Dr. Dan Ruan's research interests include medical imaging, tomography, parametric and nonparamatric estimation, dynamic systems and general inverse problems in medical signal processing. She is interested in physics system modeling and characterization, algorithm development and performance analysis, as well as software-hardware system integration and validation. She is particularly interested in understanding the mathematics and physics in diagnostic radiology and radiation oncology.
Selected Cancer-Related Publications:
Ruan D, Kupelian P, Low DA. Image-guided positioning and tracking. Cancer J. 2011 May-Jun;17(3):155-8.
Ruan D. Prospective detection of large prediction errors: a hypothesis testing approach. Phys Med Biol. 2010 Jul 7;55(13):3885-904.
Ruan D, Keall P. Online prediction of respiratory motion: multidimensional processing with low-dimensional feature learning. Phys Med Biol. 2010 Jun 7;55(11):3011-25. Epub 2010 May 4.
Ruan D. Kernel density estimation-based real-time prediction for respiratory motion. Phys Med Biol. 2010 Mar 7;55(5):1311-26. Epub 2010 Feb 4.