By Dr Sebastiano Barbieri

Book Chapters

Barbieri S; Härmä KH; Thoeny HC, 2017, 'Imaging of lymph nodes', in Hamm B; Forstner R; Cunha TM (ed.), MRI and CT of the female pelvis, Springer, Cham, Switzerland, pp. 369 - 379, http://dx.doi.org/10.1007/174_2017_64

Klein J; Barbieri S; Stuke H; Bauer M; Egger J; Nimsky C; Hahn H, 2010, 'On the Reliability of Diffusion Neuroimaging', in Marta Del-Ben C (ed.), Neuroimaging, IntechOpen

Barbieri S; Welk M; Weickert J, 2009, 'A variational approach to the registration of tensor-valued images', in Aja-Fernández S; de Luis García R; Tao D; Li X (ed.), Tensors in Image Processing and Computer Vision, Springer, London, pp. 59 - 77

Journal articles

Filipcikova M; Jorm L; Barbieri S, 2026, 'Travel times and distances to health services in Australia', Scientific Data, 13, http://dx.doi.org/10.1038/s41597-025-06381-y

Li C; Meng Q; Wells S; Barbieri S; Jackson R; Poppe K, 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, http://dx.doi.org/10.1016/j.ijmedinf.2026.106549

Karamitros G; Catic A; Galdyn I; Golinko M; Pontell M; Braun SA; Lineaweaver WC; Redett RJ; Barbieri S; Lamaris GA, 2026, 'Postoperative Morbidity of Facial Fracture Repair: A National Big-Data Analysis of 4805 Cases Across 16 Years.', Journal of Craniofacial Surgery, http://dx.doi.org/10.1097/scs.0000000000013319

Karamitros G; Catic A; Gergoudis F; Kubiak CA; Thayer WP; Barbieri S; Jorm L; Lineaweaver WC; Perdikis G; Lamaris GA, 2026, 'Immediate versus delayed free-flap breast reconstruction: Higher readmission after immediate reconstruction in a 20,415-patient IPTW NSQIP cohort', Journal of Plastic Reconstructive and Aesthetic Surgery, 119, pp. 128 - 138, http://dx.doi.org/10.1016/j.bjps.2026.05.066

Kuo NIH; Barbieri S; Arnott C; Gallego B; Gandomkar Z; Ferdousi S; Douglas K; Woodward M; Jorm L, 2026, 'Estimating 5-year absolute risk of cardiovascular disease using routinely collected electronic medical records from Australian general practices', Heart, 112, pp. 674 - 683, http://dx.doi.org/10.1136/heartjnl-2025-325776

Karamitros G; Catic A; Pontell M; Lineaweaver WC; Redett RJ; Manson PN; Barbieri S; Lamaris GA, 2026, 'The “Stability Paradox” in Facial Fracture Surgery: Increasing Complexity, Stable Morbidity', Plastic and Reconstructive Surgery, Publish Ahead of Print, http://dx.doi.org/10.1097/PRS.0000000000013234

Kuo NIH; Hill F; Arnott C; Douglas K; Barbieri S; Ferdousi S; Gandomkar Z; Gallego-Luxan B; Woodward M; Jorm L, 2026, 'Initiators of Semaglutide in General Practice in New South Wales, 2020–2023: A Retrospective Cohort Study', Heart Lung and Circulation, 35, pp. 554 - 562, http://dx.doi.org/10.1016/j.hlc.2025.09.012

Barraclough JY; Gandomkar Z; Fletcher RA; Barbieri S; Kuo NIH; Rodgers A; Douglas K; Poppe KK; Woodward M; Luxan BG; Neal B; Jorm L; Brennan P; Arnott C, 2026, 'Predicting cardiovascular events from routine mammograms using machine learning', Heart, 112, pp. 261 - 269, http://dx.doi.org/10.1136/heartjnl-2025-325705

Karamitros G; Catic A; Grant MP; Barbieri S; Jorm L; Perdikis G; Lamaris GA, 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 and Reconstructive Surgery, Publish Ahead of Print, http://dx.doi.org/10.1097/PRS.0000000000012904

