Institute of Biomedical Engineering DPhil Student wins Bill and Gary Sanders Poster Award

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IBME and Health Data Science Centre for Doctoral Training student, Thalia Seale, was awarded the Bill and Gary Sanders Poster Award at the 51st International Computing in Cardiology Conference 2024, held in Karlsruhe, Germany

Institute of Biomedical Engineering DPhil Student wins Bill and Gary Sanders Poster Award

The International Computing in Cardiology Conference (CinC) aims to provide a platform for interdisciplinary discussions, drawing professionals from fields such as Medicine, Physics, Engineering, and Computer Science, and exploring developments at the intersection of clinical practice, cardiac electrophysiology and physiology, engineering, and fundamental research. Thalia’s research, titled “Modelling Multi-phase Cardiac Anatomy with Generative Deep Learning”, introduces a statistical shape analysis and deep learning model for characterising variations in cardiac motion patterns from 4D MRI.

Her work aligns well with the CinC community’s commitment to fostering interdisciplinary collaboration in advancing cardiology, as well as, the goals of the MultiMeDIA Lab at the Institute of Biomedical Engineering (IBME), led by her supervisor Dr. Abhirup Banerjee PhD FDIRDI, Royal Society University Research Fellow, focusing on integrating multiple modalities to enhance patient outcomes. Her research lays the groundwork for future multimodal approaches that integrate cardiac motion analysis with other data sources, such as electrocardiograms (ECG), to provide deeper insights. The model has potential applications in clinical data analysis, enabling the investigation of disease development and phenotyping in conditions such as cardiomyopathy.

Dr Banerjee supervises Thalia’s doctoral research along with co-supervision by Professor Vicente Grau, Professor of Biomedical Image Analysis and Professor Blanca Rodriguez, Professor of Computational Medicine. Thalia joined the IBME in 2023 as a doctoral student supported by the EPSRC Health Data Science CDT, following her graduation from the University of Oxford with an MSc in Statistical Science.

Reflecting on the conference, Thalia said: “It was incredibly rewarding to receive such strong engagement and support for my research and poster presentation. Fellow students and academics at the conference provided valuable constructive feedback, fresh ideas, and encouragement, which have been extremely motivating. I’m grateful for the support of my supervisors and the opportunity to showcase my work.”