David Harris-Birtill

According to our database, David Harris-Birtill authored at least 14 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models.

Craig Myles, Patrick Schrempf, David Harris-Birtill

CoRR, February, 2026

2025

SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers.

Craig Myles, In Hwa Um, Craig Marshall, David Harris-Birtill, David J. Harrison

CoRR, February, 2025

2024

Leveraging Foundation Models for Enhanced Detection of Colorectal Cancer Biomarkers in Small Datasets.

Craig Myles, In Hwa Um, David J. Harrison, David Harris-Birtill

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

2022

Automated Remote Pulse Oximetry System (ARPOS).

Pireh Pirzada, David Morrison, Gayle Doherty, Devesh Dhasmana, David Harris-Birtill

Sensors, 2022

Anonymising pathology data using generative adversarial networks.

David Morrison, David Harris-Birtill

Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

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

Radiomics-Led Monitoring of Non-small Cell Lung Cancer Patients During Radiotherapy.

Roushanak Rahmat, David Harris-Birtill, David Finn, Yang Feng, Dean Montgomery, William H. Nailon, Stephen McLaughlin

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020

Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation.

Andreas Stefani, Roushanak Rahmat, David Harris-Birtill

Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 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

2018

Comparison of level set models in image segmentation.

Roushanak Rahmat, David Harris-Birtill

IET Image Process., 2018

2017

Out of sight: a toolkit for tracking occluded human joint positions.

Chi-Jui Wu, Aaron Quigley, David Harris-Birtill

Pers. Ubiquitous Comput., 2017

New Level Set Model in Follow Up Radiotherapy Image Analysis.

Roushanak Rahmat, William Henry Nailon, Allan Price, David Harris-Birtill, Stephen McLaughlin

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

SpeCam: sensing surface color and material with the front-facing camera of a mobile device.

Hui-Shyong Yeo, Juyoung Lee, Andrea Bianchi, David Harris-Birtill, Aaron Quigley

Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2017

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