Dr Patrick Schrempf

Dr Patrick Schrempf

Honorary Research Fellow

Researcher profile

Email
ps90@st-andrews.ac.uk

 

Selected publications

  • 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 proceedingConference contribution

  • 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, 12 p., 1186516.

    Research output: Contribution to journalArticlepeer-review

  • Open access

    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 journalArticlepeer-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 journalArticlepeer-review

  • 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 journalArticlepeer-review

  • 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 proceedingConference contribution

  • 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 conferencePaperpeer-review

  • 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 conferencePaperpeer-review

  • 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 proceedingConference contribution

 

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