Items where Author is "Beddoe, G."
Article
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, article number 76241B. 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(1), pp. 1-14. doi: 10.1155/2010/983963
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, article number 725923. doi: 10.1117/12.811563
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, article number 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
Book Section
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
Conference or Workshop Item
Ye, X., Beddoe, G. & Slabaugh, G. G. (2011). A Bayesian Approach for False Positive Reduction in CTC CAD. In: Yoshida, H & Cai, W (Eds.), Virtual Colonoscopy and Abdominal Imaging. 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
Yang, X., Beddoe, G. & Slabaugh, G. G. (2010). Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model. In: Yoshida, H & Cai, W (Eds.), Virtual Colonoscopy and Abdominal Imaging. 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
Boyes, R., Slabaugh, G. G. & Beddoe, G. (2009). Fast pseudo-enhancement correction in CT colonography using linear shift-invariant filters. In: ICIP. 16th IEEE International Conference on Image Processing (ICIP), 2009., 07-11-2009 - 10-11-2009, Cairo, Eygpt. doi: 10.1109/ICIP.2009.5414016