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2025 Journal Article Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipientsMeredith, Thomas, Mohammed, Farhan, Pomeroy, Amy, Barbieri, Sebastiano, Meijering, Erik, Jorm, Louisa, Roy, David, Kovacic, Jason, Feneley, Michael, Hayward, Christopher, Muller, David and Namasivayam, Mayooran (2025). Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients. Frontiers in Cardiovascular Medicine, 12 1444658. doi: 10.3389/fcvm.2025.1444658 |
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2024 Journal Article Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym ProjectKuo, Nicholas I-Hsien, Perez-Concha, Oscar, Hanly, Mark, Mnatzaganian, Emmanuel, Hao, Brandon, Di Sipio, Marcus, Yu, Guolin, Vanjara, Jash, Valerie, Ivy Cerelia, de Oliveira Costa, Juliana, Churches, Timothy, Lujic, Sanja, Hegarty, Jo, Jorm, Louisa and Barbieri, Sebastiano (2024). Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project. JMIR Medical Education, 10 (1) e51388, e51388-10. doi: 10.2196/51388 |
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2023 Journal Article Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: example using antiretroviral therapy for HIVKuo, Nicholas I-Hsien, Garcia, Federico, Sönnerborg, Anders, Böhm, Michael, Kaiser, Rolf, Zazzi, Maurizio, Polizzotto, Mark, Jorm, Louisa and Barbieri, Sebastiano (2023). Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: example using antiretroviral therapy for HIV. Journal of Biomedical Informatics, 144 104436. doi: 10.1016/j.jbi.2023.104436 |
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2021 Journal Article Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patientsKaandorp, Misha P. T., Barbieri, Sebastiano, Klaassen, Remy, van Laarhoven, Hanneke W. M., Crezee, Hans, While, Peter T., Nederveen, Aart J. and Gurney-Champion, Oliver J. (2021). Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients. Magnetic Resonance in Medicine, 86 (4), 2250-2265. doi: 10.1002/mrm.28852 |
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2020 Journal Article Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRIBarbieri, Sebastiano, Gurney-Champion, Oliver J., Klaassen, Remy and Thoeny, Harriet C. (2020). Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI. Magnetic Resonance in Medicine, 83 (1), 312-321. doi: 10.1002/mrm.27910 |
