Virginia Fernandez

Orcid: 0000-0001-5984-197X

According to our database1, Virginia Fernandez authored at least 13 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Realistic morphology-preserving generative modelling of the brain.
Nat. Mac. Intell., 2024

Generating multi-pathological and multi-modal images and labels for brain MRI.
Medical Image Anal., 2024

Using MR Physics for Domain Generalisation and Super-Resolution.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2024

2023
Generative AI for Medical Imaging: extending the MONAI Framework.
CoRR, 2023

Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models.
CoRR, 2023

Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers.
CoRR, 2023

Privacy Distillation: Reducing Re-identification Risk of Diffusion Models.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

2022
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Brain Imaging Generation with Latent Diffusion Models.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

Can Segmentation Models Be Trained with Fully Synthetically Generated Data?
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

2021


  Loading...