Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Number of items: 8.

2017

Doshi, Trushali and Soraghan, John and Petropoulakis, Lykourgos and Di Caterina, Gaetano and Grose, Derek and Mackenzie, Kenneth and Wilson, Christina (2017) Automatic pharynx and larynx cancer segmentation framework (PLCSF) on contrast enhanced MR images. Biomedical Signal Processing and Control, 33. pp. 178-188. ISSN 1746-8094

Doshi, T. and Wilson, C. and Paterson, C. and Lamb, C. and James, A. and MacKenzie, K. and Soraghan, J. and Petropoulakis, L. and Di Caterina, G. and Grose, D. (2017) Validation of a magnetic resonance imaging-based auto-contouring software tool for gross tumour delineation in head and neck cancer radiotheraphy planning. Clinical Oncology, 29 (1). pp. 60-67. ISSN 0936-6555

2016

Di Caterina, Gaetano and Doshi, Trushali and Soraghan, John J. and Petropoulakis, Lykourgos; (2016) A novel decentralised system architecture for multi-camera target tracking. In: Advanced Concepts for Intelligent Vision Systems (ACIVS2016). Lecture Notes in Computer Science, 10016 . Springer Berlin Heidelberg, ITA, pp. 92-104. ISBN 978-3-319-48679-6

Doshi, T. and Di Caterina, G. and Soraghan, J. and Petropoulakis, L. and Grose, D. and MacKenzie, K. and Wilson, C. (2016) Combining interpolation and 3D level set method (I+3DLSM) for medical image segmentation. Electronics Letters, 52 (8). pp. 592-594. ISSN 0013-5194

2015

Campbell, Sean and Doshi, Trushali and Soraghan, John and Petropoulakis, Lykourgos and Di Caterina, Gaetano and Grose, Derek and Mackenzie, Kenneth; (2015) 3-dimensional throat region segmentation from MRI data based on fourier interpolation and 3-dimensional level set methods. In: 2015 37th Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC). IEEE, pp. 2419-2422. ISBN 978-1-4244-9270-1

Doshi, Trushali and Soraghan, John and Grose, Derek and MacKenzie, Kenneth and Petropoulakis, Lykourgos; Hadjiiski, Lubomir M. and Tourassi, Georgia D., eds. (2015) Automatic detection of larynx cancer from contrast-enhanced magnetic resonance images. In: Medical Imaging 2015. Proceedings of SPIE . SPIE, USA. ISBN 9781628415049

2014

Doshi, Trushali and Soraghan, John and Grose, Derek and MacKenzie, Kenneth and Petropoulakis, Lykourgos; (2014) Modified fuzzy c-means clustering for automatic tongue base tumour extraction from MRI data. In: 2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO). IEEE, PRT, 2460 - 2464. ISBN 9780992862619

2013

Doshi, Trushali and Soraghan, John and Petropoulakis, Lykourgos and Gross, Derek and MacKenzie, Kenneth; (2013) Semi-automatic segmentation of tongue tumors from magnetic resonance imaging. In: 2013 20th International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, ROM, pp. 143-146. ISBN 9781479909414

This list was generated on Fri Jul 10 15:57:28 2020 BST.