Personal profile
Education/Academic qualification
Doctor of Engineering, NLP-Supervised Stroke Detection in Medical Images, University of St Andrews
Aug 2018 → Aug 2022
Award Date: 23 Jan 2023
Bachelor of Science, University of St Andrews
Award Date: 27 Jun 2018
External positions
Scientist, Canon Medical Research Europe Ltd
Mar 2023 → …
Research Engineer, Canon Medical Research Europe Ltd
Sept 2022 → Mar 2023
Research Engineer, Canon Medical Research Europe Ltd
27 Aug 2018 → 26 Aug 2022
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
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Clinically focussed evaluation of anomaly detection and localisation methods using inpatient CT head data
Kascenas, A., Wang, C., Schrempf, P., Grech, R., Goh, H. L., Hall, M. & O'Neil, A. Q., 27 Apr 2024, Data augmentation, labelling, and imperfections: third MICCAI workshop, DALI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, proceedings. Xue, Y., Chen, C., Chen, C., Zuo, L. & Liu, Y. (eds.). Cham: Springer Nature, p. 63-72 10 p. (Lecture notes in computer science; vol. 14379).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters
Cutforth, M., Watson, H., Brown, C., Wang, C., Thomson, S., Fell, D., Dilys, V., Scrimgeour, M., Schrempf, P., Lesh, J., Muir, K., Weir, A. & O'Neil, A. Q., 14 Jun 2023, In: Frontiers in Digital Health. 5, 12 p., 1186516.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
The role of noise in denoising models for anomaly detection in medical images
Kascenas, A., Sanchez, P., Schrempf, P., Wang, C., Clackett, W., Mikhael, S. S., Voisey, J. P., Goatman, K., Weir, A., Pugeault, N., Tsaftaris, S. A. & O'Neil, A. Q., 1 Dec 2023, In: Medical Image Analysis. 90, 11 p., 102963.Research output: Contribution to journal › Article › peer-review
Open Access -
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports
Casey, A., Davidson, E., Grover, C., Tobin, R., Grivas, A., Zhang, H., Schrempf, P., O'Neil, A. Q., Lee, L., Walsh, M., Pellie, F., Ferguson, K., Cvoro, V., Wu, H., Whalley, H., Mair, G., Whiteley, W. & Alex, B., 28 Sept 2023, In: Frontiers in Digital Health. 5, 14 p., 1184919.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
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 AccessFile
Prizes
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Best Paper Award (LABELS @ MICCAI 2020)
Schrempf, P. M. (Recipient), Watson, H. (Recipient), Mikhael, S. (Recipient), Pajak, M. (Recipient), Falis, M. (Recipient), Lisowska, A. (Recipient), Muir, K. W. (Recipient), Harris-Birtill, D. C. C. (Recipient) & O'Neil, A. Q. (Recipient), 8 Oct 2020
Prize: Prize (including medals and awards)
Thesis
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NLP-supervised stroke detection in medical images
Schrempf, P. (Author), Harris-Birtill, D. C. C. (Supervisor) & O'Neil, A. Q. (Supervisor), 14 Jun 2023Student thesis: Doctoral Thesis (DEng)