Dr Sebastiano Barbieri

Back to

Dr. Sebastiano Barbieri is A/Prof and principal research fellow at the Queensland Digital Health Centre (UQ) and adjunct A/Prof at the Centre for Big Data Research in Health (UNSW). Sebastiano is interested in developing novel machine learning methods and in applying these techniques to various problems in health and medicine, with the aim of improving patient care, making clinical processes more streamlined and effective, and improving population health.

Sebastiano completed his PhD in computer science at the Fraunhofer MeVis Institute for Digital Medicine and Jacobs University Bremen, Germany and obtained Master's degrees in visual computing (Saarland University, Germany) and biostatistics (Biostatistics Collaboration of Australia).

His current research focuses on deep learning for risk prediction based on electronic medical records, synthetic data generation, federated learning, and medical image processing.

E-mail

s.barbieri@uq.edu.au

Book Chapters | 2017

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

Book Chapters | 2010

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

Book Chapters | 2009

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 | 2024

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

Journal articles | 2024

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2023

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

Journal articles | 2022

Bharat C; Gisev N; Barbieri S; Dobbins T; Larney S; Farrell M; Degenhardt L, 2022, '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, http://dx.doi.org/10.23889/ijpds.v7i3.1954

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2022

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

Journal articles | 2021

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

Journal articles | 2021

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

Journal articles | 2021

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

Journal articles | 2021

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

Journal articles | 2021

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

Journal articles | 2021

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

Journal articles | 2021

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

Journal articles | 2021

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

Journal articles | 2020

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

Journal articles | 2020

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

Journal articles | 2020

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

Journal articles | 2020

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

Journal articles | 2019

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

Journal articles | 2018

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

Journal articles | 2018

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

Journal articles | 2017

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

Journal articles | 2017

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

Journal articles | 2017

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

Journal articles | 2016

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

Journal articles | 2016

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

Journal articles | 2016

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

Journal articles | 2016

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

Journal articles | 2013

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

Journal articles | 2013

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

Journal articles | 2012

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

Journal articles | 2012

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

Journal articles | 2011

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

Journal articles | 2011

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
Preprints | 2023

Kuo NI-H; Jorm L; Barbieri S, 2023, Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models, , http://dx.doi.org/10.48550/arxiv.2303.12281

Preprints | 2023

Kuo NI-H; 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, 2023, Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project (Preprint), , http://dx.doi.org/10.2196/preprints.51388

Preprints | 2023

Micheletti N; Marchesi R; Kuo NI-H; Barbieri S; Jurman G; Osmani V, 2023, Generative AI Mitigates Representation Bias Using Synthetic Health Data, , http://dx.doi.org/10.1101/2023.09.26.23296163

Preprints | 2022

Kuo NI-H; Garcia F; Sönnerborg A; Zazzi M; Böhm M; Kaiser R; Polizzotto M; Jorm L; Barbieri S, 2022, Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV, , http://dx.doi.org/10.48550/arxiv.2208.08655

Preprints | 2022

Kuo NI-H; Polizzotto MN; Finfer S; Garcia F; Sönnerborg A; Zazzi M; Böhm M; Jorm L; Barbieri S, 2022, The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms, , http://dx.doi.org/10.48550/arxiv.2203.06369

Conference Papers | 2022

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

Conference Papers | 2021

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', in DRUG AND ALCOHOL REVIEW, WILEY, pp. S46 - S47, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000715073200121&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Conference Abstracts | 2021

Bharat C; Larney S; Barbieri S; Dobbins T; Jones NR; Hickman M; Gisev N; Ali R; Degenhardt L, 2021, 'The effect of prescriber, treatment, and client characteristics on retention in opioid agonist treatment: A 15-year retrospective cohort study', in PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, WILEY, Vol. 30, pp. 357 - 357, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000687807300726&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Preprints | 2021

Kuo NI-H; Polizzotto M; Finfer S; Jorm L; Barbieri S, 2021, Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project, , http://dx.doi.org/10.48550/arxiv.2112.03914

Preprints | 2021

Liu J; Gallego B; Barbieri S, 2021, Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis, , http://dx.doi.org/10.48550/arxiv.2108.07392

Conference Papers | 2021

Misha P. T. 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', online, presented at ISMRM 2021, online, 15 May 2021 - 20 May 2021

Conference Abstracts | 2021

Welberry H; Jorm L; Schaffer A; Barbieri S; Hsu B; Harris M; Hall J; Brodaty H, 2021, 'Changing general practitioner when entering residential aged care: impact on psychotropic medicine use and polypharmacy in 2,250 Australians with dementia', in Australian Dementia Forum, presented at Australian Dementia Forum

Preprints | 2020

Barbieri S; Mehta S; Wu B; Bharat C; Poppe K; Jorm L; Jackson R, 2020, Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach, , http://dx.doi.org/10.48550/arxiv.2011.14032

Conference Abstracts | 2020

Hungerford P; Barbieri S; Schuler T; Eade T, 2020, 'Data Standardisation in Radiotherapy Using Deep Learning', in SPIE Medical Imaging, Houston, Texas, presented at SPIE Medical Imaging, Houston, Texas

