J Nucl Med; 2009 Jan; 12(3):238-43. PubMed ID: 19936335 [Abstract] [Full Text] [Related]
19. 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 [Abstract] [Full Text] [Related]
20. Markov random field model-based edge-directed image interpolation. Li M, Nguyen TQ. IEEE Trans Image Process; 2008 Jul; 17(7):1121-8. PubMed ID: 18586620 [Abstract] [Full Text] [Related] Page: [Next] [New Search]