Speaker illustration

Doctor Esther Puyol Anton

King's College London, London (United Kingdom of Great Britain & Northern Ireland)

Dr Esther Puyol Anton completed her Bachelors and Masters of Science at the Polytechnic University of Catalonia (Spain) in Biomedical Signal Processing in 2014. During her studies in Spain, she enrolled in a double degree programme with Telecom Bretagne (France), where she obtained the French Masters of Engineering and a Research Masters in Medical Imaging in 2014. Between 2014-2018, she was a PhD student in the Biomedical Engineering department at King’s College London under the supervision of Dr Andrew King, Dr Paul Aljabar and Prof Julia Schnabel from KCL, and Dr Paolo Piro from Philips Healthcare. The main aim of her PhD was to develop a multimodal statistical atlas of heart function from cardiac MR and ultrasound imaging, which could be applied using only low cost ultrasound imaging. She is currently a postdoc working on developing new AI-enabled tools to assess cardiac function from multimodal data.

Fairness in AI: Are deep learning-based CMR segmentation algorithms biased?

Event: ESC Congress 2021 - The Digital Experience

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: e-Cardiology/Digital Health ePosters

Thumbnail

ESC 365 is supported by

logo Novo Nordisk
logo Bristol Myers Squibb