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Marios Zachariou
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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
262022
Visual reconstruction of ancient coins using cycle-consistent generative adversarial networks
M Zachariou, N Dimitriou, O Arandjelović
Sci 2 (3), 52, 2020
112020
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
72020
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
62022
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
22023
Automated methods for tuberculosis detection/diagnosis: a literature review
M Zachariou, O Arandjelović, DJ Sloan
BioMedInformatics 3 (3), 724-751, 2023
22023
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
12023
Estimating phenotypic characteristics of tuberculosis bacteria
M Zachariou, O Arandjelović, E Dombay, W Sabiiti, B Mtafya, ...
Computers in Biology and Medicine, 2023
12023
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
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Articles 1–10