Tuberculosis bacteria detection and counting in fluorescence microscopy images using a multi-stage deep learning pipeline M Zachariou, O Arandjelović, W Sabiiti, B Mtafya, D Sloan Information 13 (2), 96, 2022 | 26 | 2022 |
Visual reconstruction of ancient coins using cycle-consistent generative adversarial networks M Zachariou, N Dimitriou, O Arandjelović Sci 2 (3), 52, 2020 | 11 | 2020 |
Images of Roman imperial denarii: A curated data set for the evaluation of computer vision algorithms applied to ancient numismatics, and an overview of challenges in the field O Arandjelović, M Zachariou Sci 2 (4), 91, 2020 | 7 | 2020 |
Extracting and classifying salient fields of view from microscopy slides of tuberculosis bacteria M Zachariou, O Arandjelović, E Dombay, W Sabiiti, B Mtafya, D Sloan International Conference on Pattern Recognition and Artificial Intelligence …, 2022 | 6 | 2022 |
Localization and phenotyping of tuberculosis bacteria using a combination of deep learning and SVMs M Zachariou, O Arandjelović, E Dombay, W Sabiiti, B Mtafya, ... Computers in Biology and Medicine 167, 107573, 2023 | 3 | 2023 |
Automated methods for tuberculosis detection/diagnosis: a literature review M Zachariou, O Arandjelović, DJ Sloan BioMedInformatics 3 (3), 724-751, 2023 | 2 | 2023 |
Estimating Phenotypic Characteristics of Tuberculosis Bacteria D Sloan, E Dombay, W Sabiiti, B Mtafya, O Arandelovic, M Zachariou Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 1110-1113, 2023 | 1 | 2023 |
Estimating phenotypic characteristics of tuberculosis bacteria M Zachariou, O Arandjelović, E Dombay, W Sabiiti, B Mtafya, ... Computers in Biology and Medicine, 2023 | 1 | 2023 |
Towards fully automated analysis of sputum smear microscopy images M Zachariou The University of St Andrews, 2024 | | 2024 |
Automated Methods for Tuberculosis Detection/Diagnosis: A Literature Review. BioMedInformatics 2023, 1, 1–28 M Zachariou, O Arandjelovic, DJ Sloan Digital Image Processing 5203, 71-81, 2003 | | 2003 |