Virginia Fernandez

According to our database, Virginia Fernandez authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Generative AI for Medical Imaging: extending the MONAI Framework.

Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

CoRR, 2023

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

Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Jorge Cardoso

CoRR, 2023

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

Manuel Lagunas, Brayan Impata, Victor Martinez, Virginia Fernandez, Christos Georgakis, Sofia Braun, Felipe Bertrand

CoRR, 2023

Privacy Distillation: Reducing Re-identification Risk of Diffusion Models.

Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, M. Jorge Cardoso

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations.

Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso

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.

Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

2022

Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain.

Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Brain Imaging Generation with Latent Diffusion Models.

Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

Can Segmentation Models Be Trained with Fully Synthetically Generated Data?

Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

2021

Alert System for Algae Bloom Detection in Inland Waters of Latin America: An Ongoing Project.

Felipe L. Lobo, Gustavo Willy Nagel, Daniel Andrade Maciel, Anabella Ferral, Alba Germãn, Lino A. S. de Carvalho, Vitor Souza Martins, Cláudio C. F. Barbosa, Evlyn Novo, Martin Fernandez, Virginia Fernandez, João S. Yunes, Gilberto L. Collares, Steve Greb, Giuliana Beltramone, Liliana Piedra-Castro, Waterloo Pereira Filho, Elizabeth Montoya, Marcelo C. Scavuzzo, Marisol S. Sanchez, Michal Shimoni

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021