Chang, Xiao, Ph.D.
Assistant Professor
Computer Science Department
Andrew F. Brimmer Hall Room 300-E3
ϲͼ, Tuskegee, AL 36088
Office: 334-727-8021
Fax: 334-724-4389
Email: xchang@tuskegee.edu
EDUCATION
- Ph.D., Computer Science, Xi’an Jiaotong University, China, 2010
- M.E., Applied Computer Science, Xi’an University of Technology, China, 2004
- B.E., Applied Computer Science, Xidian University, China, 2000
WORK EXPERIENCE
- Assistant Professor, Department of Computer Science, ϲͼ, Oct. 2019 – Present
- Staff Scientist, Department of Radiation Oncology, Washington University School of Medicine in St. Louis, Feb. 2016 – Sep. 2019
- Postdoctoral Research Associate, Department of Radiation Oncology, Washington University School of Medicine in St. Louis, Aug. 2014 – Jan. 2016
- Postdoctoral Fellow, Department of Computer and Information Science, Indiana University-Purdue University Indianapolis, Feb. 2011 – Jul. 2014
SELECTED PUBLICATIONS
Journal Articles
- Xiao Chang, H. Li, A. Kalet, and D. Yang, “Development and validation of a Bayesian network method to detect external beam radiation therapy physician order errors”. International Journal of Radiation Oncology * Biology * Physics, 2019, 105(2):423-431
- X. Chang, T. Mazur, H. Li, and D. Yang, “A method to recognize anatomical site and image acquisition view in x-ray images”, Journal of Digital Imaging, 2017 30(6):751-760
Abstracts
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Xiao Chang, Harold Li, Yabo FU, Deshan Yang. Knowledge-Based Error Detection in External Beam Physician Orders Using Association Rules. International Journal of Radiation Oncology * Biology * Physics, Volume 102, Issue 3, S119–S120, 2018
- Xiao Chang, Harold Li, Yabo Fu, Baozhao Sun and Deshan Yang. A Method to Detect Errors in Radiation Therapy Physician Orders Using Association Rules. Medical Physics, 2018
- X. Chang, Harold Li, Alan Kalet, Deshan Yang. Detect external beam radiation therapy physician order errors using machine learning. International Journal of Radiation Oncology * Biology * Physics, Volume 99, Issue 2, S71, 2017
- X. Chang, Harold Li, Alan Kalet, Deshan Yang. A Method to Detect Radiation Therapy Physician Order Errors Using Bayesian Networks. Medical Physics, 44 (2017)
- X. Chang, Alan Kalet, Shi Liu, Deshan Yang, “A Unified Machine-Learning Based Probabilistic Model for Automated Anomaly Detection in the Treatment Plan Data,” Medical Physics, 43, 3841(2016).
- X. Chang, Thomas Mazur, Deshan Yang, “Treatment Site and View Recognition in X-Ray Images with Hierarchical Multiclass Recognition Models,” Medical Physics, 43, 3763(2016).
Conference Presentations
- Knowledge-Based Error Detection in External Beam Physician Orders Using Association Rules. ASTRO Annual Meeting, San Antonio, TX, October 21 - 24, 2018.
- A Method to Detect Errors in Radiation Therapy Physician Orders Using Association Rules. 60th American Association of Physicists in Medicine (AAPM) Annual Meeting, Nashville, TN, July 29 – August 2, 2018.
- Detect external beam radiation therapy physician order errors using machine learning, American Society for Radiation Oncology, San Diego, CA, September 24 – 27, 2017.
- A Method to Detect Radiation Therapy Physician Order Errors Using Bayesian Networks. 2017 59th American Association of Physicists in Medicine (AAPM) Annual Meeting, Denver, CO, July 30 – August 3, 2017.
- A Unified Machine-Learning Based Probabilistic Model for Automated Anomaly Detection in the Treatment Plan Data. 2016 58th American Association of Physicists in Medicine (AAPM) Annual Meeting, Washington, DC, USA, July 31 – August 4, 2016.
- Treatment Site and View Recognition in X-Ray Images with Hierarchical Multiclass Recognition Models. 2016 58th American Association of Physicists in Medicine (AAPM) Annual Meeting, Washington, DC, USA, July 31 – August 4, 2016.