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Items where Author is "Beddoe, G."

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Number of items: 12.

Ye, X., Beddoe, G. & Slabaugh, G. G. (2011). A Bayesian Approach for False Positive Reduction in CTC CAD. Paper presented at the Second International Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, 20-09-2010, Beijing, China. doi: 10.1007/978-3-642-25719-3_6

Ye, X., Beddoe, G. & Slabaugh, G. G. (2011). A Bayesian Approach for False Positive Reduction in CTC CAD. Lecture Notes in Computer Science, 6668, pp. 40-46. doi: 10.1007/978-3-642-25719-3_6

Yang, X., Beddoe, G. & Slabaugh, G. G. (2011). Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model. Lecture Notes in Computer Science, 6668, pp. 53-59. doi: 10.1007/978-3-642-25719-3_8

Yang, X., Tek, B., Beddoe, G. & Slabaugh, G. G. (2010). Feature Selection for Computer-Aided Polyp Detection using MRMR. SPIE Proceedings, 7624, doi: 10.1117/12.844165

Slabaugh, G. G., Yang, X., Ye, X. , Boyes, R, & Beddoe, G. (2010). A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions. Algorithms, 3(1), pp. 21-43. doi: 10.3390/a3010021

Ye, X., Beddoe, G. & Slabaugh, G. G. (2010). Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels. International Journal of Biomedical Imaging (IJBI), 2010, p. 983963. doi: 10.1155/2010/983963

Yang, X., Beddoe, G. & Slabaugh, G. G. (2010). Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model. Paper presented at the Second International Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, 20-09-2010, Beijing, China. doi: 10.1007/978-3-642-25719-3_8

Douiri, A., Siddique, M., Ye, X. , Beddoe, G. & Slabaugh, G. G. (2009). Enhanced detection in CT colonography using adaptive diffusion filtering. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7259, p. 725923. doi: 10.1117/12.811563

Boyes, R., Slabaugh, G. G. & Beddoe, G. (2009). Fast pseudo-enhancement correction in CT colonography using linear shift-invariant filters. Paper presented at the 16th IEEE International Conference on Image Processing (ICIP), 2009., 07-11-2009 - 10-11-2009, Cairo, Eygpt. doi: 10.1109/ICIP.2009.5414016

Boyes, R., Slabaugh, G. G. & Beddoe, G. (2009). Fast pseudo-enhancement correction in CT colonography using linear shift-invariant filters. In: 16th IEEE International Conference on Image Processing (ICIP), 2009. (pp. 2509-2512). IEEE. doi: 10.1109/ICIP.2009.5414016

Ye, X., Siddique, M., Douiri, A. , Beddoe, G. & Slabaugh, G. G. (2009). Image segmentation using joint spatial-intensity-shape features: Application to CT lung nodule segmentation. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7259, 72594V. doi: 10.1117/12.811151

Ye, X., Lin, X., Dehmeshki, J. , Slabaugh, G. G. & Beddoe, G. (2009). Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images. IEEE Transactions on Biomedical Engineering, 56(7), pp. 1810-1820. doi: 10.1109/TBME.2009.2017027

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