University of Lincoln

Physical Address
School of Computer Science
University of Lincoln
Brayford Pool
Lincoln, LN6 7TS

Contact Person
Dr. Xujiong Ye

University of Lincoln is a research based university with quality teaching and excellent research. The school of computer science at University of Lincoln provides a range of expertise in Computing Technologies and Information Systems, including specialists in computer vision and image engineering, medical imaging for cancer diagnosis and treatment, robotics and autonomous systems, social computing, games computing, cultural computing and business computing. The school scored highly in the UK Research Assessment Exercise (RAE 2008) with 85% of its outputs ranked at international quality or better with 15% ranked world-leading.

The Laboratory of Vision Engineering, at School of Computer Science, has been active in the area of medical imaging, including the development of new medical imaging devices and systems, as well as the exploration of advanced computing technology to detect and understand cancerous growths in various human organs from multi- modality images. The centre has an excellent track record in both publications and external grants, including the recent reward of a major £1.6m Wellcome Grant to develop dosimetry and imaging for proton therapy (pravda).




Key Publications

– X.Ye, H.Roth, G. Slabaugh, X.Yang, M, Hung, J.McQuillan, D.Hawkes, S.Halligan,
Computer-aided Detection for CT Colonography: False Positive Reduction Using Surface based Prone-Supine Registration,
Radiological Society of North America (RSNA). Nov,2011.

– H M Zin, E J Harris, J P F Osmond, N M Allinson and P M Evans,
Towards real-time VMAT verification using a prototype, high-speed CMOS ctive pixel sensor,
Phys. Med. Biol. 58, 3359–3375, 2013.

– X.Ye, G.Beddoe, G.Slabaugh,
Automatic Graph Cut Segmentation of Lesions in CT using Mean Shift Super-Pixels,
International Journal of Biomedical Imaging, 2010.

– X Ye, X Lin, J. Dehmeshki, G Slabaugh, G Beddoe,
Shape Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images,
IEEE Transactions on Biomedical Engineering, Vol 57, No 7, pp 1810-1820, 2009