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3D approximation of scapula bone shape from 2D X-ray images using landmark-constrained statistical shape model fitting
Published 2017“…The Euclidean distances confirm that a posterior model moves closer to the CT image, hence it reduces the search space for a more exact patient-specific 3D reconstruction by other fitting algorithms.…”
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Evaluating infrared thermographic imaging technology in the detection and quantification of tick burdens in cattle
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EFFECTS OF THE USE OF ELECTRONIC CALCULATOR ON OUTCOMES OF MATHEMATICS INSTRUCTION
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Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images
Published 2021“…Both sampling and parametric based registration algorithms are proposed, which allow the establishment of dense correspondence across volumetric shapes (such as tetrahedral meshes) while preserving the spatial relationship between them. …”
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Towards a framework for multi class statistical modelling of shape, intensity and kinematics in medical images
Published 2022“…Both sampling and parametric based registration algorithms are proposed, which allow the establishment of dense correspondence across volumetric shapes (such as tetrahedral meshes) while preserving the spatial relationship between them. …”
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Adaptive digital image correlation using neural networks
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Process monitoring and fault diagnosis using random forests
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Autonomous racing on unseen tracks using reinforcement learning
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A Comparison Between Machine Learning Techniques to Find Leaks in Pipe Networks
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Land rights in sub-Saharan Africa : measuring impact with satellite images, machine learning and citizen science
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Time domain classification of transient RFI
Published 2019“…Several na¨ıve classification algorithms are tested, using kernel PCA for feature selection A more sophisticated dictionary-based approach is developed next. …”
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Predictive maintenance using clustering methods for the use-case of bolted connections in the automotive industry
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Tree species identification and leaf segmentation from natural images using deep semi-supervised learning
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Process monitoring with restricted Boltzmann machines
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Design of a wireless in-ear EEG device to improve sleep via EEG neurofeedback
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Designing a hyperinstrument with gesture interface for musical performance
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Refining the role of the chest radiograph in paediatric tuberculosis clinical care and research
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