Items where Author is "Ye, X."
Article
Lasfer, M. 
ORCID: 0000-0003-2338-672X & Ye, X. (2023).
Corporate insiders’ exploitation of investors’ anchoring bias at the 52-week high and low.
The Financial Review, 59(2),
pp. 391-432.
doi: 10.1111/fire.12371
Yu, S., Dong, H., Yang, G. , Slabaugh, G. G., Dragotti, P. L., Ye, X., Liu, F., Arridge, S., Keegan, J., Firmin, D. & Guo, Y. (2017). Deep De-Aliasing for Fast Compressive Sensing MRI. IEEE Transactions on Medical Imaging,
Slabaugh, G. G., Ye, X. & Yang, X. (2014). Multilabel region classification and semantic linking for colon segmentation in CT colonography. IEEE Transactions on Biomedical Engineering, 62(3), pp. 948-959. doi: 10.1109/tbme.2014.2374355
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
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, 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
Slabaugh, G. G. & Ye, X. (2011). Concavity analysis for reduction of ileocecal valve false positives in CTC. In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. (pp. 173-176). IEEE. doi: 10.1109/ISBI.2011.5872381
Conference or Workshop Item
Yang, G., Zhuang, X., Khan, H. , Haldar, S., Nyktari, E., Ye, X., Slabaugh, G. G., Wong, T., Mohiaddin, R., Keegan, J. & Firman, D. (2017). Segmenting Atrial Fibrosis from late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. Paper presented at the Medical Image Understanding and Analysis (MIUA) 2017, 11 Jul 2017, Edinburgh, UK.
Yang, G., Ye, X., Slabaugh, G. G. , Keegan, J., Mohiaddin, R. & Firman, D. (2016). Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI. Paper presented at the 7th International Conference, ICISP 2016, 30 May - 01 Jun 2016, Quebec, Canada.
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
Ye, X. & Slabaugh, G. G. (2011). Concavity analysis for reduction of ileocecal valve false positives in CTC. In: ISBI. 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 30-03-2011 - 02-04-2011, Chicago, USA. doi: 10.1109/ISBI.2011.5872381