Kuppens D; Barbieri S; van den Berg D; Schouten P; Thoeny HC; van Laarhoven HWM; Wennen M; Gurney-Champion OJ, 2026, 'Acquisition-independent deep learning for quantitative MRI parameter estimation using neural controlled differential equations', Medical Image Analysis, 107, http://dx.doi.org/10.1016/j.media.2025.103768

Catic A; Karamitros G; Lineaweaver WC; Lamaris GA; Pratibh P; Manson PN; Redett R; Barbieri S; Jorm L, 2026, 'The FACT-Score: Development and Temporal Validation of a Clinical Risk Stratification Tool for 30-Day Complications After Operative Facial Fracture Repair', Journal of Craniofacial Surgery, http://dx.doi.org/10.1097/SCS.0000000000013173

Mohammed F; Meredith T; Adams H; Pomeroy A; Moran TP; Barbieri S; Meijering E; Roy DA; Kovacic JC; Hayward CS; Muller DWM; Feneley MP; Namasivayam M, 2026, '26-A-15088-ACC CLASSIFICATION OF AORTIC STENOSIS SEVERITY USING AUTOMATED LEAFLET TRACKING: INTERNAL AND EXTERNAL VALIDATION', JACC, 87, pp. A907 - A907, http://dx.doi.org/10.1016/j.jacc.2026.02.2238

Li C; Hume C; Wells S; Poppe K; Choi Y; Barbieri S; Jackson R, 2026, 'Body Mass Index Levels Associated With the Lowest All-Cause Mortality in Five Ethnic Groups: A Contemporary Population-Based Cohort Study', Heart Lung and Circulation, 35, pp. s65 - s66, http://dx.doi.org/10.1016/j.hlc.2026.04.102

Eden R; Chukwudi I; Bain C; Barbieri S; Callaway L; de Jersey S; George Y; Gorse AD; Lawley M; Marendy P; McPhail SM; Nguyen A; Samadbeik M; Sullivan C, 2025, 'A scoping review of the governance of federated learning in healthcare', Npj Digital Medicine, 8, http://dx.doi.org/10.1038/s41746-025-01836-3

Meredith T; Mohammed F; Pomeroy A; Barbieri S; Meijering E; Jorm L; Roy D; Hayward C; Kovacic JC; Muller DWM; Feneley MP; Namasivayam M, 2025, 'Aortic valve leaflet motion for diagnosis and classification of aortic stenosis using single view echocardiography', Journal of Cardiovascular Imaging, 33, http://dx.doi.org/10.1186/s44348-025-00051-8

Shabestari M; Mehrabbeik A; Barbieri S; Marques-Vidal P; Heshmati-nasab P; Azizi R, 2025, 'Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning', Scientific Reports, 15, http://dx.doi.org/10.1038/s41598-025-03030-7

Li C; Hume C; Wells S; Jackson R; Barbieri S; Choi Y; 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', European Heart Journal, 46, http://dx.doi.org/10.1093/eurheartj/ehaf784.4550

Marchesi R; Micheletti N; I-Hsien Kuo N; Barbieri S; Jurman G; Osmani V, 2025, 'Generative AI mitigates representation bias and improves model fairness through synthetic health data', Plos Computational Biology, 21, http://dx.doi.org/10.1371/journal.pcbi.1013080

Meredith T; Mohammed F; Pomeroy A; Barbieri S; Meijering E; Jorm L; Roy D; Kovacic J; Feneley M; Hayward C; Muller D; Namasivayam M, 2025, 'Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients', Frontiers in Cardiovascular Medicine, 12, pp. 1444658, http://dx.doi.org/10.3389/fcvm.2025.1444658

Meredith T; Mohammed F; Pomeroy A; Barbieri S; Meijering E; Jorm L; Roy D; Kovacic J; Muller D; Feneley M; Namasivayam M, 2025, 'TCT-593 Aortic Valve Leaflet Motion for Diagnosis and Classification of Aortic Stenosis Using Single View Echocardiography', JACC, 86, pp. B258 - B258, http://dx.doi.org/10.1016/j.jacc.2025.09.733

