A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. - Shiwen Shen; Simon X. Han; Panayiotis Petousis; Frank Meng; William Hsu; Alex A. T. Bui (AMIA, 2015)

Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network. - Panayiotis Petousis; Simon X. Han; Denise R. Aberle; Alex A. T. Bui (Artif. Intell. Medicine, 2016)

A Web-based Platform for Evaluating and Disseminating Predictive Models. - William Hsu; Frank Meng; Panayiotis Petousis; Weixia Yu; Alex A. T. Bui (CRI, 2017)

A Bayesian model for estimating multi-state disease progression. - Shiwen Shen; Simon X. Han; Panayiotis Petousis; Robert E. Weiss; Frank Meng; Alex A. T. Bui; William Hsu (Comput. Biol. Medicine, 2017)

Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models. - Panayiotis Petousis; Arash Naeim; Ali Mosleh 001; William Hsu (AMIA, 2018)

Generating reward functions using IRL towards individualized cancer screening. - Panayiotis Petousis; Simon X. Han; William Hsu; Alex A. T. Bui (AIH@IJCAI, 2018)

Using Sequential Decision Making to Improve Lung Cancer Screening Performance. - Panayiotis Petousis; Audrey Winter; William Speier; Denise R. Aberle; William Hsu; Alex A. T. Bui (IEEE Access, 2019)

Optimizing cancer screening with POMDPs. - Panayiotis Petousis (2019)

Autopopulus: A Novel Framework for Autoencoder Imputation on Large Clinical Datasets. - Davina Zamanzadeh; Panayiotis Petousis; Tyler A. Davis; Susanne B. Nicholas; Keith C. Norris; Katherine R. Tuttle; Alex A. T. Bui; Majid Sarrafzadeh (EMBC, 2021)

TSI-GNN: Extending Graph Neural Networks to Handle Missing Data in Temporal Settings. - David Gordon; Panayiotis Petousis; Henry W. Zheng; Davina Zamanzadeh; Alex A. T. Bui (Frontiers Big Data, 2021)

Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before Onset. - David Gordon; Panayiotis Petousis; Anders O. Garlid; Keith C. Norris; Katherine R. Tuttle; Susanne B. Nicholas; Alex A. T. Bui (CoRR, 2023)

Testing Causal Explanations: A Case Study for Understanding the Effect of Interventions on Chronic Kidney Disease. - Panayiotis Petousis; David Gordon; Susanne B. Nicholas; Alex A. T. Bui (CoRR, 2024)

Towards a framework for interoperability and reproducibility of predictive models. - Al Rahrooh; Anders O. Garlid; Kelly Bartlett; Warren Coons; Panayiotis Petousis; William Hsu; Alex A. T. Bui (J. Biomed. Informatics, 2024)

AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury. - David Gordon; Panayiotis Petousis; Susanne B. Nicholas; Alex A. T. Bui (CoRR, 2025)

Improving Drug Identification in Overdose Death Surveillance using Large Language Models. - Arthur J. Funnell; Panayiotis Petousis; Fabrice Harel-Canada; Ruby Romero; Alex A. T. Bui; Adam Koncsol; Hritika Chaturvedi; Chelsea Shover; David Goodman-Meza (CoRR, 2025)