Research Focus
Our research spans several key areas in medical imaging AI:
- Multimodal Analysis: Integrating information from multiple imaging modalities (MRI, CT, PET) along with EHR records and -omics for comprehensive diagnosis.
- Longitudinal Prediction: Developing neural network architectures for disease progression and prediction from multiple arbitrary timepoints of imaging data (along with other multi-modal data).
- Uncertainty: Understanding how uncertainty plays into AI both related to the input (clean labels) and output.
- Collaborations: Collaboration with medical researchers is a central part of our work — knowledge sharing across disciplines is what drives progress in medical AI.