Dan Ruan

Dan Ruan is a Professor-in-Residence in the Radiation Oncology department at the School of Medicine, University of California Los Angeles. His research focuses on advanced medical imaging techniques, radiation therapy optimization, and machine learning applications in medical physics.

• Research Interests: Medical Imaging, Radiation Oncology, Machine Learning, Image Reconstruction, Radiomics, and 4D MRI/CT Techniques

Recent Publications highlight his work in deep learning for MRI acceleration, clustering methods for toxicity prediction, and innovative approaches in diffusion MRI reconstruction. His studies often integrate computational modeling with clinical applications in oncology and cardiology.

Scientific Collaborations span multiple institutions, with frequent co-authorships in journals like Medical Physics, Physics in Medicine and Biology, and Journal of Magnetic Resonance Imaging.