Computer Vision News - December 2021

42 Congrats, Doctor! Introduction Chen (Cherise) Chen recently completed her Ph.D. a t I mperial College London (ICL) . Her main research interest lies in machine learning and computer vision, and their use inmedical image analysis, with the ultimate goal of improving machine learning algorithms’ robustness and reliability in real- world healthcare applications. She will continue to work as a postdoctoral researcher in her current group: BioMeDIA. Chen would like to thank her supervisors Daniel Rueckert and Wenjia Bai for their continued support and guidance during this long and exciting journey. Congrats, Doctor Chen! Deep neural networks have become a powerful tool to process and analyze medical images, with great potential to accelerate clinical workflows and facilitate large- scale studies. However, in order to achieve clinically acceptable performance at deployment, these networks generally require massive labeled data collected from various domains (e.g., hospitals, scanners). Such large labeled datasets are rarely available in practice, due to the high collection and labeling costs as well as data privacy issues. So, how can we improve the domain generalization and robustness of neural networks for medical imaging using limited labeled data?