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; et al. (IGARSS, 2021)

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 (SASHIMI@MICCAI, 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 (DGM4MICCAI@MICCAI, 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; et al. (SASHIMI@MICCAI, 2022)

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 (SASHIMI@MICCAI, 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 (DGM4MICCAI, 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 (DGM4MICCAI, 2023)

Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers. - Manuel Lagunas; Brayan Impata; Victor Martinez; Virginia Fernandez; Christos Georgakis 003; Sofia Braun; Felipe Bertrand (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)

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 001; et al. (CoRR, 2023)

Using MR Physics for Domain Generalisation and Super-Resolution. - Pedro Borges; Virginia Fernandez; Petru-Daniel Tudosiu; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (SASHIMI@MICCAI, 2024)

Generating multi-pathological and multi-modal images and labels for brain MRI. - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Mark S. Graham; Petru-Daniel Tudosiu; Tom Vercauteren; M. Jorge Cardoso (Medical Image Anal., 2024)

Realistic morphology-preserving generative modelling of the brain. - Petru-Daniel Tudosiu; Walter H. L. Pinaya; Pedro Ferreira Da Costa; Jessica Dafflon; Ashay Patel; Pedro Borges; Virginia Fernandez; Mark S. Graham; Robert J. Gray; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (Nat. Mac. Intell., 2024)