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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Jump to: 2012 | 2011 | 2010
Number of items: 6.

2012

Kushsairy Bin Abdul Kadir, K and Gao, Hao and Payne, Alex and Soraghan, John and Berry, C. (2012) LV wall segmentation using the variational level set method (LSM) with additional shape constraint for oedema quantification. Physics in Medicine and Biology, 57 (19). 6007. ISSN 0031-9155

2011

Kadir, K. and Gao, Hao and Payne, A. and Soraghan, J. and Berry, C.; (2011) Variational level set method with shape constraint and application to edema cardiac magnetic resonance image. In: Proceedings of the 17th International Conference on Digital Signal Processing (DSP), 2011. IEEE. ISBN 978-1-4577-0273-0

Kushsairy Bin Abdul Kadir, K and Gao, Hao and Soraghan, John and Payne, Alex; (2011) Automatic quantification and 3D visualisation of edema in cardiac MRI. In: Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11). IEEE, Boston, USA, pp. 8021-8024.

Gao, Hao and Kushsairy Bin Abdul Kadir, K and Payne, A. and Berry, C. and Soraghan, John and Lou, X; (2011) CMRI based 3D left ventricle motion analysis on patients with acute myocardial infarction. In: Proceedings from the 33rd Annual International IEEE Engineering in Medicine and Biology Society Conference 2011. IEEE, Boston, USA.

2010

Kushsairy Bin Abdul Kadir, K and Payne, A. and Soraghan, John and Berry, C.; (2010) Automatic left ventricle segmentation in T2 weighted CMR images. In: Image Processing and Communications Challenges 2. Advances in intelligent and soft computing . Springer, pp. 247-254. ISBN 9783642162954

Kushsairy Bin Abdul Kadir, K and Payne, A. and Soraghan, John and Berry, C.; (2010) Automatic quantification of oedema from T2 weighted CMR image using hybrid thresholding oedema sizing algorithm (HTOSA). In: Computing in Cardiology. UNSPECIFIED, pp. 233-236.

This list was generated on Mon Aug 10 10:34:33 2020 BST.