Patrick Schrempf
Patrick Schrempf
Scientist, Canon Medical Research Europe & Honorary Research Fellow, University of St Andrews
Verified email at - Homepage
Cited by
Cited by
Radarcat: Radar categorization for input & interaction
HS Yeo, G Flamich, P Schrempf, D Harris-Birtill, A Quigley
Proceedings of the 29th Annual Symposium on User Interface Software and …, 2016
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text
M Falis, M Pajak, A Lisowska, P Schrempf, L Deckers, S Mikhael, ...
Proceedings of the Tenth International Workshop on Health Text Mining and …, 2019
The role of noise in denoising models for anomaly detection in medical images
A Kascenas, P Sanchez, P Schrempf, C Wang, W Clackett, SS Mikhael, ...
Medical Image Analysis 90, 102963, 2023
Templated text synthesis for expert-guided multi-label extraction from radiology reports
P Schrempf, H Watson, E Park, M Pajak, H MacKinnon, KW Muir, ...
Machine Learning and Knowledge Extraction 3 (2), 299-317, 2021
Paying per-label attention for multi-label extraction from radiology reports
P Schrempf, H Watson, S Mikhael, M Pajak, M Falis, A Lisowska, KW Muir, ...
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports
A Casey, E Davidson, C Grover, R Tobin, A Grivas, H Zhang, P Schrempf, ...
Frontiers in digital health 5, 1184919, 2023
Language Transfer for Early Warning of Epidemics from Social Media
M Appelgren, P Schrempf, M Falis, S Ikeda, AQ O'Neil
Artificial Intelligence for Humanitarian Assistance and Disaster Response …, 2019
Classification method and device
HS Yeo, A Quigley, G Flamich, P Schrempf, D Harris-Birtill
US Patent 11,867,833, 2024
Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data
A Kascenas, C Wang, P Schrempf, R Grech, HL Goh, M Hall, AQ O’Neil
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters
M Cutforth, H Watson, C Brown, C Wang, S Thomson, D Fell, V Dilys, ...
Frontiers in Digital Health 5, 1186516, 2023
NLP-supervised stroke detection in medical images
PM Schrempf
The University of St Andrews, 2023
Text processing method and apparatus
P Schrempf, A O'neil, H Watson
US Patent App. 17/450,339, 2022
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