Thalia Seale

According to our database, Thalia Seale authored at least 3 papers between 2024 and 2026.

Collaborative distances:

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

2026

Geometric Deep Learning Model of Left Atrial Geometry and Conduction Velocity in Atrial Fibrillation.

Thalia Seale, Alexander J. Sharp, Abhirup Banerjee

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2024

Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation.

Wentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders.

Thalia Seale, Marcel Beetz, Blanca Rodríguez, Vicente Grau, Abhirup Banerjee

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024