Preprints | 2020

Kaandorp MPT; Barbieri S; Klaassen R; van Laarhoven HWM; Crezee H; While PT; Nederveen AJ; Gurney-Champion OJ, 2020, Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients, , http://dx.doi.org/10.48550/arxiv.2011.01689

Conference Abstracts | 2020

Welberry H; Brodaty H; Hsu B; Barbieri S; Jorm L, 2020, 'Impact of prior home care on length-of-stay in residential care for Australians living with dementia', in Australian Dementia Forum, Adelaide, Australia, presented at Australian Dementia Forum, Adelaide, Australia

Conference Abstracts | 2020

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', in 34th International Conference of Alzheimer’s Disease, Singapore, presented at 34th International Conference of Alzheimer’s Disease, Singapore

Conference Abstracts | 2020

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', in International Population Data Linkage Network, presented at International Population Data Linkage Network

Preprints | 2019

Barbieri S; Gurney-Champion OJ; Klaassen R; Thoeny HC, 2019, Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI, , http://dx.doi.org/10.48550/arxiv.1903.00095

Preprints | 2019

Barbieri S; Kemp J; Perez-Concha O; Kotwal S; Gallagher M; Ritchie A; Jorm L, 2019, Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk, , http://dx.doi.org/10.48550/arxiv.1905.08547

Conference Abstracts | 2019

Barbieri S; Perez Concha O; Kotwal S; Gallagher M; Ritchie A; Jorm L, 2019, 'A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk', in HSRAANZ, Auckland, New Zealand, presented at HSRAANZ, Auckland, New Zealand

Conference Abstracts | 2019

Welberry H; Brodaty H; Barbieri S; Hsu B; Jorm L, 2019, 'Transitions through aged care in the last five years of life among those with dementia', in Australian Dementia Forum, Hobart, TAS, Australia, presented at Australian Dementia Forum, Hobart, TAS, Australia

Conference Abstracts | 2019

Welberry H; Brodaty H; Hsu B; Barbieri S; Jorm L, 2019, 'Impact of prior home care on length of stay in residential care for Australians with dementia', in HSRAANZ, Auckland, New Zealand, presented at HSRAANZ, Auckland, New Zealand

Conference Abstracts | 2018

Welberry H; Brodaty H; Hsu B; Barbieri S; Jorm L, 2018, 'Estimating dementia incidence and prevalence with multiple linked datasets', in Australian Epidemiological Associating Meeting, Fremantle, WA, Australia, presented at Australian Epidemiological Associating Meeting, Fremantle, WA, Australia

Conference Abstracts | 2017

Barbieri S; Steiger P; Kruse A; Ith M; Thoeny H, 2017, 'DW-MRI as an alternative to biopsy in renal allograft patients with deteriorating renal function: a preliminary study', in European Congress of Radiology, Vienna, Austria, presented at European Congress of Radiology, Vienna, Austria

Conference Papers | 2017

Barbieri S; Thoeny H, 2017, 'Training an Artificial Neural Network by Diffusion-Weighted MRI Data to Differentiate Between Prostate Cancer With High and With Low Gleason Score', Honolulu, HI, USA, presented at ISMRM 25th Annual Meeting & Exhibition, Honolulu, HI, USA, 22 April 2017 - 27 April 2017

Conference Abstracts | 2017

Munz J; Boxler S; Barbieri S; Thoeny H, 2017, 'Multiparametric MRI (mpMRI) of the prostate based on PI-RADS version 2: detection rate and negative predictive value', in Swiss Congress of Radiology, Bern, Switzerland, presented at Swiss Congress of Radiology, Bern, Switzerland

Conference Abstracts | 2016

Barbieri S; Brönnimann M; Boxler S; Thoeny H, 2016, 'Detecting High-Risk Prostate Cancer by Analysing the Histogram of ADC and IVIM Parameter Values', in Swiss Congress of Radiology, Davos, Switzerland, presented at Swiss Congress of Radiology, Davos, Switzerland

Conference Abstracts | 2016

Barbieri S; Donati O; Froehlich J; Thoeny H, 2016, 'Impact of Vendor and Field Strength of the Magnetic Resonance Scanner on Measurements of IVIM Parameter Values in Abdominal Organs', in Swiss Congress of Radiology, Davos, Switzerland, presented at Swiss Congress of Radiology, Davos, Switzerland

Conference Papers | 2013

Barbieri S; Torresani B, 2013, 'Basis Selection for Increased Interclass Separability of EEG Signals', Pacific Grove, California, USA, presented at 5th International Brain-Computer Interface Meeting, Pacific Grove, California, USA

Conference Papers | 2013

Barbieri S; Torresani B, 2013, 'Optimal time-frequency bases for EEG signal classification in BCI context', Brest, France, presented at GRETSI, Brest, France

