Sebastiano Barbieri

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Top Venues

JMIR medical education

Magnetic resonance in medicine

Scientific data

International journal of epidemiology

This page only lists publications with an associated author ORCID identifier.

Publications

Nicholas I-Hsien Kuo, Oscar Perez-Concha, Mark J Hanly, Emmanuel Mnatzaganian, Brandon Hao, Marcus Di Sipio, Guolin Yu, Jash Vanjara, Ivy Cerelia Valerie, Juliana de Oliveira Costa, Timothy R Churches, Sanja Lujic, Jo Hegarty, Louisa R Jorm, Sebastiano Barbieri
Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project. JMIR medical education 10 (2024)
Nicholas I-Hsien Kuo, Oscar Perez-Concha, Mark J Hanly, Emmanuel Mnatzaganian, Brandon Hao, Marcus Di Sipio, Guolin Yu, Jash Vanjara, Ivy Cerelia Valerie, Juliana de Oliveira Costa, Timothy R Churches, Sanja Lujic, Jo Hegarty, Louisa R Jorm, Sebastiano Barbieri
Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project. JMIR medical education 10 (2024)
Nicholas I-Hsien Kuo, Oscar Perez-Concha, Mark J Hanly, Emmanuel Mnatzaganian, Brandon Hao, Marcus Di Sipio, Guolin Yu, Jash Vanjara, Ivy Cerelia Valerie, Juliana de Oliveira Costa, Timothy R Churches, Sanja Lujic, Jo Hegarty, Louisa R Jorm, Sebastiano Barbieri
Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project. JMIR medical education 10 (2024)
Nicholas I-Hsien Kuo, Oscar Perez-Concha, Mark J Hanly, Emmanuel Mnatzaganian, Brandon Hao, Marcus Di Sipio, Guolin Yu, Jash Vanjara, Ivy Cerelia Valerie, Juliana de Oliveira Costa, Timothy R Churches, Sanja Lujic, Jo Hegarty, Louisa R Jorm, Sebastiano Barbieri
Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project. JMIR medical education 10 (2024)
Nicholas I-Hsien Kuo, Mark N Polizzotto, Simon Finfer, Federico Garcia, Anders Sönnerborg, Maurizio Zazzi, Michael Böhm, Rolf Kaiser, Louisa Jorm, Sebastiano Barbieri
The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms. Scientific data 9 (1) (2022)
Sebastiano Barbieri, Suneela Mehta, Billy Wu, Chrianna Bharat, Katrina Poppe, Louisa R Jorm, Rodney T Jackson
Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach. International journal of epidemiology 51 (3) (2022)
Chrianna Bharat, Sarah Larney, Sebastiano Barbieri, Timothy A Dobbins, Nicola R Jones, Matthew Hickman, Natasa Gisev, Robert Ali, Louisa Degenhardt
The effect of person, treatment and prescriber characteristics on retention in opioid agonist treatment: a 15-year retrospective cohort study. Addiction (Abingdon, England) 116 (11) (2021)
Misha P T Kaandorp, Sebastiano Barbieri, Remy Klaassen, Hanneke Wilma Marlies van Laarhoven, Hans Crezee, Peter T While, Aart J Nederveen, Oliver J Gurney-Champion
Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients. Magnetic resonance in medicine 86 (4) (2021)
Sebastiano Barbieri, Oliver J Gurney-Champion, Remy Klaassen, Harriet C Thoeny
Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI. Magnetic resonance in medicine 83 (1) (2019)
Sebastiano Barbieri, Louisa Jorm
Travel times to hospitals in Australia. Scientific data 6 (1) (2019)