Dr David Harris-Birtill

Senior Lecturer

Researcher profile

Phone

+44 (0)1334 46 3246

Email

dcchb@st-andrews.ac.uk

 

PhD supervision

• Mirza Hossain
• David Morrison

Selected publications

• Open access

  SurGen: 1020 H&E-stained whole slide images with survival and genetic markers

  Myles, C., Um, I., Marshall, C., Harris-Birtill, D. & Harrison, D., 2025, In: GigaScience. 14, p. 1-16 16 p., giaf086.

  Research output: Contribution to journal › Article › peer-review

• Open access

  The colour of time: detecting glioma IDH mutation status in MRI through pseudo-coloured transfer learning

  MacKinnon, H., Paracchini, S., Harris-Birtill, D., Hipwell, J. & Goatman, K., 5 Aug 2025, Medical image understanding and analysis (MIUA'2025), Leeds, UK. Ali, S., Hogg, D. & Peckham, M. (eds.). Frontiers Media S. A., p. 211-217 7 p. 30

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Open access

  Automated reporting of cervical biopsies using artificial intelligence

  Mohammadi, M., Fell, C., Morrison, D., Syed, S., Konanahalli, P., Bell, S., Bryson, G., Arandjelović, O., Harrison, D. J. & Harris-Birtill, D., 22 Apr 2024, In: PLOS Digital Health. 3, 4, e0000381.

  Research output: Contribution to journal › Article › peer-review

• Open access

  Leveraging foundation models for enhanced detection of colorectal cancer biomarkers in small datasets

  Myles, C., Um, I. H., Harrison, D. J. & Harris-Birtill, D. C. C., 24 Jul 2024, Medical image understanding and analysis: 28th annual conference, MIUA 2024, Manchester, UK, July 24–26, 2024, proceedings, part I. Yap, M. H., Kendrick, C., Behera, A., Cootes, T. & Zwiggelaar, R. (eds.). Cham: Springer, p. 329-343 (Lecture notes in computer science; vol. 14859).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Open access

  Remote photoplethysmography for heart rate and blood oxygenation measurement: a review

  Pirzada, P., Wilde, A. & Harris-Birtill, D. C. C., 7 Jun 2024, In: IEEE Sensors Journal. 24, 15, 18 p., 10552193.

  Research output: Contribution to journal › Article › peer-review

• Using machine learning to find brain correlates of genetic risk for mental health conditions

  Fell, C., Sindermann, L., Forstner, A., Lynch, A., Harris-Birtill, D. & Paracchini, S., 4 Jan 2024, In: European Journal of Human Genetics. 32, Supplement 1, p. 652

  Research output: Contribution to journal › Abstract › peer-review

• Open access

  A divide and conquer approach to maximise deep learning mammography classification accuracies

  Jaamour, A., Myles, C., Patel, A., Chen, S.-J., McMillan, L. & Harris-Birtill, D., 26 May 2023, In: PLoS ONE. 18, 5, 24 p., e0280841.

  Research output: Contribution to journal › Article › peer-review

• Open access

  An overview of artificial intelligence applications for next-generation gynaecological pathology

  Bell, S., Blackwood, J. D., Fell, C., Mohammadi, M., Morrison, D., Harris-Birtill, D. & Bryson, G., 1 Oct 2023, In: Diagnostic Histopathology. 29, 10, p. 442-449 8 p.

  Research output: Contribution to journal › Article › peer-review

• Open access

  Classification of hyper-scale multimodal imaging datasets

  Macfadyen, C., Duraiswamy, A. & Harris-Birtill, D., 13 Dec 2023, (E-pub ahead of print) In: PLOS Digital Health. 2, 12, 15 p., e0000191.

  Research output: Contribution to journal › Article › peer-review

• Open access

  Detection of malignancy in whole slide images of endometrial cancer biopsies using artificial intelligence

  Fell, C., Mohammadi, M., Morrison, D., Arandjelović, O., Syed, S., Konanahalli, P., Bell, S., Bryson, G., Harrison, D. J. & Harris-Birtill, D., 8 Mar 2023, In: PLoS ONE. 18, 3, 28 p., e0282577.

  Research output: Contribution to journal › Article › peer-review

 

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