Patrick Schrempf

13 papers A* 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models.
CoRR
Craig Myles, Patrick Schrempf, David Harris-Birtill
2025 J jnl
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports.
CoRR
Francesco Dalla Serra, Patrick Schrempf, Chaoyang Wang, Zaiqiao Meng, Fani Deligianni, Alison Q. O'Neil
2023 J jnl
Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters.
Frontiers Digit. Health
Murray Cutforth, Hannah Watson, Cameron Brown, Chaoyang Wang, Stuart Thomson, Dickon Fell, Vismantas Dilys, Morag Scrimgeour, Patrick Schrempf, James Lesh, Keith Muir, Alexander Weir, Alison Q. O'Neil
2023 — conf
Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data.
DALI@MICCAI
Antanas Kascenas, Chaoyang Wang, Patrick Schrempf, Ryan Grech, Hui Lu Goh, Mark Hall, Alison Q. O'Neil
2023 J jnl
The role of noise in denoising models for anomaly detection in medical images.
CoRR
Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil
2023 J jnl
The role of noise in denoising models for anomaly detection in medical images.
Medical Image Anal.
Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil
2023 J jnl
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports.
Frontiers Digit. Health
Arlene Casey, Emma M. Davidson, Claire Grover, Richard Tobin, Andreas Grivas, Huayu Zhang, Patrick Schrempf, Alison Q. O'Neil, Liam Lee, Michael Walsh, Freya Pellie, Karen Ferguson, Vera Cvoro, Honghan Wu, Heather Whalley, Grant Mair, William Whiteley, Beatrice Alex
2021 J jnl
Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports.
Mach. Learn. Knowl. Extr.
Patrick Schrempf, Hannah Watson, Eunsoo Park, Maciej Pajak, Hamish MacKinnon, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
2020 — conf
Paying Per-Label Attention for Multi-label Extraction from Radiology Reports.
iMIMIC/MIL3ID/LABELS@MICCAI
Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
2020 J jnl
Paying Per-label Attention for Multi-label Extraction from Radiology Reports.
CoRR
Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil
2019 J jnl
Language Transfer for Early Warning of Epidemics from Social Media.
CoRR
Mattias Appelgren, Patrick Schrempf, Matús Falis, Satoshi Ikeda, Alison Q. O'Neil
2019 — conf
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text.
LOUHI@EMNLP
Matús Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios A. Tsaftaris, Alison O'Neil
2016 A* conf
RadarCat: Radar Categorization for Input & Interaction.
UIST
Hui-Shyong Yeo, Gergely Flamich, Patrick Schrempf, David Harris-Birtill, Aaron Quigley