|
2026 Journal Article Current progress and obstacles for automated classification of causes of death based on death certificates: A systematic reviewLi, Chaiquan, Meng, Qingyu, Wells, Sue, Barbieri, Sebastiano, Jackson, Rod and Poppe, Katrina (2026). Current progress and obstacles for automated classification of causes of death based on death certificates: A systematic review. International Journal of Medical Informatics, 219 106549, 106549-219. doi: 10.1016/j.ijmedinf.2026.106549 |
|
2026 Journal Article Immediate vs Delayed Free-Flap Breast Reconstruction: Higher Readmission After Immediate Reconstruction in a 20,415-Patient IPTW NSQIP CohortKaramitros, Georgios, Catic, Armin, Gergoudis, Franklin, Kubiak, Carrie A., Thayer, Wesley P., Barbieri, Sebastiano, Jorm, Louisa, Lineaweaver, William C., Perdikis, Galen and Lamaris, Gregory A. (2026). Immediate vs Delayed Free-Flap Breast Reconstruction: Higher Readmission After Immediate Reconstruction in a 20,415-Patient IPTW NSQIP Cohort. Journal of Plastic, Reconstructive & Aesthetic Surgery, 119, 128-138. doi: 10.1016/j.bjps.2026.05.066 |
|
2026 Journal Article The “Stability Paradox” in Facial Fracture Surgery: Increasing Complexity, Stable MorbidityKaramitros, Georgios, Catic, Armin, Pontell, Matthew, Lineaweaver, William C., Redett, Richard J., Manson, Paul N., Barbieri, Sebastiano and Lamaris, Gregory A. (2026). The “Stability Paradox” in Facial Fracture Surgery: Increasing Complexity, Stable Morbidity. Plastic and Reconstructive Surgery, Publish Ahead of Print. doi: 10.1097/PRS.0000000000013234 |
|
2026 Journal Article Initiators of semaglutide in general practice in New South Wales, 2020–2023: a retrospective cohort studyKuo, Nicholas I-Hsien, Hill, Flynn, Arnott, Clare, Douglas, Kirsty, Barbieri, Sebastiano, Ferdousi, Shahana, Gandomkar, Ziba, Gallego-Luxan, Blanca, Woodward, Mark and Jorm, Louisa (2026). Initiators of semaglutide in general practice in New South Wales, 2020–2023: a retrospective cohort study. Heart, Lung and Circulation, 35 (4), 554-562. doi: 10.1016/j.hlc.2025.09.012 |
|
2026 Journal Article 26-A-15088-ACC CLASSIFICATION OF AORTIC STENOSIS SEVERITY USING AUTOMATED LEAFLET TRACKING: INTERNAL AND EXTERNAL VALIDATIONMohammed, Farhan, Meredith, Thomas, Adams, Heath, Pomeroy, Amy, Moran, Thomas Paul, Barbieri, Sebastiano, Meijering, Erik, Roy, David Alexander, Kovacic, Jason Ciril, Hayward, Christopher S., Muller, David W.M., Feneley, Michael P. and Namasivayam, Mayooran (2026). 26-A-15088-ACC CLASSIFICATION OF AORTIC STENOSIS SEVERITY USING AUTOMATED LEAFLET TRACKING: INTERNAL AND EXTERNAL VALIDATION. JACC, 87 (13), A907. doi: 10.1016/j.jacc.2026.02.2238 |
|
2026 Journal Article Predicting cardiovascular events from routine mammograms using machine learningBarraclough, Jennifer Yvonne, Gandomkar, Ziba, Fletcher, Robert A., Barbieri, Sebastiano, Kuo, Nicholas I-Hsien, Rodgers, Anthony, Douglas, Kirsty, Poppe, Katrina K., Woodward, Mark, Luxan, Blanca Gallego, Neal, Bruce, Jorm, Louisa, Brennan, Patrick and Arnott, Clare (2026). Predicting cardiovascular events from routine mammograms using machine learning. Heart, 112 (5), 261-269. doi: 10.1136/heartjnl-2025-325705 |
|
2026 Journal Article Evolution of Length of Stay in Microsurgical Breast Reconstruction: A National Big Data Study of 21,777 Flap Cases from a 16-Year ACS-NSQIP AnalysisKaramitros, Georgios, Catic, Armin, Grant, Michael P., Barbieri, Sebastiano, Jorm, Louisa, Perdikis, Galen and Lamaris, Gregory A. (2026). Evolution of Length of Stay in Microsurgical Breast Reconstruction: A National Big Data Study of 21,777 Flap Cases from a 16-Year ACS-NSQIP Analysis. Plastic & Reconstructive Surgery. doi: 10.1097/prs.0000000000012904 |
|
2026 Journal Article Acquisition-independent deep learning for quantitative MRI parameter estimation using neural controlled differential equationsKuppens, Daan, Barbieri, Sebastiano, van den Berg, Daisy, Schouten, Pepijn, Thoeny, Harriet C., van Laarhoven, Hanneke WM., Wennen, Myrte and Gurney-Champion, Oliver J. (2026). Acquisition-independent deep learning for quantitative MRI parameter estimation using neural controlled differential equations. Medical Image Analysis, 107 (Part A) 103768, 1-15. doi: 10.1016/j.media.2025.103768 |
|
2025 Journal Article Travel times and distances to health services in AustraliaFilipcikova, Michaela, Jorm, Louisa and Barbieri, Sebastiano (2025). Travel times and distances to health services in Australia. Scientific Data, 13 (1) 67. doi: 10.1038/s41597-025-06381-y |
|
