Patrick Schrempf

Research Scientist

About me

I am a Scientist at Canon Medical Research Europe. I completed my EngD Computer Science at the University of St Andrews sponsored by Canon Medical Research Europe (2018-2022). I completed my BSc Computer Science at the University of St Andrews (2014-2018). Originally from Vienna, I grew up bilingual (German and English) and now live in Kinross-shire.

Research

My research is mainly focused on natural language processing & multi-modal approaches in the medical domain. My EngD thesis is titled "NLP-Supervised Stroke Detection in Medical Images" (University of St Andrews, 2022).

Current research groups:
Scientist @ AI Research (Canon Medical Research Europe)
Honorary Research Fellow @ AI Research Group (University of St Andrews)
Honorary Research Fellow @ Health Informatics Group (University of St Andrews)


Publications

The role of noise in denoising models for anomaly detection in medical images
{Elsevier | BibTex}
Medical Image Analysis, Elsevier

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports
{Frontiers | BibTex}
Special Issue: Healthcare Text Analytics, Frontiers Digital Health

Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters
{Frontiers | BibTex}
Special Issue: Healthcare Text Analytics, Frontiers Digital Health

Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports
{MDPI | BibTex}
Special Issue: Interpretable and Annotation-Efficient Learning for Medical Image Computing, MDPI

Paying Per-Label Attention for Multi-label Extraction from Radiology Reports
{Springer | BibTex}
Large-scale Annotation of Biomedical data and Expert Label Synthesis (LABELS) Workshop @ MICCAI 2020

Language Transfer for Early Warning of Epidemics from Social Media
{arXiv | BibTex}
AI+HADR 2019: Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop @ NeurIPS 2019
[presentation] [poster]

Ontological Attention Ensembles for Capturing Semantic Concepts in ICD Code Prediction from Clinical Text
{ACL | BibTex}
LOUHI 2019: The Tenth International Workshop on Health Text Mining and Information Analysis @ EMNLP 2019

RadarCat: Radar Categorization for Input & Interaction
{ACM | BibTex}
Proceedings of the 29th Annual ACM Symposium on User Interface Software & Technology

Triathlon

Since 2016, I have been competing in local aquathlons, duathlons and triathlons.

Here are some results.

Curriculum Vitae

You can view and download my CV here.

View CV View Academic CV