Kuo NIH; Perez-Concha O; Hanly M; Mnatzaganian E; Hao B; Di Sipio M; Yu G; Vanjara J; Valerie IC; de Oliveira Costa J; Churches T; Lujic S; Hegarty J; Jorm L; Barbieri S, 2024, 'Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project', Jmir Medical Education, 10, http://dx.doi.org/10.2196/51388

Bharat C; Gisev N; Barbieri S; Dobbins T; Larney S; Buizen L; Degenhardt L, 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, http://dx.doi.org/10.1016/j.drugpo.2023.104287

Meredith T; Mohammed F; Pomeroy A; Barbieri S; Meijering E; Jorm L; Feneley MP; Muller D, 2024, 'TCT-210 Machine Learning Cluster Analysis Identifies Increased 12-Month Mortality Risk in Transcatheter Aortic Valve Replacement Recipients', Journal of the American College of Cardiology, 84, pp. b20, http://dx.doi.org/10.1016/j.jacc.2024.09.246

Carson JM; Barbieri S; Cunningham E; Mao E; van der Valk M; Rockstroh JK; Hellard M; Kim A; Bhagani S; Feld JJ; Gane E; Thurnheer MC; Bruneau J; Tu E; Dore GJ; Matthews GV; Martinello M, 2023, 'Sexual and drug use risk behaviour trajectories among people treated for recent HCV infection: the REACT study', Journal of the International AIDS Society, 26, pp. e26168, http://dx.doi.org/10.1002/jia2.26168

Kuo NIH; Garcia F; Sönnerborg A; Böhm M; Kaiser R; Zazzi M; Polizzotto M; Jorm L; Barbieri S, 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, http://dx.doi.org/10.1016/j.jbi.2023.104436

Ibrahim M; Suleiman ME; Gandomkar Z; Tavakoli Taba A; Arnott C; Jorm L; Barraclough JY; Barbieri S; Brennan PC, 2023, 'Associations of Breast Arterial Calcifications with Cardiovascular Disease', Journal of Women S Health, 32, pp. 529 - 545, http://dx.doi.org/10.1089/jwh.2022.0394

Carson JM; Barbieri S; Matthews GV; Dore GJ; Hajarizadeh B, 2023, 'Corrigendum to ‘National trends in retreatment of HCV due to reinfection or treatment failure in Australia’ (J Hepatol [2023] 260–270) (Journal of Hepatology (2023) 78(2) (260–270), (S016882782203118X), (10.1016/j.jhep.2022.09.011))', Journal of Hepatology, 78, pp. 1084, http://dx.doi.org/10.1016/j.jhep.2023.02.020

Carson J; Barbieri S; Matthews GV; Dore GJ; Hajarizadeh B, 2023, 'Increasing national trend of direct-acting antiviral discontinuation among people treated for HCV 2016-2021', Hepatology Communications, 7, pp. e0125, http://dx.doi.org/10.1097/HC9.0000000000000125

Carson JM; Barbieri S; Matthews GV; Dore GJ; Hajarizadeh B, 2023, 'National trends in retreatment of HCV due to reinfection or treatment failure in Australia', Journal of Hepatology, 78, pp. 260 - 270, http://dx.doi.org/10.1016/j.jhep.2022.09.011

Liu J; Gallego B; Barbieri S, 2022, 'Incorporating uncertainty in learning to defer algorithms for safe computer-aided diagnosis', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-05725-7

Kuo NIH; Polizzotto MN; Finfer S; Garcia F; Sönnerborg A; Zazzi M; Böhm M; Kaiser R; Jorm L; Barbieri S, 2022, 'The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms', Scientific Data, 9, http://dx.doi.org/10.1038/s41597-022-01784-7

Bharat C; Gisev N; Barbieri S; Dobbins T; Larney S; Farrell M; Degenhardt L, 2022, 'Trends in opioid analgesic utilisation among people with a history of opioid dependence', Drug and Alcohol Dependence, 238, http://dx.doi.org/10.1016/j.drugalcdep.2022.109548

Ottens T; Barbieri S; Orton MR; Klaassen R; van Laarhoven HWM; Crezee H; Nederveen AJ; Zhen X; Gurney-Champion OJ, 2022, 'Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer', Medical Image Analysis, 80, http://dx.doi.org/10.1016/j.media.2022.102512