2025 Journal Article Aortic valve leaflet motion for diagnosis and classification of aortic stenosis using single view echocardiographyMeredith, Thomas, Mohammed, Farhan, Pomeroy, Amy, Barbieri, Sebastiano, Meijering, Erik, Jorm, Louisa, Roy, David, Hayward, Christopher, Kovacic, Jason C., Muller, David W. M., Feneley, Michael P. and Namasivayam, Mayooran (2025). Aortic valve leaflet motion for diagnosis and classification of aortic stenosis using single view echocardiography. Journal of Cardiovascular Imaging, 33 (1) 8, 1-10. doi: 10.1186/s44348-025-00051-8 |
|
2025 Journal Article Estimating 5-year absolute risk of cardiovascular disease using routinely collected electronic medical records from Australian general practicesKuo, Nicholas I-Hsien, Barbieri, Sebastiano, Arnott, Clare, Gallego, Blanca, Gandomkar, Ziba, Ferdousi, Shahana, Douglas, Kirsty, Woodward, Mark and Jorm, Louisa (2025). Estimating 5-year absolute risk of cardiovascular disease using routinely collected electronic medical records from Australian general practices. Heart, 112 (12) heartjnl-2025-325776, 674-683. doi: 10.1136/heartjnl-2025-325776 |
|
2025 Conference Publication Automated Aortic Valve Motion Analysis from Echocardiography for Efficient Classification of Aortic Stenosis SeverityMohammed, Farhan, Meredith, Tom, Pomeroy, Amy, Barbieri, Sebastiano, Meijering, Erik, Kovacic, Jason, Hayward, Christopher, Muller, David, Feneley, Michael and Namasivayam, Mayooran (2025). Automated Aortic Valve Motion Analysis from Echocardiography for Efficient Classification of Aortic Stenosis Severity. American Heart Association's 2025 Scientific Sessions and the American Heart Association's 2025 Resuscitation Science Symposium, New Orleans, LA United States, 7-10 November 2025. Philadelphia, PA United States: Lippincott Williams & Wilkins. doi: 10.1161/circ.152.suppl_3.4362307 |
|
2025 Conference Publication Should body mass index categories differ by ethnicity? All-cause mortality and incident cardiovascular disease in a multi-ethnic cohort of 400,000 adultsLi, C., Hume, C., Wells, S., Jackson, R., Barbieri, S., Choi, Y. and Poppe, K. (2025). Should body mass index categories differ by ethnicity? All-cause mortality and incident cardiovascular disease in a multi-ethnic cohort of 400,000 adults. ESC Congress 2025 together with World Congress of Cardiology, Madrid, Spain, 29 August-1 September 2025. Oxford, United Kingdom: Oxford University Press. doi: 10.1093/eurheartj/ehaf784.4550 |
|
2025 Conference Publication Generating clinically realistic EHR data via a hierarchy- and semantics-guided transformerZhou, Guanglin and Barbieri, Sebastiano (2025). Generating clinically realistic EHR data via a hierarchy- and semantics-guided transformer. ECAI 2025: 28th European Conference on Artificial Intelligence, Bologna, Italy, 25-30 October 2025. Amsterdam, Netherlands: IOS Press. doi: 10.3233/faia251280 |
|
2025 Journal Article A scoping review of the governance of federated learning in healthcareEden, Rebekah, Chukwudi, Ignatius, Bain, Chris, Barbieri, Sebastiano, Callaway, Leonie, de Jersey, Susan, George, Yasmeen, Gorse, Alain-Dominique, Lawley, Michael, Marendy, Peter, McPhail, Steven M., Nguyen, Anthony, Samadbeik, Mahnaz and Sullivan, Clair (2025). A scoping review of the governance of federated learning in healthcare. npj Digital Medicine, 8 (1) 427, 427-1. doi: 10.1038/s41746-025-01836-3 |
|
2025 Journal Article Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learningShabestari, Motahare, Mehrabbeik, Akram, Barbieri, Sebastiano, Marques-Vidal, Pedro, Heshmati-nasab, Poria and Azizi, Reyhaneh (2025). Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning. Scientific Reports, 15 (1) 18143, 1-13. doi: 10.1038/s41598-025-03030-7 |
|
2025 Journal Article Generative AI mitigates representation bias and improves model fairness through synthetic health dataMarchesi, Raffaele, Micheletti, Nicolo, Kuo, Nicholas I-Hsien, Barbieri, Sebastiano, Jurman, Giuseppe and Osmani, Venet (2025). Generative AI mitigates representation bias and improves model fairness through synthetic health data. PLoS Computational Biology, 21 (5) e1013080, 1-23. doi: 10.1371/journal.pcbi.1013080 |
|
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, 1444658. doi: 10.3389/fcvm.2025.1444658 |
|
2024 Journal Article Prescription opioid use among people with opioid dependence and concurrent benzodiazepine and gabapentinoid exposure: An analysis of overdose and all-cause mortalityBharat, Chrianna, Gisev, Natasa, Barbieri, Sebastiano, Dobbins, Timothy, Larney, Sarah, Buizen, Luke and Degenhardt, Louisa (2024). Prescription opioid use among people with opioid dependence and concurrent benzodiazepine and gabapentinoid exposure: An analysis of overdose and all-cause mortality. International Journal of Drug Policy, 123 104287, 1-8. doi: 10.1016/j.drugpo.2023.104287 |
|
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. doi: 10.2196/51388 |
