Sebastiano Barbieri

Orcid: 0009-0000-2769-0329

According to our database1, Sebastiano Barbieri authored at least 28 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV.
J. Biomed. Informatics, August, 2023

Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models.
CoRR, 2023

Supporting the Management Plan of a World Heritage Site Nomination Through a Multi-step Evaluation Approach.
Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022
Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer.
Medical Image Anal., 2022

Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV.
CoRR, 2022

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

2021
Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project.
CoRR, 2021

Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis.
CoRR, 2021

2020
Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach.
CoRR, 2020

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

2019
A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk.
CoRR, 2019

Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI.
CoRR, 2019

2013
On the Accuracy of Fiber Tractography.
PhD thesis, 2013

A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging.
CoRR, 2013

2012
DTI segmentation via the combined analysis of connectivity maps and tensor distances.
NeuroImage, 2012

Atlas-based fiber reconstruction from diffusion tensor MRI data.
Int. J. Comput. Assist. Radiol. Surg., 2012

2011
Segmentation of fiber tracts based on an accuracy analysis on diffusion tensor software phantoms.
NeuroImage, 2011

Benchmarking the Quality of Diffusion-Weighted Images
CoRR, 2011

Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation
CoRR, 2011

A Semi-Automatic Graph-Based Approach for Determining the Boundary of Eloquent Fiber Bundles in the Human Brain
CoRR, 2011

Boundary estimation of fiber bundles derived from diffusion tensor images.
Int. J. Comput. Assist. Radiol. Surg., 2011

Analysis of variability in manual liver tumor delineation in CT scans.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Assessing fiber tracking accuracy via diffusion tensor software models.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Qualitative and quantitative analysis of probabilistic and deterministic fiber tracking.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

A Fast and Robust Graph-Based Approach for Boundary Estimation of Fiber Bundles Relying on Fractional Anisotropy Maps.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Segmentierung von Faserbahnsystemen mit einem strahlenbasierten Ansatz und Glättung der FA- und Winkel-Karten.
Proceedings of the 9. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2010

2009
A Variational Approach to the Registration of Tensor-Valued Images.
Proceedings of the Tensors in Image Processing and Computer Vision, 2009

2008
Variational registration of tensor-valued images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008


  Loading...