Dr Ognjen Arandelovic
Reader - School of Computer Science
Email: oa7@st-andrews.ac.uk
Office: JC0.09
Phone: +44 (0)1334 462824
Recent Publications
- Nearchou, IP, Soutar, DA, Lillard, K, Ueno, H, Arandelovic, O, Harrison, DJ & Caie, PD 2020, 'Abstract LB-368: Applications of automated image analysis, machine learning and spatial statistics for the improvement of stage II colorectal cancer prognosis'. https://doi.org/10.1158/1538-7445.AM2020-LB-368
- Thirlwell, A & Arandjelović, O 2020, 'Big data driven detection of trees in suburban scenes using visual spectrum eye level photography', Sensors, vol. 20, no. 11, 3051. https://doi.org/10.3390/s20113051
- Zhang, L, Arandjelovic, O, Dewar, S, Astell, A, Doherty, G & Ellis, M 2020, Quantification of advanced dementia patients' engagement in therapeutic sessions: an automatic video based approach using computer vision and machine learning. in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). vol. 2020, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, IEEE, pp. 5785-5788, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society (EMBC 2020) , Montreal, Canada, 20/07/20. https://doi.org/10.1109/EMBC44109.2020.9176632
- Ratcliffe, C & Arandelovic, O 2020, 'Tracking of deformable objects using dynamically and robustly updating pictorial structures', Journal of Imaging, vol. 6, no. 7, 61. https://doi.org/10.3390/jimaging6070061
- Cooper, J & Arandjelovic, O 2020, Understanding ancient coin images. in L Oneto, N Navarin, A Sperduti & D Anguita (eds), Recent Advances in Big Data and Deep Learning. Proceedings of the International Neural Networks Society, vol. 1, Springer, Cham, pp. 330-340, INNS Big Data and Deep Learning , Genova, Italy, 16/04/19. https://doi.org/10.1007/978-3-030-16841-4_34