Mark Fisher

Computer Science · Physical Sciences

17h-index1.1kcitations75works0.02yr avg
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Research Topics

Medical Image Segmentation Techniques(22), Image Retrieval and Classification Techniques(12), Medical Imaging Techniques and Applications(11), Advanced Image and Video Retrieval Techniques(10), Advanced Radiotherapy Techniques(7)

Publications75 total

Dataset for Fisher et al. (2023). Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels. IET Image Processing, 17(2), pp.349-361.
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Dataset for Fisher et al. (2023). Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels. IET Image Processing, 17(2), pp.349-361.
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels
IET Image Processing·2022· 6 citedOpen Access
Deep neural networks for analysis of fisheries surveillance video and automated monitoring of fish discards
ICES Journal of Marine Science·2019· 51 citedOpen Access
JellyMonitor: automated detection of jellyfish in sonar images using neural networks
2018· 32 cited
Digital imaging techniques in otolith data capture, analysis and interpretation
Marine Ecology Progress Series·2018· 24 citedOpen Access
Self-ensembling for visual domain adaptation
UEA Digital Repository (University of East Anglia)·2017· 63 citedOpen Access
Self-ensembling for domain adaptation.
2017· 33 cited
Otolith shape and size: The importance of age when determining indices for fish-stock separation
Fisheries Research·2017· 53 cited
A fast and automatic approach for removing artefacts due to immobilisation masks in X-ray CT
2017· 1 cited
Automatic Removal of Mechanical Fixations from CT Imagery with Particle Swarm Optimisation
Lecture notes in computer science·2017· 3 cited
Evaluation of Particle Swarm Optimisation for Medical Image Segmentation
Advances in intelligent systems and computing·2016· 12 cited
A deep learning system for analysis of fisheries surveillance video and automated monitoring of catch quota
UEA Digital Repository (University of East Anglia)·2016
A Discrimination Analysis of Sloan and Johnson Photometric Systems for Non-Resolved Object Characterization
Advanced Maui Optical and Space Surveillance Technologies Conference·2016
Three‐dimensional rendering of otolith growth using phase contrast synchrotron tomography
Journal of Fish Biology·2016· 12 cited
ARM Cortex M4 Cookbook over 50 hands-on recipes that will help you develop amazing real-time applications using GPIO, RS232, ADC, DAC, timers, audio codecs, graphics LCD, and a touch screen
2016
Retinal vessel segmentation using multi-scale textons derived from keypoints
Computerized Medical Imaging and Graphics·2015· 70 cited
Accelerated Generation of Digitally Reconstructed Radiographs using Parallel Processing
2015· 7 cited
Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video
2015· 77 citedOpen Access
Comparative performance of texton based vascular tree segmentation in retinal images
2014· 4 cited
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Frequent Co-authors

Michał Mackiewicz(10), Stephen D. Laycock(8), Osama Dorgham(6), Geoffrey French(4), Wenjia Wang(4), Yu Su(3), Ewan Hunter(3), Mohammad Hashem Ryalat(3), Jenny Bangham(3), Richard Harvey(3), Xiaoqiang Huang(3), Dan Smith(3), Yanong Zhu(3), Jeff Berens(2), Coby L. Needle(2), Andrzej Wołczowski(2), G. D. Bell(2), David J. Burn(2), Robert X. Gao(2), Lei Zhang(2)