Conference Abstracts | 2012

Klein J; Weiler F; Barbieri S; Hirsch J; Geisler B; Hahn H, 2012, 'Novel Features of NeuroQLab - A Software Assistant for Evaluating Neuroimaging Data', in European Congress of Radiology, Vienna, Austria, presented at European Congress of Radiology, Vienna, Austria

Conference Papers | 2011

Barbieri S; Bauer M; Klein J; Nimsky C; Hahn H, 2011, 'Analyzing the Accuracy of Fiber Tracking in Infiltrated Regions via Tumor Growth Simulation', Providence, Rhode Island, USA, presented at IEEE Visualization, Working with Uncertainty Workshop, Providence, Rhode Island, USA

Conference Abstracts | 2011

Klein J; Weiler F; Barbieri S; Hirsch J; Geisler B; Hahn H, 2011, 'NeuroQLab - An Extendible Software Assistant for Efficient and Reproducible Evaluation of Neuroimaging Data', in European Congress of Radiology, Vienna, Austria, presented at European Congress of Radiology, Vienna, Austria

Conference Papers | 2011

Moltz JH; Braunewell S; Rühaak J; Heckel F; Barbieri S; Tautz L; Hahn HK; Peitgen HO, 2011, 'Analysis of variability in manual liver tumor delineation in CT scans', in Proceedings - International Symposium on Biomedical Imaging, pp. 1974 - 1977, http://dx.doi.org/10.1109/ISBI.2011.5872797

Conference Papers | 2010

Barbieri S; Bauer M; Klein J; Nimsky C; Hahn H, 2010, 'A variational, nonparametric approach to the fuzzy segmentation of diffusion tensor images', Beijing, China, presented at MICCAI workshop on computational diffusion MRI (CDMRI), Beijing, China, 20 September 2010 - 24 September 2010

Conference Papers | 2010

Barbieri S; Klein J; Nimsky C; Hahn H, 2010, 'Towards Image-Dependent Safety Hulls for Fiber Tracking', Stockholm, Sweden, presented at ISMRM, Stockholm, Sweden

Conference Papers | 2010

Barbieri S; Klein J; Nimsky C; Hahn HK, 2010, 'Assessing fiber tracking accuracy via diffusion tensor software models', in Progress in Biomedical Optics and Imaging - Proceedings of SPIE, http://dx.doi.org/10.1117/12.844215

Conference Papers | 2010

Bauer M; Barbieri S; Klein J; Egger J; Kuhnt D; Hahn H; Freisleben B; Nimsky C, 2010, 'A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging', Geneva, Switzerland, presented at Computer Assisted Radiology and Surgery, Geneva, Switzerland

Conference Abstracts | 2010

Bauer M; Egger J; Barbieri S; Klein J; Kuhnt D; Hahn H; Freisleben B; Nimsky C, 2010, 'Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation', in Biosignal 2010, Berlin, Germany, presented at International Biosignal Processing Conference, Berlin, Germany

Conference Abstracts | 2010

Bauer M; Egger J; Kuhnt D; Barbieri S; Freisleben B; Nimsky C, 2010, 'Evaluation of Several Cost Functions for Min-Cut-Segmentation of Fiber Bundles in the Human Brain', in 61st Annual Meeting of the German Society of Neurosurgery (DGNC), Mannheim, Germany, presented at Neurowoche, Mannheim, Germany

Conference Abstracts | 2010

Bauer M; Egger J; Kuhnt D; Barbieri S; Klein J; Hahn H; Freisleben B; Nimsky C, 2010, 'Ein semi-automatischer graphbasierter Ansatz zur Bestimmungen des Randes von eloquenten Faserverbindungen des menschlichen Gehirns', in 44th DGBMT Annual Meeting, Rostock, Germany, presented at 44th DGBMT Annual Meeting, Rostock, Germany

Conference Papers | 2010

Bauer MHA; Barbieri S; Egger J; Kuhnt D; Klein J; Hahn HK; Freisleben B; Nimsky C, 2010, 'Segmentation of fiber tract systems with a beam-based approach and smoothing of the FA and angular cards', in CEUR Workshop Proceedings, pp. 147 - 151

Conference Papers | 2010

Bauer MHA; Egger J; O'Donnell T; Barbieri S; Klein J; Freisleben B; Hahn HK; Nimsky C, 2010, 'A fast and robust graph-based approach for boundary estimation of fiber bundles relying on fractional anisotropy maps', in Proceedings - International Conference on Pattern Recognition, pp. 4016 - 4019, http://dx.doi.org/10.1109/ICPR.2010.1155

Conference Papers | 2010

Klein J; Grötsch A; Betz D; Barbieri S; Friman O; Stieltjes B; Hildebrandt H; Hahn HK, 2010, 'Qualitative and quantitative analysis of probabilistic and deterministic fiber tracking', in Progress in Biomedical Optics and Imaging - Proceedings of SPIE, http://dx.doi.org/10.1117/12.843472

Conference Papers | 2008

Barbieri S; Welk M; Weickert J, 2008, 'Variatlonal registration of tensor-valued images', in 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, http://dx.doi.org/10.1109/CVPRW.2008.4562964

Follow

Dr Sebastiano Barbieri