My work focuses on machine learning for medical image analysis. Machine learning algorithms learn from examples in order to make predictions about novel data. For example, by learning from medical scans with annotated abnormalities, the algorithms can detect abnormalities in previously unseen patients. One example is detecting the lung disease COPD. Because obtaining ground-truth annotations is time-consuming, I am in particular interested in learning scenarios where few labels are available, such as:
- multiple instance learning
- transfer learning or domain adaptation
My publications can be found below and my Google scholar page is here.