Dr David Harris-Birtill

Senior Lecturer

Researcher profile

Phone

+44 (0)1334 46 3246

Email

dcchb@st-andrews.ac.uk

 

PhD supervision

• Pireh Pirzada
• Ajaykumar Duraiswamy
• Craig Myles
• David Morrison
• Johannes Zelger

Selected publications

• Open access

  Anonymising pathology data using generative adversarial networks

  Morrison, D. & Harris-Birtill, D. C. C., 4 Apr 2022, Medical Imaging 2022: Digital and Computational Pathology. Tomaszewski, J. E., Ward, A. D. & R. M. (eds.). SPIE, 6 p. 1203917. (Proceedings of SPIE; vol. 12039).

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

• Open access

  Automated Remote Pulse Oximetry System (ARPOS)

  Pirzada, P., Morrison, D., Doherty, G. H., Dhasmana, D. J. & Harris-Birtill, D. C. C., 30 Jun 2022, In: Sensors. 21, 13, 45 p., 4974.

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

• Open access

  Automated Remote Pulse Oximetry System (ARPOS) Methodology and Protocol

  Pirzada, P., Morrison, D., Doherty, G. H., Dhasmana, D. J. & Harris-Birtill, D. C. C., 27 May 2022

  Research output: Other contribution

• Open access

  Ethics and acceptance of smart homes for older adults

  Pirzada, P., Wilde, A., Doherty, G. H. & Harris-Birtill, D., 2022, In: Informatics for Health and Social Care. 47, 1, p. 10-37 28 p.

  Research output: Contribution to journal › Review article › peer-review

• Open access

  Reproducibility of deep learning in digital pathology whole slide image analysis

  Fell, C., Mohammadi, M., Morrison, D., Arandjelovic, O., Caie, P. & Harris-Birtill, D., 2 Dec 2022, In: PLOS Digital Health. 1, 12, 21 p., e0000145.

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

• Open access

  Weakly supervised learning and interpretability for endometrial whole slide image diagnosis

  Mohammadi, M., Cooper, J., Arandelovic, O., Fell, C. M., Morrison, D., Syed, S., Konanahalli, P., Bell, S., Bryson, G., Harrison, D. J. & Harris-Birtill, D. C. C., 25 Oct 2022, (E-pub ahead of print) In: Experimental Biology and Medicine. OnlineFirst, 13 p.

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

• Open access

  Generative deep learning in digital pathology workflows

  Morrison, D., Harris-Birtill, D. & Caie, P. D., 1 Oct 2021, In: The American Journal of Pathology. 191, 10, p. 1717-1723 6 p.

  Research output: Contribution to journal › Review article › peer-review

• Radiomics-led monitoring of non-small cell lung cancer patients during radiotherapy

  Rahmat, R., Harris-Birtill, D., Finn, D., Feng, Y., Montgomery, D., Nailon, W. H. & McLaughlin, S., 6 Jul 2021, (E-pub ahead of print) Medical image understanding and analysis: 25th annual conference, MIUA 2021. Papież, B. W., Yaqub, M., Jiao, J., Namburete, A. I. L. & Noble, J. A. (eds.). Cham: Springer, p. 532–546 15 p. (Lecture notes in computer science; vol. 12722).

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

• Open access

  Templated text synthesis for expert-guided multi-label extraction from radiology reports

  Schrempf, P., Watson, H., Park, E., Pajak, M., MacKinnon, H., Muir, K. W., Harris-Birtill, D. & O’Neil, A. Q., 24 Mar 2021, In: Machine Learning and Knowledge Extraction. 3, 2, p. 299-317 19 p.

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

• Open access

  Understanding computation time: a critical discussion of time as a computational performance metric

  Harris-Birtill, D. & Harris-Birtill, R., 23 Sep 2021, Time in variance. Misztal, A., Harris, P. A. & Parker, J. A. (eds.). Leiden: Brill, p. 220-248 (The study of time; vol. 17).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

 

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