Selected publications
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Open access
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, 1186516.Research output: Contribution to journal › Article › peer-review
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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., 8 Oct 2023.Research output: Contribution to conference › Paper › peer-review
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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, 102963.Research output: Contribution to journal › Article › peer-review
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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.Research output: Contribution to journal › Article › peer-review
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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
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Open access
Paying per-label attention for multi-label extraction from radiology reports
Schrempf, P., Watson, H., Mikhael, S., Pajak, M., Falis, M., Lisowska, A., Muir, K. W., Harris-Birtill, D. & O'Neil, A. Q., 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings. Cardoso, J., Van Nguyen, H., Heller, N., Henriques Abreu, P., Isgum, I., Silva, W., Cruz, R., Pereira Amorim, J., Patel, V., Roysam, B., Zhou, K., Jiang, S., Le, N., Luu, K., Sznitman, R., Cheplygina, V., Mateus, D., Trucco, E. & Abbasi, S. (eds.). Cham: Springer, p. 277-289 13 p. (Lecture Notes in Computer Science (including subseries Image Processing, Computer Vision, Pattern Recognition, and Graphics); vol. 12446 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Open access
Language transfer for early warning of epidemics from social media
Appelgren, M., Schrempf, P., Falis, M., Ikeda, S. & O'Neil, A. Q., 13 Dec 2019. 6 p.Research output: Contribution to conference › Paper › peer-review
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Open access
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text
Falis, M., Pajak, M., Lisowska, A., Schrempf, P., Deckers, L., Mikhael, S., Tsaftaris, S. & O'Neil, A., Nov 2019.Research output: Contribution to conference › Paper › peer-review
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Open access
RadarCat : Radar Categorization for input & interaction
Yeo, H. S., Flamich, G., Schrempf, P. M., Harris-Birtill, D. C. C. & Quigley, A. J., 16 Oct 2016, Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST '16). ACM, p. 833-841 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution