Jie Deng, Ph.D., Professor
Research Interests
- MR guidance for cancer radiotherapy
- Quantitative MRI and imaging biomarker
- AI in medical imaging
Hao Gao, Ph.D., Professor
Research Interests
- Radiation therapy treatment planning and optimization methods
- Development of novel imaging and treatment technologies
- Partical therapy optimization
Andrew Godley, Ph.D., FAAPM, Professor
Research Interests
- Clinical implementation of AI-based decision support to improve plan quality
Raquibul Hannan, M.D., Ph.D., Professor
Mu-Han Lin, Ph.D., Professor
Hao Peng, Ph.D., Professor
Asal Rahimi, M.D., M.S., Professor
David Sher, M.D., M.P.H., Professor
Research Interests
- AI-assisted decision making and automation for head and neck cancer radiotherapy
Jing Wang, Ph.D., Professor
Research Interests
- AI-assisted clinical decision making and medical image processing
- Lesion classification
- Radiomics
- Treatment outcome prediction
Yulong Yan, Ph.D., Professor
Shahed Badiyan, M.D., Associate Professor
Research Interests
- MR guidance for cancer radiotherapy
- Quantitative MRI and imaging biomarkers
- AI in radiation therapy treatment planning
Bin Cai, Ph.D., Associate Professor
Tu Dan, M.D., Associate Professor
Research Interests
- Adaptive MR-guided radiotherapy
- Radiogenomics
- AI-assisted treatment planning for brain tumors
Neil Desai, M.D., Associate Professor
Aurelie Garant, M.D., Associate Professor
Research Interests
- Target delineation for prostate and bladder cancer radiotherapy
- AI-assisted transperineal procedures with image guidance
Weiguo Lu, Ph.D., Associate Professor
Research Interests
- Intelligent imaging, planning, and quality assurance for radiotherapy
- Medical error detection and prevention
- High-performance computation
Dan Nguyen, Ph.D., Associate Professor
Research Interests
- Intelligent treatment planning for cancer radiotherapy
- Optimization techniques and algorithms
Nina Sanford, M.D., Associate Professor
Zabi Wardak, M.D., Associate Professor
Ying Zhang, Ph.D., Associate Professor
Research Interests
- MRI-guided online adaptive radiotherapy
- AI-assisted image auto-segmentation
- AI-accelerated adaptive replanning and delivery
You Zhang, Ph.D., Associate Professor
Research Interests
- Intelligent 4D image reconstruction and motion modeling
- AI-driven real-time volumetric imaging and target localization
- AI-driven automatic quality assurance for radiotherapy
Tingliang Zhuang, Ph.D., Associate Professor
Prasanna Alluri, M.D., Ph.D., Assistant Professor
Ti Bai, Ph.D., Assistant Professor
Research Interests
- Designing, developing, and translating innovative and practical AI technologies to improve health care performance and efficiency.
Liyuan Chen, Ph.D., Assistant Professor
Research Interests
- Inverse treatment planning
- Medical image processing: denoising, deblurring, segmentation, classification, and registration
- Medical image reconstruction
- Treatment outcome prediction
Michael Dohopolski, M.D., Assistant Professor
Research Interests
- Adaptive radiation therapy
- AI in medical imaging
- AI-based outcome predictions
- AI uncertainty quantification
- Application of large language models
Yesenia Gonzalez, Ph.D., Assistant Professor
Heejung Kim, Ph.D., Assistant Professor
Dillon Li, M.D., Assistant Professor
Research Interests
- Precision radiation therapy strategies based on the integration of tumor genomic profiling
- AI-assisted radiogenomics modeling
Chenyang Shen, Ph.D., Assistant Professor
Research Interests
- Machine learning/deep learning algorithms for cancer radiotherapy
- Intelligent treatment planning
- Numerical optimization algorithms for medical imaging and treatment planning
Justin Visak, Ph.D., Assistant Professor
Daniel Yang, M.D., Assistant Professor
Research Interests
- Machine learning applications for clinical oncology
- Clinical informatics tools to improve patient care
Bowen Jing, Ph.D., Instructor
Research Interests
- AI in medical image analysis
- Treatment outcome prediction
- Radiomics and image biomarkers
Mahdieh Kazemimoghadam, Ph.D., Instructor
Research Interests
- AI in medicine
- Deep learning and predictive models
- Medical image segmentation
Jin Seung Kim, Ph.D., Visiting Associate Professor
