Select Publications

Journal articles

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, vol. 10, pp. 1111, http://dx.doi.org/10.1038/s41598-020-58053-z

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, vol. 83, pp. 312 - 321, http://dx.doi.org/10.1002/mrm.27910

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, http://dx.doi.org/10.1016/j.jamda.2019.11.023

Barbieri S; Jorm L, 2019, 'Travel times to hospitals in Australia', Scientific data, vol. 6, pp. 248, 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 6, pp. 1 - 11, http://dx.doi.org/10.1007/s11548-010-0423-x


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