Christopher Miller, MD, MS

Assistant Professor, Medical Imaging - (Clinical Scholar Track)
Associate Program Director, Diagnostic Radiology Residency
Course Director, Medical Student Radiology Electives
  • MD: Temple University School of Medicine, Philadelphia, PA
  • MS: Biomedical Informatics, Arizona State University, Tempe, AZ
  • BS: Biology, Arizona State University, Tempe, AZ, Magna Cum Laude
Honors and Awards
  • Medical School Dean's Award - 2009-2010
  • ASU Provost Scholarship, 2002-2006
  • National Hispanic Scholarship, 2002-2006
  • ASU Dean’s List, 2002-2006
  • Tucson Hospitals Medical Education Program, Tucson, Arizona
  • Diagnostic Radiology, University of Arizona - Banner University Medical Center
  • Body MRI Fellowship: Mayo Clinic School of Graduate Medical Education, Phoenix, Arizona
Board Certifications
  • American Board of Radiology

Select Publications


Avery, R., I. Ebong, R. Skaria, K. Day, C. Miller, E. Juneman, I. Oliva, M. Friedman, S. Maltais, and Z. Khalpey, "Preoperative Risk Stratification of Right Ventricular Function Utilizing Cardiac Magnetic Resonance Imaging Compared With Echocardiographic and Hemodynamic Parameters.", ASAIO J, vol. 66, issue 5, pp. 547-552, 2020 05.
Rodriguez, E. A., R. Perez, N. Zhang, E. S. Lim, C. Miller, M. A. Schwartz, A. J. McGirr, A. Srinivasan, W. Hewitt, A. C. Silva, et al., "Clinical Outcomes of Portosystemic Shunts on the Outcome of Liver Transplantation.", Liver Transpl, vol. 26, issue 5, pp. 693-701, 2020 05.


Woodhead, G., H. Babiker, C. Miller, and A. Shah, "Right tumor, right time: Systematic methodology for fiducial marker placement to achieve reliable and reproducible image guided (IG) delivery of intratumoral immunotherapy into deep/visceral (D/V) lesions and target-lesion imaging follow-up", Journal of Clinical Oncology, vol. 36, 05/2018.


Miller, C., and M. F. Goldberg, "Susceptibility-weighted imaging and computed tomography perfusion abnormalities in diagnosis of classic migraine.", Emerg Radiol, vol. 19, issue 6, pp. 565-9, 2012 Dec.


"Enabling Recognition of Diseases in Biomedical Text with Machine Learning: Corpus and Benchmark.", Proceedings of the 2009 Symposium on Languages in Biology and Medicine, vol. 82, 2009.