Patrick Schrempf

According to our database, Patrick Schrempf authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

The role of noise in denoising models for anomaly detection in medical images.

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

Medical Image Anal., December, 2023

Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters.

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

Frontiers Digit. Health, March, 2023

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports.

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

Frontiers Digit. Health, March, 2023

2021

Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports.

Patrick Schrempf, Hannah Watson, Eunsoo Park, Maciej Pajak, Hamish MacKinnon, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil

Mach. Learn. Knowl. Extr., 2021

2020

Paying Per-Label Attention for Multi-label Extraction from Radiology Reports.

Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019

Language Transfer for Early Warning of Epidemics from Social Media.

Mattias Appelgren, Patrick Schrempf, Matús Falis, Satoshi Ikeda, Alison Q. O'Neil

CoRR, 2019

Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text.

Matús Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios A. Tsaftaris, Alison O'Neil

Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2016

RadarCat: Radar Categorization for Input & Interaction.

Hui-Shyong Yeo, Gergely Flamich, Patrick Schrempf, David Harris-Birtill, Aaron Quigley

Proceedings of the 29th Annual Symposium on User Interface Software and Technology, 2016