Items where authors include "Treanor, D."
Article
Broad, A., Wright, A., McGenity, C. et al. (2 more authors) (2024) Object-based Feedback Attention in Convolutional Neural Networks Improves Tumour Detection in Digital Pathology. Scientific Reports, 14. 30400. ISSN 2045-2322
McGenity, C., Clarke, E.L., Jennings, C. et al. (5 more authors) (2024) Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy. npj Digital Medicine, 7. 114. ISSN 2398-6352
Godson, L. orcid.org/0000-0002-3419-7628, Alemi, N. orcid.org/0000-0001-6929-7461, Nsengimana, J. orcid.org/0000-0002-3603-4208 et al. (7 more authors) (2024) Immune subtyping of melanoma whole slide images using multiple instance learning. Medical Image Analysis, 93. 103097. ISSN 1361-8415
Dunn, C., Brettle, D., Cockroft, M. et al. (3 more authors) (2024) Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system. Diagnostic Pathology, 19 (1). 42. ISSN 1746-1596
King, H., Wright, J. orcid.org/0000-0002-5239-0173, Treanor, D. orcid.org/0000-0002-4579-484X et al. (2 more authors) (2023) What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation. Journal of Medical Internet Research, 25. e38039. ISSN 1438-8871
Vasey, B., Nagendran, M., Campbell, B. et al. (152 more authors) (2022) Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. British Medical Journal (The BMJ), 377. e070904. ISSN 1759-2151
Elsharif, M., Roche, M., Wilson, D. et al. (11 more authors) (2021) Hepatectomy risk assessment with functional magnetic resonance imaging (HEPARIM). BMC Cancer, 21 (1). 1139.
Proceedings Paper
Godson, L., Alemi, N., Nsengimana, J. et al. (6 more authors) (2024) Multi-level Graph Representations of Melanoma Whole Slide Images for Identifying Immune Subgroups. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). International Conference on Medical Image Computing and Computer-Assisted Intervention, 08/10/2023 - 12/10/2023, Vancouver, Canada. Springer Nature , pp. 85-96. ISBN 978-3-031-55087-4
Godson, L., Alemi, N., Nsengimana, J. et al. (6 more authors) (2022) Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups. In: Proceedings of Machine Learning Research. International Conference on Medical Imaging with Deep Learning, 06-08 Jul 2022, Zurich, Switzerland. , pp. 423-440.
Preprint
McGenity, C., Clarke, E.L., Jennings, C. et al. (5 more authors) (2023) Artificial intelligence in digital pathology: a diagnostic test accuracy systematic review and meta-analysis. [Preprint]