Simon X. Han
- UCLA Bioengineering
Office: 924 Westwood Blvd, Suite 420, Room P
Simon has worked on numerous projects in MII, such as observational databases for various cancer patients, system for assessing the concordance between radiology findings and pathology findings, and lung cancer disease modeling. Currently, Simon is investigating sequential decision making in a breast cancer screening context.
- Shen S, Han SX, Petousis P, Weiss RE, Meng F, Bui AAT, Hsu W. A Bayesian model for estimating multi-state disease progression. Comput Biol Med. 2017;81:1111–120. DOI: 10.1016/j.compbiomed.2016.12.011. PDF
- Petousis P, Han SX, Aberle D, Bui AAT. Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network . Artificial Intelligence in Medicine [Internet]. 2016;72:42–55. Retrieved from: http://www.sciencedirect.com/science/article/pii/S0933365716301063 DOI: http://dx.doi.org/10.1016/j.artmed.2016.07.001. PDF
- Hsu W, Han SX, Arnold CW, Bui AAT, Enzmann DR. A data-driven approach for quality assessment of radiologic interpretations. J Am Med Inform Assoc. 2015; DOI: 10.1093/jamia/ocv161.