Panayiotis Petousis

According to our database, Panayiotis Petousis authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, January, 2024

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

2023

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

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

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Optimizing cancer screening with POMDPs.

Panayiotis Petousis

PhD thesis, 2019

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

2018

Generating reward functions using IRL towards individualized cancer screening.

Panayiotis Petousis, Simon X. Han, William Hsu, Alex A. T. Bui

Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models.

Panayiotis Petousis, Arash Naeim, Ali Mosleh, William Hsu

Proceedings of the AMIA 2018, 2018

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

A Web-based Platform for Evaluating and Disseminating Predictive Models.

William Hsu, Frank Meng, Panayiotis Petousis, Weixia Yu, Alex A. T. Bui

Proceedings of the Summit on Clinical Research Informatics, 2017

2016

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

2015

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

Proceedings of the AMIA 2015, 2015