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Dr Sebastiano Barbieri

Dr Sebastiano Barbieri

Adjunct Associate Professor
Medicine & Health
Centre for Big Data Research in Health

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,
    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, '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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    Journal articles | 2020
    Welberry HJ; Brodaty H; Hsu B; Barbieri S; Jorm LR, 2020, 'Impact of Prior 91³ÉÈ˰涶Òô Care on Length of Stay in Residential Care for Australians With Dementia', Journal of the American Medical Directors Association, 21, pp. 843 - 850.e5,
    Journal articles | 2019
    Barbieri S; Jorm L, 2019, 'Travel times to hospitals in Australia', Scientific Data, 6,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    Journal articles |
    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
  • Preprints | 2023
    Kuo NI-H; Jorm L; Barbieri S, 2023, Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models, ,
    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),
    Preprints | 2023
    Micheletti N; Marchesi R; Kuo NI-H; Barbieri S; Jurman G; Osmani V, 2023, Generative AI Mitigates Representation Bias and Improves Model Fairness Through Synthetic Health Data,
    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,
    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,
    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,
    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,
    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,
    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,
    Preprints | 2021
    Liu J; Gallego B; Barbieri S, 2021, Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis, ,
    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, ,
    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, ,
    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, ,
    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, ,
    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,
    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,
    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,
    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,
    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,