Research Objectives
In the Deep Biomedical Imaging Laboratory, we believe:
- quantitative imaging will play a leading role in a new era of personalized medicine where quantitative methods of engineering and system sciences have a critical role in disease detection, diagnostics, and treatment;
- artificial intelligence (AI), especially deep learning, takes advantage of increased exposure to large and new data sets, has the ability to improve and learn with experience, and will improve the accuracy and efficiency of current medical imaging;
- combining the latest quantitative imaging with the cutting-edge AI algorithms can empower clinicians to improve current clinical practice and patient care, especially for those with less experience or limited resources.
Research Areas
- Artificial Intelligence in Medical Imaging and Medical Physics
- MRI in Cancer Radiotherapy
- Real-Time Tumor Tracking During Radiotherapy
- Quantitative Image Analysis
- CBCT-Guided Adaptive Radiotherapy
- Ultrasound Imaging in Cancer Radiotherapy
- Artificial Intelligence-Driven PET/MRI Imaging
- DECT in Cancer Radiotherapy