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Dr Sebastiano Barbieri
Senior Lecturer

Dr Sebastiano Barbieri

Medicine & Health
Centre for Big Data Research in Health

Dr. Sebastiano Barbieri is a senior research fellow at the Centre for Big Data Research in Health. 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 and making clinical processes more streamlined and effective.

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 and Macquarie University).

His current research focuses on deep learning for risk prediction based on electronic medical records, applications of reinforcement learning in health, and medical image processing.
E-mail
s.barbieri@unsw.edu.au
  • Book Chapters | 2017
    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
    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 | 2023
    2023, 'Associations of Breast Arterial Calcifications with Cardiovascular Disease.', J Womens Health (Larchmt), http://dx.doi.org/10.1089/jwh.2022.0394
    Journal articles | 2023
    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
    2023, 'Increasing national trend of direct-acting antiviral discontinuation among people treated for HCV 2016-2021.', Hepatol Commun, 7, http://dx.doi.org/10.1097/HC9.0000000000000125
    Journal articles | 2023
    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 | 2022
    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
    2022, 'Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer', Medical Image Analysis, 80, pp. 102512, http://dx.doi.org/10.1016/j.media.2022.102512
    Journal articles | 2022
    2022, 'Incorporating uncertainty in learning to defer algorithms for safe computer-aided diagnosis', Scientific Reports, 12, pp. 1762, http://dx.doi.org/10.1038/s41598-022-05725-7
    Journal articles | 2022
    2022, 'The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms', Scientific Data, 9, pp. 693, http://dx.doi.org/10.1038/s41597-022-01784-7
    Journal articles | 2022
    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
    2022, 'Trends in opioid analgesic utilisation among people with a history of opioid dependence', Drug and Alcohol Dependence, 238, pp. 109548 - 109548, http://dx.doi.org/10.1016/j.drugalcdep.2022.109548
    Journal articles | 2021
    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
    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
    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
    2021, 'Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach', International Journal of Epidemiology
    Journal articles | 2021
    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 | 2021
    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
    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
    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 | 2020
    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
    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
    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 | 2020
    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 | 2019
    2019, 'Travel times to hospitals in Australia', Scientific Data, 6, pp. 248, 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 MR W; Wilmink JW; Besselink MG; Bel A; Van Laarhoven HW M; 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 MH A; 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 MH A; 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 MH A; 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 MH A; 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 MH A; 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
    2023, Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models, , http://dx.doi.org/10.48550/arxiv.2303.12281
    Preprints | 2022
    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
    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 Abstracts | 2021
    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
    Conference Papers | 2021
    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 Papers | 2021
    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
    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
    2021, Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis, , http://dx.doi.org/10.48550/arxiv.2108.07392
    Preprints | 2021
    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
    Conference Abstracts | 2020
    2020, 'Data Standardisation in Radiotherapy Using Deep Learning', in SPIE Medical Imaging, Houston, Texas, presented at SPIE Medical Imaging, Houston, Texas
    Conference Abstracts | 2020
    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
    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
    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 | 2020
    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
    Preprints | 2020
    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 | 2019
    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
    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 | 2019
    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
    Preprints | 2019
    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
    Preprints | 2019
    2019, Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI, , http://dx.doi.org/10.48550/arxiv.1903.00095
    Conference Abstracts | 2018
    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
    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 Abstracts | 2017
    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 Papers | 2017
    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 | 2016
    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
    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
    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
    2013, 'Optimal time-frequency bases for EEG signal classification in BCI context', Brest, France, presented at GRETSI, Brest, France
    Conference Abstracts | 2012
    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
    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 | 2011
    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
    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 | 2010
    Barbieri S; Bauer M; Klein J; Nimsky C; Hahn H, 2010, 'A variational, nonparametric approach to the fuzzy segmentation of diffusion tensor images', in A variational, nonparametric approach to the fuzzy segmentation of diffusion tensor images, MICCAI workshop on computational diffusion MRI (CDMRI), 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 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 MH A; 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 MH A; 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 | 2010
    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
    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 Abstracts | 2010
    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
    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 Papers | 2010
    2010, 'Towards Image-Dependent Safety Hulls for Fiber Tracking', Stockholm, Sweden, presented at ISMRM, Stockholm, Sweden
    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