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2020 – today
- 2025
[e2]Virginia Fernandez
, Jelmer M. Wolterink, David Wiesner, Samuel Remedios, Lianrui Zuo, Adrià Casamitjana:
Simulation and Synthesis in Medical Imaging - 9th International Workshop, SASHIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15187, Springer 2025, ISBN 978-3-031-73280-5 [contents]- 2024
- [j1]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Petru-Daniel Tudosiu, Tom Vercauteren, M. Jorge Cardoso:
Generating multi-pathological and multi-modal images and labels for brain MRI. Medical Image Anal. 97: 103278 (2024) - [c8]Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Using MR Physics for Domain Generalisation and Super-Resolution. SASHIMI@MICCAI 2024: 177-186 - 2023
- [c7]Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, M. Jorge Cardoso:
Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. DGM4MICCAI 2023: 3-13 - [c6]Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. SASHIMI@MICCAI 2023: 53-63 - [c5]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. DGM4MICCAI 2023: 132-142 - [e1]Jelmer M. Wolterink, David Svoboda, Can Zhao, Virginia Fernandez:
Simulation and Synthesis in Medical Imaging - 8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14288, Springer 2023, ISBN 978-3-031-44688-7 [contents] - [i7]Manuel Lagunas, Brayan Impata, Victor Martinez, Virginia Fernandez, Christos Georgakis, Sofia Braun, Felipe Bertrand:
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers. CoRR abs/2305.10018 (2023) - [i6]Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Jorge Cardoso:
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models. CoRR abs/2306.01322 (2023) - [i5]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:
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR abs/2307.15208 (2023) - [i4]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
A 3D generative model of pathological multi-modal MR images and segmentations. CoRR abs/2311.04552 (2023) - 2022
- [c4]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:
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI 2022: 66-78 - [c3]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
Can Segmentation Models Be Trained with Fully Synthetically Generated Data? SASHIMI@MICCAI 2022: 79-90 - [c2]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Brain Imaging Generation with Latent Diffusion Models. DGM4MICCAI@MICCAI 2022: 117-126 - [i3]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, Jorge Cardoso:
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR abs/2209.03177 (2022) - [i2]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Brain Imaging Generation with Latent Diffusion Models. CoRR abs/2209.07162 (2022) - [i1]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
Can segmentation models be trained with fully synthetically generated data? CoRR abs/2209.08256 (2022) - 2021
- [c1]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:
Alert System for Algae Bloom Detection in Inland Waters of Latin America: An Ongoing Project. IGARSS 2021: 72-75
Coauthor Index
aka: Walter Hugo Lopez Pinaya
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