As a biomedical informatician, Dr. Alex Bui's cancer research encompasses the use of imaging and other observational data (e.g., from electronic health records, EHRs) to develop predictive models for cancer screening, diagnosis, and prognosis. He has also conducted key research in areas related to cancer data models, clinical decision support / visualization, and patient engagement through EHR portals. His work includes the use of artificial intelligence (AI)-based methods including machine and reinforcement learning techniques to establish insights and optimize the delivery of care, with past and current work in the areas of lung and brain cancer.
Shen S, Han SX, Petousis P, Weiss RE, Meng F, Bui AAT, Hsu W. A Bayesian model for estimating multi-state disease progression. Computers in Biology and Medicine, 2017; 81:111-120.
Garcia-Gathright J, Matiasz NJ, Adame C, Sarma K, Sauer L, Smedley N, Spiegel ML, Strunck J, Garon EB, Taira RK, Aberle DR, Bui AAT. Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies. Computers in Biology & Medicine, 2018; 92:55-63
Petousis P, Han SX, Hsu W, Bui AAT. Generating reward functions using IRL towards individualized cancer screening. Lectures Notes in Artificial Intelligence, Artificial Intelligence in Health (Revised Selected Papers from AIH 2018), 2019, pp. 213-227.
Shen S, Han SX, Aberle DR, Bui AAT, Hsu W. Interpretable deep hierarchical semantic convolutional neural network for lung cancer prediction. Expert Systems with Applications, 2019.
Petousis P, Winters A, Speier W, Aberle DR Hsu W, Bui AAT. Using sequential decision making to improve lung cancer screening performance. IEEE Access 2019; 7: 119403-119419.