Projects per year
Personal profile
Biography
Website: http://www2.cmp.uea.ac.uk/~mhf/
Follow this link for details of current PhD opportunities in Computing Sciences. But feel free to email me to discuss projects outside these areas and alternative sources of funding.
Career
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.
PhD Projects
Mark is keen to hear from prospective postgraduate students with interests in computer vision.
External Activities
- 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
Mark's research interests are focused in biomedical applications of computer vision.
Selected Publications:
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).
Key Responsibilities
Quality Assurance Adviser
Industrial and Careers Liaison
Areas of Expertise
Network
Projects
- 5 Finished
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Smart fisheries technologies for an efficient, compliant and environmentally friendly fishing sector
Mackiewicz, M., Fisher, M. & French, G.
1/01/18 → 31/12/22
Project: Research
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Automatic construction of radiotherapy treatment shells: Pre-clinical feasibility assessment
Laycock, S., Bell, D., Fisher, M., Hulse, M., Isherwood, S., Scrase, C. & Tam, M.
29/04/13 → 28/10/13
Project: Research
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MAESTRO: Methods and advanced equipment for simulation and treatment in radio-oncology
1/05/04 → 31/10/09
Project: Research
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Retinal vessel segmentation using multi-scale textons derived from keypoints
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-review
Open AccessFile51 Citations (Scopus)11 Downloads (Pure) -
Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels
Fisher, M., French, G., Gorpincenko, A., Holah, H., Clayton, L., Skirrow, R. & Mackiewicz, M., 27 Sep 2022, (E-pub ahead of print) In: IET Image Processing.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Deep neural networks for analysis of fisheries surveillance video and automated monitoring of fish discards
French, 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-review
Open AccessFile20 Citations (Scopus)11 Downloads (Pure) -
Digital imaging techniques in otolith data capture, analysis and interpretation
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-review
Open AccessFile10 Citations (Scopus)13 Downloads (Pure) -
JellyMonitor: automated detection of jellyfish in sonar images using neural networks
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. The Institute of Electrical and Electronics Engineers (IEEE)Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile12 Citations (Scopus)11 Downloads (Pure)