Dai Laboratory
- Intelligent Image-Guided Interventions
- Advanced Image Analysis for Personalized Oncology
- Automated Decision Support in Radiation Oncology
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- Imaging Radiobiology Laboratory
- Applying Molecular Imaging to Radiation Oncology
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- Translational Research Group:
- Artificial Intelligence Driven Multiple Brain Metastases (BM) Management
- Total Body Organs-at-Risk (OARs)
- Auto-segmentation
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- Developing deep learning models for high-dimensional omics data analysis
- Interpreting and visualizing complex feature representations learned by neural networks
- Integrating multi-modal datasets to uncover new biological insights and improve clinical decision-making
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- AI for Precision Oncology Lab
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- Collaborative effort between the Stanford Cancer Institute and SLAC National Accelerator Laboratory
- Develop PHASER into a transformative and clinically practical technology
- Technological development and fundamental research on the radiobiology of extremely rapid FLASH therapy
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- Physical Oncology Lab
- Whole-body cell tracking using CellGPS
- Microphysiological models for nuclear medicine
- FLASH radiotherapy
- Microfluidics assays for oncology
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- Development of novel AI strategies for disease diagnosis, treatment planning, therapeutic guidance, prognosis and outcome assessment
- Deep learning-driven image reconstruction and analysis, as well the clinical implementation of the novel quantitative image processing techniques
- Nanotechnology and molecular/biological imaging for precision medicine
