Deep Learning for Whole Slide Image Analysis: An Overview N Dimitriou, O Arandjelovic, PD Caie | 274 | 2019 |
Precision medicine in digital pathology via image analysis and machine learning PD Caie, N Dimitriou, O Arandjelovic Artificial Intelligence and Deep Learning in Pathology E-Book, 149, 2020 | 58 | 2020 |
A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis N Dimitriou, O Arandjelović, DJ Harrison, PD Caie NPJ digital medicine 1 (1), 52, 2018 | 51 | 2018 |
Colorectal cancer outcome prediction from H&E whole slide images using machine learning and automatically inferred phenotype profiles X Yue, N Dimitriou, O Arandjelovic arXiv preprint arXiv:1902.03582, 2019 | 49 | 2019 |
Assessment of immunological features in muscle-invasive bladder cancer prognosis using ensemble learning CG Gavriel, N Dimitriou, N Brieu, IP Nearchou, O Arandjelović, G Schmidt, ... Cancers 13 (7), 1624, 2021 | 28* | 2021 |
Sequential normalization: embracing smaller sample sizes for normalization N Dimitriou, O Arandjelović Information 13 (7), 337, 2022 | 13* | 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 |
How good is the science that informs government policy? A lesson from the UK’s response to 2020 CoV-2 outbreak J Cooper, N Dimitriou, O Arandjelovíc Journal of Bioethical Inquiry 18 (4), 561-568, 2021 | 10 | 2021 |
Magnifying networks for histopathological images with billions of pixels N Dimitriou, O Arandjelović, DJ Harrison Diagnostics 14 (5), 524, 2024 | 5* | 2024 |
Computational analysis of tissue images in cancer diagnosis and prognosis: machine learning-based methods for the next generation of computational pathology N Dimitriou The University of St Andrews, 2023 | 1 | 2023 |