Wenjia Bai, Imperial College London - CMIC/WEISS joint seminar series
30 June 2021, 1:00 pm–2:00 pm
Wenjia Bai, Lecturer in Artificial Intelligence in Medicine, Imperial College London - a talk as part of the CMIC/WEISS joint seminar series
Dr Wenjia Bai, Lecturer in Artificial Intelligence in Medicine, Department of Computing and Department of Brain Sciences, Imperial College London
Title: Machine Learning for Cardiac Image Analysis
The key objective of cardiac image analysis is to extract clinically relevant information from the images that can describe the structure and function of the heart and facilitate diagnosis and management of cardiovascular diseases. Machine learning is widely used in cardiac image analysis, such as for automatically segmenting the images and delineating the boundaries of cardiac structures. However, an open challenge is that the current machine learning model may not generalise well for images acquired from different scanners due to the shift of data distributions. It is essential to develop robust machine learning models for cardiac image analysis and also to understand when these models might fail.
In this talk, I will talk about our recent work on machine learning for cardiac image analysis, including improving the robustness of cardiac image segmentation model, automatic detection of segmentation failures and super-resolution for cardiac segmentation. I will demonstrate the applications of these methods on a wide range of cardiac imaging datasets and population studies.
Dr Wenjia Bai is Lecturer in Artificial Intelligence in Medicine at Department of Computing and Department of Brain Sciences, Imperial College London. He is affiliated with Biomedical Image Analysis Group and Data Science Institute. His research is at the interface between machine learning and medical imaging, including developing novel computational methods for medical image analysis as well as translating the methods to clinical research and healthcare. Previously, he completed his D.Phil in Engineering Science at University of Oxford and his M.Eng and B.Eng in Automation at Tsinghua University.