Petru-Daniel Tudosiu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
2
Active years
2020–2024
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. | Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot |
| 2024 | MICCAI | Using MR Physics for Domain Generalisation and Super-Resolution. | Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | CVPR | Denoising diffusion models for out-of-distribution detection. | Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | MICCAI | Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. | Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | MICCAI | Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. | Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jger, David Werring, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | MICCAI | Geometry-Invariant Abnormality Detection. | Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | MICCAI | InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. | Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan V. Marinescu |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. | Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary J. Cook, Vicky Goh, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. | Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jger, David Werring, Geraint Rees, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | Brain Imaging Generation with Latent Diffusion Models. | Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | 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, Sbastien Ourselin, M. Jorge Cardoso |
| 2020 | MICCAI | Hierarchical Brain Parcellation with Uncertainty. | Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, Manuel Jorge Cardoso |