Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Computer Vision
Showing results 1 to 7 of 7
| Issue Date | Title | Author(s) |
|---|---|---|
| 2024 | Disparity estimation and enhancement from holoscopic elemental images | Almatrouk, Bodor |
| 2024 | Enhancing crime prediction with machine vision: Convolutional neural network approach | Akinmuyisitan, Taiwo Marcus |
| 2025 | Machine learning methods for AI-enhanced DCE-MRI breast cancer diagnosis | Berchiolli, Marco |
| 2023 | An optical-based defect detection and visualisation system for fused filament fabrication process | Wang, Zeming |
| 2020 | Retinal layer segmentation from optical coherence tomography images | Dodo, Bashir Isa |
| 2023 | Towards an automatic camera trap pipeline | Evans, Benjamin C. |
| 2022 | When the machine does not know measuring uncertainty in deep learning models of medical images | Ghoshal, Biraja Prasad |