By Dr Sebastiano Barbieri

Preprints

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

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

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

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://arxiv.org/abs/1905.08547v3

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

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