Davies T; Louie JCY; Ndanuko R; Barbieri S; Perez-Concha O; Wu JHY, 2022, 'A Machine Learning Approach to Predict the Added-Sugar Content of Packaged Foods', Journal of Nutrition, 152, pp. 343 - 349, http://dx.doi.org/10.1093/jn/nxab341

Bharat C; Larney S; Barbieri S; Dobbins T; Jones NR; Hickman M; Gisev N; Ali R; Degenhardt L, 2021, 'The effect of person, treatment and prescriber characteristics on retention in opioid agonist treatment: a 15-year retrospective cohort study', Addiction, 116, pp. 3139 - 3152, http://dx.doi.org/10.1111/add.15514

Bharat C; Degenhardt L; Dobbins T; Larney S; Farrell M; Barbieri S, 2021, 'Using administrative data to predict cessation risk and identify novel predictors among new entrants to opioid agonist treatment', Drug and Alcohol Dependence, 228, http://dx.doi.org/10.1016/j.drugalcdep.2021.109091

Kaandorp MPT; Barbieri S; Klaassen R; van Laarhoven HWM; Crezee H; While PT; Nederveen AJ; Gurney-Champion OJ, 2021, 'Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients', Magnetic Resonance in Medicine, 86, pp. 2250 - 2265, http://dx.doi.org/10.1002/mrm.28852

Welberry HJ; Jorm LR; Schaffer AL; Barbieri S; Hsu B; Harris MF; Hall J; Brodaty H, 2021, 'Psychotropic medicine prescribing and polypharmacy for people with dementia entering residential aged care: the influence of changing general practitioners', Medical Journal of Australia, 215, pp. 130 - 136, http://dx.doi.org/10.5694/mja2.51153

Welberry HJ; Jorm LR; Barbieri S; Hsu B; Brodaty H, 2021, 'The impact of dementia on aged care service transitions in the last five years of life', Age and Ageing, 50, pp. 1159 - 1165, http://dx.doi.org/10.1093/ageing/afaa254

Bharat C; Hickman M; Barbieri S; Degenhardt L, 2021, 'Big data and predictive modelling for the opioid crisis: existing research and future potential', Lancet Digital Health, 3, pp. e397 - e407, http://dx.doi.org/10.1016/S2589-7500(21)00058-3

Havard A; Barbieri S; Hanly M; Perez-Concha O; Tran DT; Kennedy D; Jorm LR, 2021, 'Medications used disproportionately during pregnancy: Priorities for research on the risks and benefits of medications when used during pregnancy', Pharmacoepidemiology and Drug Safety, 30, pp. 53 - 64, http://dx.doi.org/10.1002/pds.5131

Barbieri S; Mehta S; Wu B; Bharat C; Poppe K; Jorm L; Jackson R, 2021, 'Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach', International Journal of Epidemiology

Barbieri S; Kemp J; Perez-Concha O; Kotwal S; Gallagher M; Ritchie A; Jorm L, 2020, 'Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk', Scientific Reports, 10, pp. 1111, http://dx.doi.org/10.1038/s41598-020-58053-z

Welberry HJ; Brodaty H; Hsu B; Barbieri S; Jorm LR, 2020, 'Impact of Prior Home Care on Length of Stay in Residential Care for Australians With Dementia', Journal of the American Medical Directors Association, 21, pp. 843 - 850.e5, http://dx.doi.org/10.1016/j.jamda.2019.11.023

Welberry H; Brodaty H; Hsu B; Barbieri S; Jorm L, 2020, 'Measuring dementia incidence within a cohort of 267,153 older Australians using routinely collected linked administrative data', Scientific Reports, 10, pp. 1 - 14, http://dx.doi.org/10.1038/s41598-020-65273-w

Barbieri S; Gurney-Champion OJ; Klaassen R; Thoeny HC, 2020, 'Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI', Magnetic Resonance in Medicine, 83, pp. 312 - 321, http://dx.doi.org/10.1002/mrm.27910

Barbieri S; Jorm L, 2019, 'Travel times to hospitals in Australia', Scientific Data, 6, http://dx.doi.org/10.1038/s41597-019-0266-4

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