Projects per year
Mark started his career as an electronics apprentice with the Royal Radar Establishment, Malvern (http://college-of-electronics.org/), before reading Electrical and Electronic Engineering at Aston University. After graduating he joined Ferranti Computer Systems, Underwater Systems Group, Cheadle Heath, Manchester (http://en.wikipedia.org/wiki/Thales_Underwater_Systems#Cheadle_Heath). He returned to academia to study Microprocessor Engineering and Digital Electronics at UMIST and remained as a research assistant within the Department of Computation to gain a PhD in Applied Machine Learning. As a lecturer, Mark established a Machine Vision Research Group at Coventry Polytechnic before moving to UEA in 1998. His research interests now focus on medical image understanding and analysis and he has co-authored nearly 100 publications on applications of computer vision and image analysis in engineering, biosciences and medicine.
Mark is keen to hear from prospective postgraduate students with interests in computer vision.
- Chair: IET Anglian Coastal Network (2008-09) www.theiet.org/anglian
- External Examiner: BSc International Programmes, Faculty of Engineering and Computing, Coventry University (2007-09)
- IET Anglian Coastal Network Schools Liaison Officer (2010-2015)
- Norwich Engineering Society, Membership Secretary, (2013- )
Key Research Interests and Expertise
Mark's research interests are focused in biomedical applications of computer vision.
Zhang, L.; Fisher, M. & Wang, W.
Retinal vessel segmentation using multi-scale textons derived from keypoints
Computerized Medical Imaging and Graphics , 2015, 45, 47 - 56
French, G.; Fisher, M.; Mackiewicz, M. & Needle, C.
Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video. In T. Amaral S. Matthews, T. P. S. M. & Fisher, R. (Eds.)Proceedings of the Machine Vision of Animals and their Behaviour (MVAB), BMVA Press, 2015, 7.1-7.10 (Note: Best Paper Award).
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Areas of Expertise
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Smart fisheries technologies for an efficient, compliant and environmentally friendly fishing sector
1/01/18 → 31/12/22
29/04/13 → 28/10/13
1/05/04 → 31/10/09
Zhang, L., Fisher, M. & Wang, W., Oct 2015, In: Computerized Medical Imaging and Graphics. 45, p. 47-56 10 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile46 Citations (Scopus)11 Downloads (Pure)
Deep neural networks for analysis of fisheries surveillance video and automated monitoring of fish discardsFrench, G., Mackiewicz, M., Fisher, M., Holah, H., Kilburn, R., Campbell, N. & Needle, C., Jul 2020, In: ICES Journal of Marine Science. 77, 4, p. 1340–1353 14 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile10 Citations (Scopus)10 Downloads (Pure)
Fisher, M. & Hunter, E., 28 Jun 2018, In: Marine Ecology Progress Series. 598, p. 213-231 19 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile7 Citations (Scopus)12 Downloads (Pure)
French, G., Mackiewicz, M., Fisher, M., Challis, M., Knight, P., Robinson, B. & Bloomfield, A., Aug 2018, Proceedings of the 14th IEEE International Conference on Signal Processing. IEEE Conference Publications
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution9 Citations (Scopus)
French, G., Mackiewicz, M. & Fisher, M., 19 Feb 2018. 15 p.
Research output: Contribution to conference › Paper › peer-reviewOpen AccessFile31 Downloads (Pure)