By Dr Sebastiano Barbieri

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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