Research

Keywords: Medical image computing, Machine Learning, Robustness, Uncertainty, Human-machine collaboration, Medical ultrasound, MRI

My research centres on machine learning and computer vision approaches for medical data interpretation and analysis. We aim at 1. streamlining clinical workflows and improving patient outcomes with easy-to-deploy, robust, and trustworthy machine learning approaches; 2. enhancing human-machine collaborations in clinical settings through both novel algorithms and user studies; 3. accelerating medical science research, especially those involving imaging phenotypes, with machine learning approaches. Topics of our research include but are not limited to the following:

• Multimodal learning for medical image, signal, language, and more
• Data-efficient, trustworthy, and/or privacy-preserving machine learning for medical imaging
• Human-machine collaboration and human factor/skill analysis in medical imaging
• Applications of the above approaches in addressing clinical and research challenges (e.g., for cardiac imaging)

Please find my Google Scholar profile for a full list of past publications.