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

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

Bharat C; Gisev N; Barbieri S; Dobbins T; Larney S; Buizen L; Degenhardt L, 2024, 'Association of Opioid Analgesics, Benzodiazepines, Gabapentinoids, and Opioid Agonist Treatment With Mortality Among Individuals With Opioid Dependence', Drug and Alcohol Dependence, 260, pp. 110845 - 110845, http://dx.doi.org/10.1016/j.drugalcdep.2023.110845

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 - 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', The 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

Nairz K; Böhm I; Barbieri S; Fiechter D; Hošek N; Heverhagen J, 2018, 'Enhancing patient value efficiently: Medical history interviews create patient satisfaction and contribute to an improved quality of radiologic examinations', PLoS ONE, 13, http://dx.doi.org/10.1371/journal.pone.0203807

Gurney-Champion OJ; Klaassen R; Froeling M; Barbieri S; Stoker J; Engelbrecht MRW; Wilmink JW; Besselink MG; Bel A; Van Laarhoven HWM; Nederveen AJ, 2018, 'Comparison of six fit algorithms for the intravoxel incoherent motion model of diffusionweighted magnetic resonance imaging data of pancreatic cancer patients', PLoS ONE, 13, http://dx.doi.org/10.1371/journal.pone.0194590

Thoeny HC; Barbieri S; Froehlich JM; Turkbey B; Choyke PL, 2017, 'Functional and targeted lymph node imaging in prostate cancer: Current status and future challenges', Radiology, 285, pp. 728 - 743, http://dx.doi.org/10.1148/radiol.2017161517

Steiger P; Barbieri S; Kruse A; Ith M; Thoeny HC, 2017, 'Selection for biopsy of kidney transplant patients by diffusion-weighted MRI', European Radiology, 27, pp. 4336 - 4344, http://dx.doi.org/10.1007/s00330-017-4814-z

Barbieri S; Brönnimann M; Boxler S; Vermathen P; Thoeny HC, 2017, 'Differentiation of prostate cancer lesions with high and with low Gleason score by diffusion-weighted MRI', European Radiology, 27, pp. 1547 - 1555, http://dx.doi.org/10.1007/s00330-016-4449-5

Taouli B; Beer AJ; Chenevert T; Collins D; Lehman C; Matos C; Padhani AR; Rosenkrantz AB; Shukla-Dave A; Sigmund E; Tanenbaum L; Thoeny H; Thomassin-Naggara I; Barbieri S; Corcuera-Solano I; Orton M; Partridge SC; Koh DM, 2016, 'Diffusion-weighted imaging outside the brain: Consensus statement from an ISMRM-sponsored workshop', Journal of Magnetic Resonance Imaging, 44, pp. 521 - 540, http://dx.doi.org/10.1002/jmri.25196

Barbieri S; Donati OF; Froehlich JM; Thoeny HC, 2016, 'Comparison of intravoxel incoherent motion parameters across MR imagers and field strengths: Evaluation in upper abdominal organs', Radiology, 279, pp. 784 - 794, http://dx.doi.org/10.1148/radiol.2015151244

Barbieri S; Schroeder C; Froehlich JM; Pasch A; Thoeny HC, 2016, 'High signal intensity in dentate nucleus and globus pallidus on unenhanced T1-weighted MR images in three patients with impaired renal function and vascular calcification', Contrast Media and Molecular Imaging, 11, pp. 245 - 250, http://dx.doi.org/10.1002/cmmi.1683

Barbieri S; Donati OF; Froehlich JM; Thoeny HC, 2016, 'Impact of the calculation algorithm on biexponential fitting of diffusion-weighted MRI in upper abdominal organs', Magnetic Resonance in Medicine, 75, pp. 2175 - 2184, http://dx.doi.org/10.1002/mrm.25765

Beg MF; Raamana PR; Barbieri S; Wang L, 2013, 'Comparison of four shape features for detecting hippocampal shape changes in early Alzheimer's', Statistical Methods in Medical Research, 22, pp. 439 - 462, http://dx.doi.org/10.1177/0962280212448975

Bauer MHA; Kuhnt D; Barbieri S; Klein J; Becker A; Freisleben B; Hahn HK; Nimsky C, 2013, 'Reconstruction of White Matter Tracts via Repeated Deterministic Streamline Tracking - Initial Experience', PLoS ONE, 8, http://dx.doi.org/10.1371/journal.pone.0063082

Barbieri S; Bauer MHA; Klein J; Moltz J; Nimsky C; Hahn HK, 2012, 'DTI segmentation via the combined analysis of connectivity maps and tensor distances', NeuroImage, 60, pp. 1025 - 1035, http://dx.doi.org/10.1016/j.neuroimage.2012.01.076

Barbieri S; Klein J; Bauer MHA; Nimsky C; Hahn HK, 2012, 'Atlas-based fiber reconstruction from diffusion tensor MRI data', International Journal of Computer Assisted Radiology and Surgery, 7, pp. 959 - 967, http://dx.doi.org/10.1007/s11548-012-0774-6

Barbieri S; Bauer MHA; Klein J; Nimsky C; Hahn HK, 2011, 'Segmentation of fiber tracts based on an accuracy analysis on diffusion tensor software phantoms', NeuroImage, 55, pp. 532 - 544, http://dx.doi.org/10.1016/j.neuroimage.2010.12.069

Bauer MHA; Barbieri S; Klein J; Egger J; Kuhnt D; Freisleben B; Hahn HK; Nimsky C, 2011, 'Boundary estimation of fiber bundles derived from diffusion tensor images', International Journal of Computer Assisted Radiology and Surgery, 6, pp. 1 - 11, http://dx.doi.org/10.1007/s11548-010-0423-x

Bharat C; Gisev N; Barbieri S; Dobbins T; Larney S; Farrell M; Degenhardt L, 'The effect of opioid analgesics, benzodiazepines, gabapentinoids, and opioid agonist treatment on mortality risk among opioid-dependent people.', International journal of population data science, 7

Conference Papers

Kuppens D; Barbieri S; Rauh S; Gurney-Champion O, 2024, 'Generic and Robust Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations', in ISMRM Annual Meeting, ISMRM, presented at 2024 ISMRM & ISMRT Annual Meeting, 04 May 2024 - 09 May 2024, http://dx.doi.org/10.58530/2024/1204

Kuppens D; van den Berg D; Barbieri S; Nederveen A; Gurney-Champion O, 2023, 'Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations: Proof-of-Concept in Intra-voxel Incoherent Motion', in ISMRM Annual Meeting, ISMRM, presented at 2023 ISMRM & ISMRT Annual Meeting, 03 June 2023 - 08 June 2023, http://dx.doi.org/10.58530/2023/5184

Ottens T; Barbieri S; Orton M; Klaassen R; van Laarhoven H; Crezee H; Nederveen A; Gurney-Champion O, 2022, 'Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer', in ISMRM Annual Meeting, ISMRM, presented at Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting, 07 May 2022 - 12 May 2022, http://dx.doi.org/10.58530/2022/4910

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