Publications
Recent publications by members of the research group. To see a full list of publications for any individual, view their research profile.
- Mohammadi, M, Fell, C, Morrison, D, Syed, S, Konanahalli, P, Bell, S, Bryson, G, Arandjelović, O, Harrison, DJ & Harris-Birtill, D 2024, 'Automated reporting of cervical biopsies using artificial intelligence', PLOS Digital Health, vol. 3, no. 4, e0000381. https://doi.org/10.1371/journal.pdig.0000381
- Myles, C, Um, IH, Harrison, DJ & Harris-Birtill, DCC 2024, Leveraging foundation models for enhanced detection of colorectal cancer biomarkers in small datasets. in MH Yap, C Kendrick, A Behera, T Cootes & R Zwiggelaar (eds), Medical image understanding and analysis: 28th annual conference, MIUA 2024, Manchester, UK, July 24–26, 2024, proceedings, part I. Lecture notes in computer science, vol. 14859, Springer, Cham, pp. 329-343, Medical Image Understanding and Analysis: 28th Annual Event, Manchester, United Kingdom, 24/07/24. https://doi.org/10.1007/978-3-031-66955-2_23
- Pirzada, P, Wilde, A & Harris-Birtill, DCC 2024, 'Remote photoplethysmography for heart rate and blood oxygenation measurement: a review', IEEE Sensors Journal, vol. 24, no. 15, 10552193. https://doi.org/10.1109/JSEN.2024.3405414
- Jaamour, A, Myles, C, Patel, A, Chen, S-J, McMillan, L & Harris-Birtill, D 2023, 'A divide and conquer approach to maximise deep learning mammography classification accuracies', PLoS ONE, vol. 18, no. 5, e0280841. https://doi.org/10.1371/journal.pone.0280841
- Bell, S, Blackwood, JD, Fell, C, Mohammadi, M, Morrison, D, Harris-Birtill, D & Bryson, G 2023, 'An overview of artificial intelligence applications for next-generation gynaecological pathology', Diagnostic Histopathology, vol. 29, no. 10, pp. 442-449. https://doi.org/10.1016/j.mpdhp.2023.07.002
- Macfadyen, C, Duraiswamy, A & Harris-Birtill, D 2023, 'Classification of hyper-scale multimodal imaging datasets', PLOS Digital Health, vol. 2, no. 12, e0000191. https://doi.org/10.1371/journal.pdig.0000191
- Fell, C, Mohammadi, M, Morrison, D, Arandjelović, O, Syed, S, Konanahalli, P, Bell, S, Bryson, G, Harrison, DJ & Harris-Birtill, D 2023, 'Detection of malignancy in whole slide images of endometrial cancer biopsies using artificial intelligence', PLoS ONE, vol. 18, no. 3, e0282577. https://doi.org/10.1371/journal.pone.0282577
- Connor, R, Dearle, A, Morrison, D & Chávez, E 2023, Similarity search with multiple-object queries. in O Pedreira & V Estivill-Castro (eds), Similarity Search and Applications: 16th International Conference, SISAP 2023, A Coruña, Spain, October 9–11, 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14289 LNCS, Springer, Cham, pp. 223-237, 16th International Conference on Similarity Search and Applications, SISAP 2023, Coruna, Spain, 9/10/23. https://doi.org/10.1007/978-3-031-46994-7_19
- Morrison, D & Harris-Birtill, DCC 2022, Anonymising pathology data using generative adversarial networks. in JE Tomaszewski, AD Ward & RM (eds), Medical imaging 2022: digital and computational pathology., 1203917, Proceedings of SPIE, vol. 12039, SPIE, Bellingham, WA, SPIE Medical Imaging 2022, San Diego, California, United States, 20/02/22. https://doi.org/10.1117/12.2611803
- Pirzada, P, Morrison, D, Doherty, GH, Dhasmana, DJ & Harris-Birtill, DCC 2022, 'Automated Remote Pulse Oximetry System (ARPOS)', Sensors, vol. 21, no. 13, 4974. https://doi.org/10.3390/s22134974
- Pirzada, P, Wilde, A, Doherty, GH & Harris-Birtill, D 2022, 'Ethics and acceptance of smart homes for older adults', Informatics for Health and Social Care, vol. 47, no. 1, pp. 10-37. https://doi.org/10.1080/17538157.2021.1923500
- Fell, C, Mohammadi, M, Morrison, D, Arandjelovic, O, Caie, P & Harris-Birtill, D 2022, 'Reproducibility of deep learning in digital pathology whole slide image analysis', PLOS Digital Health, vol. 1, no. 12, e0000145. https://doi.org/10.1371/journal.pdig.0000145
- Mohammadi, M, Cooper, J, Arandelovic, O, Fell, CM, Morrison, D, Syed, S, Konanahalli, P, Bell, S, Bryson, G, Harrison, DJ & Harris-Birtill, DCC 2022, 'Weakly supervised learning and interpretability for endometrial whole slide image diagnosis', Experimental Biology and Medicine, vol. 247, no. 22, pp. 2025 - 2037. https://doi.org/10.1177/15353702221126560
- Morrison, D, Harris-Birtill, D & Caie, PD 2021, 'Generative deep learning in digital pathology workflows', The American Journal of Pathology, vol. 191, no. 10, pp. 1717-1723. https://doi.org/10.1016/j.ajpath.2021.02.024