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Sebastiano Barbieri

Queensland Digital Health Centre, University of Queensland, Brisbane, Australia, Centre for Big Data Research in Health, UNSW Sydney, Sydney, Australia

Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer

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Feb 28, 2025
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Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations

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Dec 30, 2024
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Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models

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Mar 22, 2023
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Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV

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Aug 18, 2022
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The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms

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Mar 12, 2022
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Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project

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Dec 07, 2021
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Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis

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Sep 03, 2021
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Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach

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Nov 28, 2020
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Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients

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Nov 03, 2020
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A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk

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May 21, 2019
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